Total 535 solution architect job vacancies in Art / Design / Entertainment category

Job Summary

Seeking a Messaging & Collaboration Cloud Architect to design and govern enterprise messaging platforms across Microsoft Exchange, Exchange Online, Microsoft 365, and Azure environments. Responsible for driving messaging modernization, cloud migration, security, compliance, and operational governance initiatives.

Mandatory Skill-set

• 8+ years of experience in Microsoft Messaging and Collaboration technologies;
• Hands-on experience with Microsoft Exchange Server and Exchange Online;
• Strong experience in Microsoft 365 Administration and Hybrid Exchange Deployments;
• Expertise in Entra ID (Azure AD), Active Directory, and identity integration;
• Experience with Azure Networking and hybrid cloud messaging solutions;
• Strong knowledge of mail flow, transport services, and messaging migrations;
• Hands-on experience with PowerShell automation and scripting;
• Knowledge of messaging security, compliance, and governance frameworks.

Desired Skill-set

• Experience supporting large-scale enterprise messaging environments;
• Knowledge of Microsoft Teams, SharePoint Online, and OneDrive integration;
• Relevant Microsoft and ITIL certifications.

Responsibilities

• Define messaging architecture standards, strategy, and roadmaps;
• Design and govern Exchange Server, Exchange Online, and Hybrid Exchange environments;
• Architect Microsoft 365 and Azure-integrated messaging solutions;
• Ensure messaging security, compliance, and governance requirements are met;
• Lead messaging migration and modernization initiatives;
• Establish operational standards, monitoring, and service management processes;
• Drive automation using PowerShell and AI-enabled operational tools;
• Provide technical leadership and collaborate with key technology teams. 

Should you be interested in this career opportunity, please send in your updated resume to apply@sciente.com at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website

(https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

ST Engineering is a global technology, defence andengineering group with offices across Asia, Europe, the Middle East and the U.S., serving customers inmore than 100 countries. The Group uses technology and innovation to solvereal-world problems and improve lives through its diverse portfolio ofbusinesses across the aerospace, smart city, defence and public securitysegments. Headquartered in Singapore, ST Engineering ranks amongthe largest companies listed on the Singapore Exchange.

Join our Cyber Team

Weare an industry leader in cybersecurity with over two decades of experience, wedeliver a holistic suite of trusted cybersecurity solutions to empower cyberresilience for government and ministries, critical infrastructure, andcommercial enterprises. Backed by our indigenous capabilities and deep domainexpertise, we offer robust cyber-secure products and services in cryptography,cybersecurity engineering, digital authentication, SCADA protection, audit andcompliance. We specialise in the design and build of security operationscentres for cybersecurity professionals and provide managed security servicesto strengthen the cybersecurity posture of our government and enterprisecustomers.

Responsibilities

• Design, implement, and maintain private cloud infrastructure to meet business and security requirements.
• Develop cloud architecture strategies aligned with organizational goals and compliance standards.
• Collaborate with cross-functional teams to integrate private cloud solutions with existing systems.
• Ensure high availability, scalability, and disaster recovery capabilities within the private cloud environment.
• Define and enforce governance, security, and operational best practices for private cloud deployments.
• Conduct performance tuning, capacity planning, and cost optimization for private cloud resources.
• Provide technical leadership and mentorship to engineering teams on cloud technologies and architecture.
• Stay updated on emerging private cloud technologies and recommend improvements to existing infrastructure.

Qualifications

• 8+ years of experience in IT infrastructure, with at least 4 years in cloud architecture roles.
• Proven experience in designing and deploying private cloud solutions (e.g., VMware, Nutanix).
• Strong understanding of networking, virtualization, storage, and security principles.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Strong communication and stakeholder management skills.

TechnicalExpertise

• Private Cloud Platforms: VMware vSphere, Nutanix.
• Virtualization Technologies: KVM, AHV.
• Networking: SDN, VLAN, VPN, Load Balancing.
• Storage Solutions: SAN, NAS, Object Storage.
• Automation & Orchestration: Ansible, Terraform, vRealize Automation.
• Operating Systems: Linux (RHEL, Ubuntu).
• Security & Compliance: Identity and Access Management, Encryption, Regulatory Compliance (ISO, GDPR).
• Monitoring & Performance Tools: Prometheus, Grafana, vRealize Operations.
• Scripting & Programming: Python, Bash.

Find out more:  https://www.stengg.com/cybersecurity

ST Engineering believes in fostering a culture where team membersare encouraged to overcome challenges, explore new ideas, and work together tosucceed. We value individuals who are determined to push beyond the boundaries,and have a thirst for knowledge, continuous learning, and self-improvement.

Overview: -

As an integral member of the Cloud Sales & Solutions team, the AWS Architect collaborates with cross-functional teams to design, modernize and implement secure, scalable cloud solutions on AWS while bringing working knowledge of Azure to guide hybrid and multi-cloud conversations. The role spans architecture strategy, solution design, migration and modernization, and stakeholder engagement across complex enterprise environments. The AWS Architect works closely with AWS, Microsoft, business partners, stakeholders and application owners to shape pragmatic architectures that align to business goals, governance requirements and long-term transformation roadmaps.

Key Responsibilities:

• Lead major opportunities and large-scale deals by developing AWS-centric architectural solutions and high-level designs that address client needs, non-functional requirements and business outcomes.
• Define cloud strategies aligned to customer goals, with a strong focus on AWS migration, application modernization, platform engineering and hybrid cloud adoption.
• Engage confidently in multi-cloud conversations, including Azure landscapes, to advise clients on workload placement, integration patterns, governance, resilience and cost optimization.
• Lead and participate in proof-of-concept (POC) initiatives for AWS, Azure and adjacent technologies, validating architecture choices against business and technical requirements.
• Collaborate with account, delivery and pricing teams to create solution estimates, migration roadmaps and value-led propositions for enterprise transformation programs.
• Drive architecture governance by establishing reference patterns, security controls, identity models, networking principles and operational guardrails across cloud environments.

Essential Skills:

• AWS Certified: AWS Solutions Architect Professional (preferred)
• Proven expertise in AWS cloud architecture, migration, modernisation and enterprise solution delivery.
• Working experience with Azure services and architecture patterns, with the ability to compare, position and integrate AWS and Azure capabilities in client discussions.
• Strong understanding of cloud and infrastructure components including compute, storage, networking, identity, security, data and application services across hybrid and multi-cloud environments.
• Hands-on knowledge of automation and DevOps/IaC tooling such as Terraform, Bicep, ARM, CI/CDpipelines and container platforms.
• Exceptional communication and consulting skills, with the ability to engage senior business and technical stakeholders and translate complex concepts into actionable decisions.
• Self-driven with a strong sense of initiative, facilitation capability and the ability to lead architecture discussions independently across distributed teams.

About Infosys

Infosys is a global leader in next-generation digital services and consulting. Over 320,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities. We enable clients in 59 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.

Visit 

www.infosys.com to see how Infosys (NYSE: INFY) can help you navigate your next.

Infosys has been recognized as a Top Employer across APAC — contributing to our sixth consecutive year of global certification. As an AI‑first organization, we empower our people to work on next‑generation technologies, continuously learn, and create impact at scale—supported by a culture rooted in care, inclusion, and excellence. 

Join Infosys and be part of a culture that’s not just promised—it’s certified. #TopEmployer2026 #ThriveAtInfosys

Position Description:

We are seeking a Sr / Principal Architect (AI) to serve as a trusted advisor and technical visionary for our enterprise clients across diverse industries. This individual will lead high-impact AI engagements — from strategy and ideation to architecture, implementation, and scaling — helping clients navigate the full lifecycle of AI adoption.

As the Lead architect, he/she will bridge business vision and deep technology execution, driving enterprise-grade AI solutions that are trustworthy, scalable, and aligned with organizational goals.

Flexible working arrangements (hybrid, reviewed case-by-case basis). Feel free to contact your recruiter to learn more about how this works in practice.

Essential Responsibilities:

·         Strategic Advisory: Partner with CxOs and senior technology leaders to define AI transformation roadmaps, enterprise AI strategy, and operating models for responsible and sustainable AI adoption.

·         Ideation and Design Leadership: Facilitate design thinking sessions and co-innovation workshops with clients to identify impactful AI opportunities across business domains.

·         Architecture and Solution Design: Translate business and data needs into target-state AI architectures — covering model lifecycle, agentic systems design, and cloud-native AI platforms.

·         Infrastructure and Capacity Planning: Design AI infra blueprints spanning data, compute, GPU/TPU capacity, observability, and security, ensuring optimal cost-performance balance and resilience.

·         Cross-Industry Engagement: Lead solutioning across key verticals such as financial services, manufacturing, retail, telecom, and public sector, tailoring architectures to industry-specific needs.

·         Governance and Compliance: Establish frameworks for responsible AI, model risk management, and regulatory compliance.

·         Thought Leadership: Represent the firm in client advisory councils, external forums, and conferences; publish thought leadership on enterprise AI architecture and innovation practices.

·         Team Mentorship: Guide solution architects and engineers in designing, deploying, and optimizing modern AI systems leveraging LLMs, multi-agent frameworks, and MLOps pipelines.

Required Skills and Experience

·         Proven experience as an Enterprise/Principal Architect or equivalent senior advisory role in AI, cloud, or digital transformation.

·         Mastery across multiple AI domains: generative AI, agentic systems, predictive analytics, and intelligent automation.

·         Strong understanding of AI infrastructure, including GPUs, model serving, orchestration, data pipelines, and observability tooling (e.g., Ray, Kubernetes, MLflow).

·         Hands-on knowledge of cloud platforms (AWS, Azure, GCP) and hybrid architectures for AI workload optimization.

·         Familiarity with enterprise governance, capacity planning, and FinOps considerations for large-scale AI deployments.

·         Excellent communication and storytelling skills to engage both executive and technical stakeholders.

·         Cross-industry perspective with consulting or advisory experience across at least three major verticals.

·         Advanced degree in Computer Science, AI/ML, or related field preferred; additional executive education in strategy or innovation is a plus

Minimum Qualifications:

• BS degree in Mechanical Engineering, Engineering Technology, or a special combination of education and experience with demonstrated accomplishments.
• 18+ years in technology/solutions architecture, with 3+ years in AI-led transformation roles
• Able to communicate in English.

In addition to compensation aligned with your role, you’ll have access to a wide range of benefits that support your health, career growth, and overall well-being (SNG)

• Paid leave entitlements
• Health and Life Enrichment (HALE) program covering various well-being offerings
• Life insurance cover
• Optional health insurance cover
• Employer Assistance Program (EAP)
• Rewards and Recognition

Our recruitment and selection process is designed to create the best match for both you and Infosys. Depending on the role, it may include an initial screening, technical or functional interviews, and conversations focused on cultural alignment and shared values. We are committed to making the experience transparent, respectful, and engaging at every step.

Job Summary:
Seeking an AI Architect to lead retail AI initiatives—bridging tech and operations to deploy predictive, generative, and ML solutions that enhance customer experience, optimize supply chains, and drive revenue.

Job Description:

Omni-Channel Customer Experience & Personalization

• Develop and scale AI-driven personalization engines for our Omni-Channel platform and mobile app.

• Oversee the implementation of conversational AI to improve customer service and post-purchase support.

• Optimize in-store layouts, track customer behaviours, and enhance the brick-and-mortar shopping experience.

• Act as a subject matter expert and responsible for designing the architecture of technical solutions, developing and implementing new features and changes/enhancements, providing technical support and issues resolution.

• Perform customisation with an in-depth understanding of code structure, extension architecture, theming hierarchy, fallback components and cache implementation including APIs customization and integration (REST/SOAP).

AI Systems Architecture

• Lead the design and execution of end-to-end platforms and services that support advanced analytics use cases and enterprise AI capabilities.

• Align AI solutions with overall technology architecture and long-term business strategy.

• Provide strategic insights into the evolving AI landscape, including generative AI, LLMs, and machine learning frameworks.

Leadership & Strategy

• Strategize, lead and direct all activities related to AI Management - Project Management, Solution delivery, Management and Control, Suppliers, Vendors, Contractors, Internal IT Workforce Management.

• Evaluate, negotiate with, and manage third-party AI vendors and SaaS platforms specializing in retail technology.

Partnership

• Work as a partner with all Internal/External stakeholders, Vendor management.

• Initiate, evaluate & prioritize projects and process improvements along with business stakeholders.

• Ensure all deliverables are focused on quality & maximum ROI.

• Translate technical concepts into actionable insights for both technical and non-technical stakeholders.

• Evaluate third-party technologies and manage vendor relationships to ensure solutions meet organizational standards and performance requirements.

Project & Risk Management

• Manage all projects and ensure the deliverables are ON TRACK and exceeds/meets stakeholder expectations.

• Ensure project management principles are strictly adhered in all areas including risk management, hands-on prototyping and proof-of-concept delivery for emerging technologies.

• Enable automation, intelligence, and efficiency across business systems including applied AI.

Governance and Security

• Ensure information security policies are implemented across all IT functions and strictly adhered.

• Conduct periodic assessment, identify gaps and ensure relevant resolution are in place.

• Ensure all AI initiatives comply with data privacy regulations regarding consumer data.

People & Resource Management

• Create a culture of performance and value in technology services.

• Establish sophisticated control mechanisms for optimum, efficient, rightful allocation & utilization of resources.

Change Management & Service Excellence

• Ensure solution delivered are properly tested and meet specifications and timeline from request to deployment.

Other Responsibilities

• Monitor the results and quality of the different software solutions and projects implemented in the organisation.

• Perform Contract and Procurement Management.

• Develop and review IT policy and implementation processes.

• Support Audit for compliance and development of risk management.

• Any ad-hoc tasks assigned.

Role Requirement:
A hands-on role with minimum 2 years of experience in similar position with broad functional expertise preferably in retail industry & technical expertise in AI/ML solution architecture and operations systems and all facets of IT management & technology trends not limited to:

• Plan & execute implementation of the agreed initiatives. This will require working with the team in terms of analyzing the requirements, studying the options available & working towards a standard solution, which meets the requirements in an effective & efficient manner.

• Negotiate between external vendors and suppliers to resolve often highly technical or contentious issues and conflicts to ensure that projects and work packages are delivered on time and within budget.

• Degree in Computer Science, Information Technology, Programming & System Analysis, Science (Computer Studies) or related discipline. Professional certification in Agile methodologies is a plus.

• Business Central, Tableau, Microsoft Fabric and Salesforce certification is an added advantage.

• Strong business understanding ability, strong technical learning and transfer ability, strong sense of responsibility, good communication and teamwork skills.

• Strong commercial acumen to tie AI metrics directly to retail KPIs (e.g. Conversion Rate.

• Excellent storytelling and communication skills to explain complex AI models.

• Minimum 2 years of experience leading technical/software engineering teams or managing complex tech projects.

• Minimum 2 years of hands-on experience developing AI/ML solutions, generative AI technologies and frameworks. with at least 2 years specifically within the retail, e-commerce, or FMCG sectors.

• Minimum 2 years of large-scale backend system development experience.

• Available to work period weekends and off-hours for on-site support requirements.

• Available for 24/7 call support.

Technical Skills:

• Profound knowledge in various scripting/programming languages, operating system & server administration, and mass system deployments including cloud platform and networking protocols.

• Proven experience designing and deploying machine learning systems with measurable business impact.

• Deep understanding of Machine Learning (ML), Deep Learning, NLP, and Computer Vision as applied to retail (e.g., image search, sentiment analysis).

• Experience with Generative AI applications in retail, such as automated product description generation, virtual try-ons, or personalized email copy.

• Proficiency in Python or R, and experience with cloud data platforms (AWS, Azure, or Google Cloud).

• Deep knowledge of supervised and unsupervised learning models, neural networks, and statistical modelling techniques.

• Proficient in SQL and database schema design; experience with both relational and non-relational databases.

• Experience with cloud platforms (Azure or GCP), distributed computing, container orchestration (Docker, Kubernetes), and ML Ops tools (ML flow, Kubeflow, Airflow).

• Familiarity with retail data structures, including POS (Point of Sale) data, ERP systems, and CRM systems.

Responsibilities

• Projects ranging from commercial, industrial, institutional, mixed-development, residential, healthcare, infrastructure, MRT etc
• Work on and actively contribute to the design and development of architectural projects with opportunity to carry through the project through various phases of the project cycle (from concept design, schematic design, design development, construction)
• Coordinate with consultants from various disciplines and clients/stakeholders, and find creative and workable solutions for the project together with the project team
• Be a part of a team for design competitions or design, design presentation packages, design development package and tendering
• Attend and participate in meetings, technical discussions and coordination with contractors/consultants
• Follow-up on project and construction activities as well as to carry out contract administration responsibilities

Requirements

• Architectural degree/masters recognised by Board of Architects Singapore
• Min 2-7 years post graduate professional experience
• Competency in BIM/Revit, Archicad, Autocad, Sketch-up, In-Design as well as basic rendering, graphics publishing software program

Interested and suitable candidate kindly click quick apply. Resume will be routed to Jasmine Chin Yan Min. We regret that only suitable candidate will be notified.

GEMS Recruit/EA License: 23C1459 (https://gemsrecruit.com/)

EA Personnel No: R1442379 (Jasmine Chin Yan Min)

Role Summary

We are seeking an experienced Elastic Platform Architect to lead the architecture, design, governance, and implementation of a next-generation enterprise observability and operational intelligence platform based on the Elastic ecosystem.

The successful candidate will be responsible for defining enterprise observability architecture, designing scalable Elastic platform solutions, establishing platform engineering standards, and driving the implementation of cloud-native monitoring capabilities across complex enterprise environments.

The role requires strong expertise in Elastic Stack technologies, Kubernetes-based platforms, GitOps deployment methodologies, Infrastructure-as-Code, DevSecOps practices, and enterprise integration architecture. The candidate will work closely with enterprise architects, cybersecurity teams, infrastructure teams, platform engineers, and business stakeholders to deliver highly resilient, secure, and scalable observability platforms supporting critical business operations.

Key Responsibilities

Enterprise Architecture & Platform Strategy

Define and maintain the target-state architecture roadmap for enterprise observability and monitoring platforms.

Develop architecture blueprints, reference architectures, design standards, and governance frameworks for Elastic-based platforms.

Lead architecture reviews, technical assurance activities, and solution governance processes.

Establish platform engineering standards covering scalability, availability, security, performance, and operational resilience.

Evaluate emerging observability technologies and recommend strategic platform enhancements.

Collaborate with enterprise architecture teams to align observability capabilities with broader technology transformation initiatives.

Elastic Platform Architecture & Design

Architect and govern enterprise deployments of:

Elasticsearch

Kibana

Logstash

Elastic Agent

Fleet Server

Elastic APM

Elastic Cloud on Kubernetes (ECK)

Design distributed Elastic platform architectures supporting large-scale telemetry ingestion and analytics workloads.

Establish platform standards for:

Index Management

Shard Allocation

Cluster Scaling

Data Retention

Performance Optimization

Disaster Recovery

Define and govern Index Lifecycle Management (ILM) and Snapshot Lifecycle Management (SLM) strategies.

Design platform resiliency and high-availability frameworks supporting enterprise-grade service levels.

Observability & Operational Intelligence

Design enterprise observability frameworks covering:

Infrastructure Monitoring

Application Performance Monitoring (APM)

Distributed Tracing

Centralized Logging

Security Event Monitoring

Service Health Monitoring

Operational Analytics

Establish telemetry collection and data normalization standards across multiple technology domains.

Define alerting, event correlation, escalation, and incident visibility frameworks.

Develop monitoring standards, service health models, and operational dashboards supporting business and technical stakeholders.

Define SLI, SLO, SLA, and reliability measurement frameworks.

Cloud-Native & Kubernetes Architecture

Design Kubernetes-native observability platforms leveraging Elastic Cloud on Kubernetes (ECK).

Define deployment architectures supporting:

Kubernetes

OpenShift

Hybrid Cloud

Air-Gapped Environments

Architect GitOps deployment frameworks utilizing:

FluxCD

GitLab

Helm

Establish platform lifecycle management standards covering upgrades, deployments, configuration management, and operational governance.

Design secure multi-cluster deployment architectures supporting enterprise scalability requirements.

Platform Integration Architecture

Define enterprise integration patterns for onboarding infrastructure, application, network, and security telemetry sources.

Architect integrations across:

Enterprise Applications

Cloud Platforms

Security Solutions

Network Infrastructure

Storage Platforms

Kubernetes Environments

Identity & Access Management Platforms

Design data ingestion and enrichment frameworks supporting operational analytics and observability use cases.

Lead integration of observability platforms with IT Service Management and operational workflow systems.

Security, Compliance & Governance

Define platform security architecture including:

RBAC

Authentication & Authorization

Encryption Standards

Certificate Management

Secrets Management

Audit Controls

Collaborate with cybersecurity teams to implement observability-driven security monitoring capabilities.

Ensure compliance with enterprise security policies, governance standards, and regulatory requirements.

Establish platform governance processes supporting change management, operational controls, and risk management.

Automation, DevSecOps & Platform Engineering

Define Infrastructure-as-Code standards utilizing:

Terraform

Ansible

Establish CI/CD and GitOps operating models supporting platform lifecycle automation.

Design automated deployment, testing, upgrade, rollback, and recovery processes.

Drive platform engineering best practices to improve operational efficiency and reliability.

Promote automation initiatives supporting scalability, consistency, and operational excellence.

Technical Leadership & Stakeholder Engagement

Provide technical leadership and architectural guidance to engineering and operations teams.

Facilitate architecture workshops, technical reviews, and stakeholder engagement sessions.

Mentor platform engineers and observability specialists on architecture standards and best practices.

Develop architecture documentation, technical standards, solution blueprints, operational procedures, and implementation guidelines.

Support strategic planning, technology assessments, and platform modernization initiatives.

Required Qualifications & Experience

Technical Expertise

Extensive experience designing and implementing enterprise observability platforms.

Strong hands-on expertise in:

Elasticsearch

Kibana

Logstash

Elastic Agent

Fleet Management

Elastic APM

Elastic Cloud on Kubernetes (ECK)

Strong understanding of distributed systems, large-scale data platforms, and enterprise monitoring architectures.

Cloud & Platform Technologies

Kubernetes

OpenShift

Docker

AWS

Azure

Hybrid Cloud Environments

Automation & Platform Engineering

Strong experience with:

Terraform

Ansible

GitOps

GitLab

FluxCD

Helm

CI/CD Pipelines

Observability & Operations

Experience designing:

Monitoring Frameworks

Logging Architectures

Tracing Solutions

Alerting Frameworks

Event Correlation Models

Operational Intelligence Platforms

Enterprise Integration

Experience integrating observability platforms with:

ServiceNow

Enterprise Security Platforms

Identity Management Solutions

Network and Infrastructure Technologies

Preferred Qualifications

Elastic Certified Observability Engineer

Certified Kubernetes Administrator (CKA)

HashiCorp Terraform Associate

Red Hat OpenShift Certification

GitLab Professional Certifications

AWS and/or Azure Certifications

Experience delivering observability platforms within government agencies, financial institutions, telecommunications organizations, or large enterprise environments.

Experience with AIOps, OpenTelemetry, Service Intelligence, and advanced analytics platforms.

Employment Type

Contract Position (6 Months)

Renewable subject to project requirements, performance, and business needs.

We are seeking a dynamic, consultative **Cloud Architect** to join our team. This role is tailored for an experienced professional who is deeply familiar with the core cloud infrastructure, networking, security, and observability concepts required by large enterprise customers.

In this role, you will bridge the gap between high-level enterprise business strategy and technical execution. You will work closely with enterprise clients to uncover their specific structural or operational pain points, design purpose-fit, well-architected multi-cloud environments across **AWS** and **Google Cloud Platform (GCP)**, and maintain end-to-end technical accountability for the successful outcome of the delivery.

1. Enterprise Networking & Security Architecture

Complex Cloud Networking: Design resilient, enterprise-grade network topologies involving complex routing, Hub-and-Spoke models, VPCs, Shared VPCs, Transit Gateways, AWS Direct Connect, and Google Cloud Interconnect.

Enterprise Security Concepts: Architect robust Identity and Access Management (IAM) strategies, encryption models (KMS/Cloud KMS), and perimeter security controls (WAF, Enterprise Firewalls, DDoS mitigation) tailored for large-scale multi-tenant environments.

SecOps & Compliance Integration: Define the patterns for automated security guardrails, secure landing zone baselines, and continuous compliance scanning within enterprise delivery pipelines.

2. Core Infrastructure & Observability Governance

Well-Architected Framework Alignment: Serve as the custodian of cloud architectural integrity, ensuring all custom designs strictly map back to the AWS Well-Architected Framework and GCP Architecture Framework pillars (with a strong focus on Operational Excellence and Security).

Centralized Logging & Monitoring Architecture: Design enterprise-wide observability strategies. Define patterns for multi-account centralized logging, audit trails, real-time alerting, and telemetry aggregation required for operational visibility and compliance.

IaC Governance: Define the standards and architectural structures for Infrastructure as Code (IaC). Review configurations to ensure modular, secure, and compliant environments across client workloads.

3. Consulting, Discovery & Delivery Accountability

Pain Point Identification: Engage directly with enterprise stakeholders and technical teams to diagnose existing infrastructure bottlenecks, operational inefficiencies, visibility gaps, and architectural pain points.

Purpose-Fit Solution Design: Translate identified client challenges and strict technical/regulatory requirements into tailored, purpose-fit technical blueprints that solve specific business issues.

Delivery Accountability: Act as the technical lead and owner for assigned client engagements, maintaining full accountability for the successful execution and technical outcome of the final delivery.

Qualifications

Experience:

• 6 to 8 years of experience in cloud architecture, enterprise network engineering, or cloud infrastructure design.
• At least 2 years of active experience in a professional services or IT consulting environment.

Highly Regulated Environments (Plus):

• Strong track record of navigating architecture requirements for regulated industries (e.g., Public Sector, Financial Services) and compliance frameworks like IM8, SOC2, or ISO27001.
• Government Commercial Cloud / GCC (Plus):Experience engineering within the Government Commercial Cloud (GCC / GCC 2.0) framework or equivalent public-sector cloud architectures.

Technical Skills & Best Practices

• Observability & Logging Mastery: Deep understanding of distributed monitoring, logging, and tracing concepts. Strong familiarity with native cloud services including AWS CloudWatch, AWS CloudTrail, Google Cloud Monitoring, and Google Cloud Logging.
• Enterprise Network & Security Familiarity: Deep familiarity with enterprise cloud connectivity, BGP, DNS routing, load balancing topologies, Service Meshes, and multi-tenant isolation techniques.
• Automation & CI/CD Guardrails (Preferred):Strong understanding of best practices surrounding Terraform (or OpenTofu) and GitHub Workflows (GitHub Actions). Ability to define architectural standards, review configurations, design workflow gates, and guide engineering teams on implementation.
• Code & Scripting Comprehension: Ability to read, interpret, and evaluate script logic (Python, Bash, or Go) to ensure automated deployment architectures align with operational blueprints.

Desirable Tooling & Domain Pluses (Good-to-Have)

• Enterprise Security & Proxy Tooling: Familiarity with integrating or architecting alongside third-party enterprise security solutions such as Palo Alto NGFW, Forcepoint, or Zscaler web proxies is a major plus.

Third-Party Observability:

• Familiarity with enterprise-grade monitoring and SIEM platforms like Datadog and Splunk is highly valued.

Enterprise Data Architecture & Governance

• Strong conceptual understanding of modern data topologies (Data Lakes, Lakehouses, Data Mesh). Familiarity with cloud-native data governance, cataloging, and access control tools (e.g., AWS Lake Formation, GCP Dataplex, AWS Glue, Google Cloud Data Catalog).

Platform Engineering Concepts

• Conceptual knowledge of platform engineering practices, including Internal Developer Platforms (IDPs), defining "Golden Paths," or exposure to tools/methodologies like Backstage, GitOps, or Crossplane.
• Emerging Workloads: General exposure to high-level architectural requirements for hosting modern workloads, such as scalable infrastructure concepts for AI/ML pipelines.

Certifications

• AWS: Certified Solutions Architect – Professional (Must Have)
• AWS Certified Advanced Networking – Specialty (Must Have)
• AWS Certified Security – Specialty (Must Have)
• GCP Professional Cloud Architect
• GCP Professional Cloud Network Engineer, or Professional Cloud Security Engineer.

Soft Skills

• Consultative Mindset: Strong empathy and active listening skills required to successfully draw out pain points and align technical solutions with client business goals.
• Ownership & Accountability: A driven, results-oriented attitude with a track record of driving complex technical projects over the finish line.
• Communication: Excellent verbal and written communication skills with the ability to articulate complex networking, security, and architectural concepts to both technical teams and executive stakeholders.

Role Overview

We are seeking a hands-on AI Solutions Architect & Delivery Lead to drive the design, development, and delivery of AI solutions across enterprise environments.

This role combines practical, build-and-deliver execution with solution architecture and technical leadership. The successful candidate will play a key role in delivering AI use cases, guiding a growing AI engineering team, and supporting client engagements, while contributing to the evolution of our AI and software capabilities.

Key Responsibilities

1. AI Solution Delivery (Primary Focus)

• Lead end-to-end delivery of AI solutions, from proof-of-concept (POC) to production deployment

• Work hands-on with platforms and related AI technologies

• Translate business use cases into practical, implementable AI solutions

• Ensure delivery quality, scalability, and operational readiness

2. Solution Architecture

• Design AI solutions integrated with enterprise systems (e.g. OSS/BSS, system integrations)

• Evaluate architectural trade-offs and propose scalable, maintainable designs

• Contribute to the solution strategy and technical direction for AI initiatives

3. Technical Leadership & Team Development

• Lead, coach, and guide the AI team, particularly junior engineers

• Establish and reinforce best practices (e.g. CI/CD, code quality, delivery discipline)

• Provide hands-on mentorship while maintaining active involvement in delivery work

4. Presales & Client Engagement

• Support presales activities, including:

  • Technical proposals

  • Solution design discussions

  • Demos and POCs

• Work closely with stakeholders to shape solutions aligned to client needs

5. Collaboration with Software Team (Future Scope)

• Collaborate with the software development team on integrated initiatives

• Contribute towards the long-term convergence of AI and Software capabilities

• Potential to oversee broader AI + Software team responsibilities as the role evolves

Qualifications & Experience

• Bachelor’s degree in Computer Science, Engineering, or related field

• Proven experience in:

  • Hands-on AI/ML solution development and deployment

  • System architecture and enterprise solution design

• Strong programming and engineering capabilities (e.g. Python, APIs, system integration)

• Experience working with AI platforms, data pipelines, or enterprise systems

• Demonstrated ability to balance hands-on delivery with technical leadership responsibilities

Key Attributes

• Execution-driven – able to deliver working solutions, not just concepts

• Hands-on leader – actively builds while leading the team

• Pragmatic architect – balances ideal design with real-world constraints

• Collaborative and adaptable – comfortable working in a fast-evolving AI environment

Role Positioning

• This is a hands-on leadership role, not a purely managerial position

• Immediate focus is on AI delivery and team capability building

• The role is designed to grow into broader responsibilities, including potential oversight of combined AI and Software functions

Why Join Us

• Opportunity to shape AI capabilities in a growing team

• Work on real-world AI applications across enterprise environments

• Play a key role in building the future AI + Software function in IP-Tribe

• Play a strategic role in building and scaling a high-impact partner ecosystem
• Work closely with partner CTOs and technical leaders to co-create GTM solutions

About Our Client

Our client is a global cloud and AI platform provider with a strong focus on building a scalable partner ecosystem. With rapid growth across Asia and international markets, the organisation works closely with system integrators, ISVs, and managed service providers to deliver innovative, enterprise-grade solutions. Employees benefit from a collaborative, high-growth environment focused on driving joint success with partners and advancing cloud and AI adoption.

Job Description

• Co-create cloud & AI solutions with partners
• Enable partners through training and architecture guidance
• Support POCs, deployments, and partner-led deals
• Build reusable solution frameworks
• Drive joint GTM and technical success

The Successful Applicant

• At least 5 years in solutions architecture / partner pre-sales
• Experience with cloud ecosystems (SI, ISV, MSP)
• Strong cloud architecture knowledge
• Experience enabling partner technical teams
• Good stakeholder and communication skills

What's on Offer

• High-impact partner-facing role
• Regional exposure across ASEAN
• Competitive salary + growth opportunities
• Learning & certification support

Michael Page International Pte Ltd | Registration No. 199804751N 

We're looking for a senior leader to run our APJ solutions architecture team supporting AWS Partner Programs. You'll lead a team of experienced builders who work directly with our APN Programs team to design and operationalize our flagship Partner programs.

You'll inherit an established, high-performing team spread across APJ. The primary focus is building scalable, programmatic mechanisms that impact the broader Partner community across the region. The work spans flagship APN programs like MAP, AWS Specializations, and AWS Marketplace. Your team will engage 1:1 with strategic partners and handle escalations, but the real measure of success is the 1:many approaches that lift the entire Partner community.

A big part of this role is figuring out how to scale. Your team is responsible for developing agentic approaches to scale our programs and technical enablement for partners. You'll push the boundaries on how we use automation and AI to multiply our impact without multiplying headcount.

Key job responsibilities

• Lead a team of solutions architects focused on partner technical excellence across APJ
• Own the technical strategy and execution for AWS Partner Program initiatives in the region
• Design and build programmatic mechanisms that drive technical enablement and AWS adoption at scale across the partner base
• Drive partner adoption of AWS services and programs, with goals tied to overall AWS Partner Program performance
• Collaborate with your global counterparts in NAMER and EMEA to share learnings and align initiatives
• Work with the APN Program team to shape existing programs and contribute to the design of new ones
• Interface with AWS Marketplace and Partner Services teams to connect the dots across the APN landscape.
• Build a culture of innovation where your team is constantly experimenting with new ways to help partners succeed

A day in the life

You'll split your time between leading your team across APJ time zones, designing agentic workflows that scale partner enablement, and collaborating with the APN Program team to shape how flagship programs evolve. You'll sync regularly with global counterparts in NAMER and EMEA to share what's working. Most of your energy goes toward building systems that compound, though you'll occasionally engage directly with strategic partners on complex escalations. Your key stakeholders are the APN Programs team, AWS Marketplace, Partner Services, and SA leadership across APJ.

Basic qualifications

• 5+ years of management of technical, enterprise customer facing resources or equivalent experience
• 5+ years of infrastructure architecture, database architecture and networking experience
• Bachelor's degree
• Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc.

Preferred qualifications

• Experience architecting, migrating, transforming or modernizing customer requirements to the cloud

We are working with a leading financial firm seeking a hands-on Cybersecurity Architect to design and deliver security controls across cloud, infrastructure, endpoint, identity, and security operations.

This role requires both architecture ownership and hands-on delivery involvement, with a strong focus on Cloud Security.

Responsibilities

• Design and maintain security architecture across on-premises and Azure cloud environments
• Build practical, right-sized security controls for a lean hedge fund environment
• Architect Azure security, secure landing zones, ingress/egress controls, identity security, PAM, and secrets management
• Improve endpoint security baselines, vulnerability management, patching, and software risk remediation
• Lead technical delivery across SIEM/SOC integrations, DLP, network segmentation, EDR/XDR, and vulnerability management
• Work with infrastructure, cloud, application, and project teams to embed security by design
• Produce technical documentation, engineering standards, and deployment playbooks
• Provide senior technical escalation for security incidents and outsourced SOC/SIEM partners
• Conduct threat modelling for new applications, platforms, and infrastructure changes
• Translate audit, cyber risk, and regulatory requirements into engineering solutions

Requirements

• 8–12 years’ experience in cybersecurity engineering, security architecture, cloud security, or security infrastructure
• Strong hands-on experience with Microsoft Defender for Endpoint, Microsoft 365 Defender / E5 Security, Entra ID, identity protection, and Azure security controls
• Strong Azure security architecture and engineering experience
• Experience across SIEM/SOC, EDR/XDR, DLP, vulnerability management, network segmentation, endpoint security, and patch/software deployment
• Proven ability to design and deliver security controls across hybrid cloud environments
• Financial services experience preferred; hedge fund or asset management experience advantageous
• Comfortable working in a lean environment requiring both architecture ownership and hands-on delivery
• Familiarity with MAS TRM, NIST CSF 2.0, or similar security frameworks

With well over a decade of a solid and enviable track record behind us, headquartered in Hong Kong, Pinpoint Asia Infotech Pte Ltd (EA License: 16C8291) is the go-to IT Search Firm for several top Investment Banks and Financial Institutions.

If you are interested in the above position, please send your CV to Charlie Kim @ resume.sg@pinpointasia.com (EA Registration number: Reg No: R23112483) and include the Cybersecurity Architect - Leading Financial Firm - J12931 in the subject title.

Responsibilities:

• The projects that we are involved in covers a very broad spectrum including commercial, industrial, institutional, mixed-development, residential, healthcare, infrastructure etc.
• Project Management, coordinate and assist in the day to day running of projects assigned.
• Liaise and coordinate with Clients, Consultants and Contractors.
• Ensure compliance with local building codes and regulations.
• Confidently administer the contract and effectively manage the project team.
• Coordinate and carry out tender, evaluation, recommendation and award processes.
• Proactively identify and resolve technical coordination, site or compliance issues.
• Keep updated on contractual and authorities' requirements.

Requirements:

• Degree in Architectural from recognized tertiary institution under BOA Singapore
• Minimum 8 years post graduate experience
• Familiar with BIM and Authorities submission process and guidelines
• Proficient in Autocad, Revit, Sketchup

Interested and suitable candidate kindly click quick apply. Resume will be routed to Jasmine Chin Yan Min. We regret that only suitable candidate will be notified.

GEMS Recruit/EA License: 23C1459

EA Personnel No: R1442379 (Jasmine Chin Yan Min)

About the Role

Our client is seeking a hands-on AI Solutions Architect & Delivery Lead to drive the design, development, and deployment of AI solutions across enterprise environments.

This role combines hands-on AI delivery, solution architecture, technical leadership, and stakeholder engagement. You will lead AI initiatives from proof-of-concept (POC) to production, mentor a growing AI team, and support client engagements.

This is a hands-on leadership role and not a purely managerial position.

Key Responsibilities

• Lead end-to-end delivery of AI solutions from POC to production deployment
• Translate business requirements into scalable and practical AI solutions
• Design AI solutions integrated with enterprise systems
• Establish engineering best practices and mentor junior AI engineers
• Support presales activities, including technical proposals, solution discussions, demos, and POCs
• Collaborate with stakeholders and software teams on integrated initiatives

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field
• Proven experience in AI/ML solution development and deployment
• Experience in enterprise solution architecture and system design
• Strong programming skills (e.g. Python, APIs, and system integration)
• Experience with AI platforms, data pipelines, or enterprise systems
• Strong communication, stakeholder management, and leadership skills

Career Growth

This role offers opportunities to shape AI capabilities and grow into broader AI and software leadership responsibilities.

Interested applicants, please send your latest resume to jinkai@talentsatwork.sg or WhatsApp me at 98811690.

Talents@Work Pte Ltd (21C0501)

Tan Jin Kai (R23115830)

Asthe AI Agent Architect / Senior Developer, you will be the core brain behindour flagship enterprise AI platforms. You will transition our systems frombasic LLM wrappers into autonomous, reasoning-capable AI ecosystems.

Yourprimary mission is to design and develop advanced Agentic workflows, buildrobust Knowledge Bases utilizing GraphRAG, and engineer complex multi-modaldata processing pipelines. You will ensure our AI solutions deliverexpert-level accuracy, deep contextual understanding, and enterprise-gradesecurity.

KeyResponsibilities

·      AdvancedRAG & Knowledge Base Engineering: Design and implement next-generation RAGsystems using Knowledge Graphs (GraphRAG), vector databases, and semanticsearch. Develop robust OCR pipelines for parsing complex, unstructureddocuments (e.g., contracts, compliance manuals) and multi-modal dataextraction.

·      AIAgent Architecture: Architect and deploy multi-agent systems (using frameworkslike LangChain, LlamaIndex, or AutoGen) where distinct AI agents can plan,reason, execute tools, and collaborate to solve complex enterprise tasks.

·      LLMIntegration & Optimization: Evaluate, fine-tune, and deploy various LargeLanguage Models (both closed-source like OpenAI/Anthropic and open-sourcemodels). Optimize prompts and reasoning chains to maximize accuracy andminimize latency.

·      Backend& Enterprise Integration: Build scalable backend services (primarily inPython, with Java/Spring Boot for legacy or enterprise integrations) to exposeAI capabilities via robust APIs.

·      Guardrails& Hallucination Mitigation: Implement strict logical guardrails, continuousevaluation frameworks, and "anti-hallucination" mechanisms to ensureall AI outputs are verifiable, strictly grounded in the proprietary knowledgebase, and compliant with enterprise security standards.

·      Performany ad-hoc duties assignedby the Company as required.

RequiredQualifications

·      Experience:3-5+ years in software engineering, with at least 1.5 - 2 years heavily focusedon LLM applications, generative AI, or complex NLP systems.

·      AI& Agent Frameworks: Deep hands-on experience with LangChain, LlamaIndex, orsimilar multi-agent orchestration frameworks.

·      DataParsing & Knowledge Representation: Proven expertise in OCR technologies(e.g., unstructured.io, PaddleOCR) for complex PDF parsing, and strongexperience with Vector Databases (e.g., Milvus, Qdrant, Pinecone) and GraphDatabases (e.g., Neo4j).

·      ProgrammingMastery: Expert-level proficiency in Python (the primary language for the AIstack). Familiarity with Java/Spring Boot is highly preferred to ensureseamless integration with our existing backend ecosystem.

·      LanguageProficiency: Professional fluency in English and Mandarin is mandatory toeffectively collaborate with our diverse technical stakeholders and regionalenterprise clients.

·      ProblemSolving: Strong architectural vision with the ability to translate complexbusiness compliance and expert knowledge into structured AI engineeringpipelines.

The"Alpha" Edge (Preferred & Bonus Qualifications)

·      DomainContext: Previous experience building AI products for Legal, HR, Compliance, orenterprise SaaS。

·      ModelDeployment: Experience with local LLM deployment and inference optimization(e.g., Ollama, vLLM, TensorRT-LLM).

·      MLOps:Familiarity with deploying AI pipelines on cloud infrastructure (AWS/GCP) usingDocker and Kubernetes.