Total 3 job vacancies by Onebyzero Pte. Ltd.

About OnebyZero

OnebyZero is a next-generation Data and AI consulting company, headquartered in Singapore and driving impact across APAC. As an AWS-exclusive partner, we help enterprises modernize data, transform with AI, and apply Generative AI in ways that deliver real business results.

Our vision is simple while at the same time ambitious: to make AI adoption both impactful and human-centered. We collaborate with leading enterprises in banking, telecommunications, retail, and other industries to help them unlock tangible value from their data and AI initiatives. By combining deep industry expertise, trusted partnerships, and a relentless focus on outcomes, OnebyZero empowers organizations to go beyond pilots and achieve lasting, scaled impact

About the Role

We are seeking an experienced and highly skilled Senior DevOps Engineer to lead and enhance our cloud infrastructure and deployment processes. In this role, you will work with cross-functional teams to design, implement, and maintain robust, scalable, and secure infrastructure, primarily on AWS. You will be a key player in automating processes and ensuring smooth operations across development and production environments, while mentoring junior engineers. 

What You'll Do & The Impact You'll Have

• Architect, design, and implement scalable infrastructure solutions on AWS using best practices. 
  

• Lead the automation of infrastructure provisioning using Infrastructure as Code (IaC) tools like Terraform, AWS CDK, or CloudFormation. 
  

• Build and manage CI/CD pipelines for continuous integration and continuous delivery using tools like Jenkins, GitLab CI, or AWS CodePipeline. 
  

• Monitor, troubleshoot, and optimize performance and reliability of cloud-based environments. 
  

• Implement security best practices and ensure that cloud environments are compliant with internal and external standards. 
  

• Automate repetitive tasks and processes with scripting in Python, Bash, or other tools. 
  

• Manage and optimize resource utilization and cost in AWS environments. 
  

• Oversee the administration and management of Linux environments in production and development. 
  

• Mentor junior team members and provide guidance on DevOps best practices. 
  

• Collaborate with development and operations teams to streamline workflows and improve productivity. 
  
  

Requirements

What You'll Bring to the Table

Must-Have Skills:

• 5+ years of hands-on experience in a DevOps Engineer role, or similar positions. 
  

• Extensive experience with AWS services (EC2, S3, VPC, Lambda, RDS, etc.) 
  

• Strong proficiency in Infrastructure as Code (IaC) using Terraform, AWS CDK, or CloudFormation. 
  

• Demonstrated expertise in building, managing, and automating CI/CD pipelines (e.g., GitHub Actions, Jenkins). 
  

• Advanced scripting skills in Python and Bash for automation and tool development. 
  

• Expertise in Linux system administration (Ubuntu, CentOS, etc.). 
  

• Deep understanding of networking, security practices, and monitoring in cloud environments. 
  

• Experience with containerization and orchestration tools such as Docker and Kubernetes. 
  

• Cloud Platforms: Advanced AWS Cloud expertise (EC2, VPC, S3, Lambda, RDS, CloudFront, etc.) 
  

• IaC Tools: Terraform, AWS CDK, CloudFormation 
  

• CI/CD Tools: GitHub Actions, Jenkins 
  

• Scripting Languages: Python, Bash 
  

• Containerization: Docker, Kubernetes 
  

• Operating Systems: Linux (Ubuntu, CentOS, etc.) 
  

• Version Control: Git, GitHub, GitLab 
  

• Monitoring & Logging: CloudWatch, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana) 
  

• Security: AWS Identity and Access Management (IAM), security groups, VPC, and encryption best practices 
  

Nice-to-Have Skills:

• AWS Certifications (Solutions Architect, Developer, SysOps Administrator, DevOps Engineer). 
  

• Experience with serverless technologies such as AWS Lambda and API Gateway. 
  

• Expertise with configuration management tools 
  

• Strong understanding of microservices architecture and container orchestration with Kubernetes. 
  

• Experience with cost optimization in cloud environments. 
  

• Familiarity with Agile methodologies and DevOps principles. 
  

• Excellent communication and collaboration skills, with experience working in cross-functional teams. 
  

• Ability to lead and mentor junior DevOps engineers and collaborate effectively with stakeholders. 
  

Benefits

What We Bring to the Table

• Impact-First Culture: Your work directly contributes to real-world AI solutions and business outcomes.
  
• Professional Growth: Continuous learning opportunities, mentorship from industry leaders, and a clear path for career development.
  
• Competitive Compensation: Market-leading salary, benefits, and incentives.
  
• Dynamic Team Environment: Collaborate with a high-performing team that values curiosity, integrity, and ownership.
  
• Global Exposure: Opportunities for international travel.
  

OnebyZero is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About OneByZero

OneByZero is a Frontier Systems Integrator building agentic AI systems for leading banks, telcos, insurers, and retailers across Asia Pacific. We work on mission-critical problems for organizations operating the region's financial and digital infrastructure. Operating exclusively on AWS, we combine deep technical expertise with strong partnership programs that enable innovation, scale, and delivery excellence. We build with people who are technically serious, outcome-focused, and passionate about solving complex enterprise challenges.

The Role

The Forward Deployed Architect (Agentic AI) serves as the technical authority for client engagements involving agentic AI systems. Embedded within client environments, you will own the architecture and delivery of enterprise-scale AI solutions from concept through production deployment.

You will design and govern multi-agent systems operating in highly regulated industries, ensuring reliability, security, auditability, and business value. This includes determining orchestration approaches, tool integrations, human oversight mechanisms, evaluation frameworks, monitoring strategies, and production governance.

You will work across AWS Bedrock, Agent Core, frontier AI models, orchestration frameworks, and evaluation tooling while helping clients navigate the rapidly evolving AI landscape and make informed architectural decisions.

This is a hands-on role requiring architectural leadership, technical design, prototyping, code reviews, and direct engagement with executive stakeholders.

Key Responsibilities

Agentic AI Architecture

• Design and own enterprise-scale agentic AI architectures.
  
• Develop multi-agent orchestration patterns, tool integrations, memory management, retrieval systems, evaluation frameworks, guardrails, and observability.
  
• Ensure architectural decisions align with business objectives and governance requirements.
  

Human-in-the-Loop Design

• Design workflows that combine AI autonomy with appropriate human oversight.
  
• Determine review and approval checkpoints.
  
• Ensure agent outputs are transparent and explainable for business users and compliance teams.
  

Frontier AI Technology Leadership

• Advise clients on AWS Bedrock, Agent Core, foundation models, orchestration frameworks, and deployment strategies.
  
• Evaluate technology trade-offs and recommend solutions aligned to enterprise constraints and objectives.
  

Enterprise Integration

• Architect solutions that integrate with legacy systems, APIs, enterprise platforms, security controls, and existing workflows.
  
• Design around real-world constraints including data quality, access limitations, and infrastructure requirements.
  

Reliability & Evaluation

• Define measurable success criteria before development begins.
  
• Build evaluation frameworks using realistic business scenarios.
  
• Establish monitoring, drift detection, failure management, and production support strategies.
  

Engineering Leadership

• Review technical designs and implementation approaches.
  
• Identify architectural risks, security concerns, and quality issues.
  
• Mentor engineering teams and establish delivery standards.
  

Client Engagement & Pre-Sales

• Lead technical workshops with CTOs, CDOs, CIOs, and Risk leaders.
  
• Translate business goals into practical AI solutions.
  
• Support solution scoping and statement-of-work development.
  

Reusable Intellectual Property

• Create reference architectures, governance frameworks, evaluation methodologies, and design patterns.
  
• Contribute assets that can be leveraged across future engagements.
  

Requirements

Required Qualifications

Experience

• 8+ years of experience in software engineering, AI/ML systems, cloud architecture, or related fields.
  
• Minimum 3 years building and deploying production AI or agentic systems.
  
• Demonstrated experience delivering enterprise-grade technology solutions.
  

AWS Expertise (Mandatory)

Hands-on experience with:

• AWS Bedrock
  
• Agent Core
  
• SageMaker
  
• Lambda
  
• API Gateway
  
• Enterprise security services
  
• Monitoring and observability services
  

Agentic AI Expertise

• Experience designing and deploying multi-agent systems in production.
  
• Strong understanding of:
  
• Agent orchestration frameworks
  
• RAG architectures
  
• MCP and tool design
  
• Prompt engineering
  
• Evaluation frameworks
  
• Agent reliability and failure modes
  
• Production monitoring
  

Enterprise Architecture

• Experience integrating AI systems with enterprise applications.
  
• Knowledge of API design, event-driven architectures, security boundaries, and access controls.
  
• Understanding of data governance and enterprise platform constraints.
  

Regulated Industry Experience

• Experience working within Banking, Financial Services, Insurance (BFSI), or Telecommunications environments.
  
• Understanding of AI governance, compliance, risk management, and auditability requirements.
  

Security & DevSecOps

• Knowledge of prompt injection risks.
  
• Experience securing tool-enabled agents.
  
• Understanding of data leakage prevention and enterprise security controls.
  

Executive Communication

• Ability to communicate complex AI concepts to senior stakeholders.
  
• Comfortable engaging with executive leadership and risk teams.
  
• Strong written and verbal communication skills.
  

Preferred Certifications

Required

• AWS Certified Solutions Architect – Professional
  
• AWS Certified Machine Learning Specialty or ML Engineer Associate
  

Strongly Preferred

• AWS Certified Generative AI Developer
  
• AWS Certified Security Specialty

About OnebyZero OnebyZero is a next-generation Data and AI consulting company, headquartered in Singapore and driving impact across APAC. As an AWS-exclusive partner, we help enterprises modernize data, transform with AI, and apply Generative AI in ways that deliver real business results. 

Our vision is simple while at the same time ambitious: to make AI adoption both impactful and human-centered. We collaborate with leading enterprises in banking, telecommunications, retail, and other industries to help them unlock tangible value from their data and AI initiatives. By combining deep industry expertise, trusted partnerships, and a relentless focus on outcomes, OnebyZero empowers organizations to go beyond pilots and achieve lasting, scaled impact. 

About the Role We are seeking a GenAI Engineer with 3–6 years of experience to design and build production-grade AI systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures. This role requires strong engineering depth combined with applied AI expertise to deliver scalable, reliable, and efficient AI-powered applications. 

What You'll Do & The Impact You'll Have 

• Design and build production-grade AI features leveraging LLMs, RAG pipelines, and agent-based systems. 
• Implement end-to-end RAG pipelines including retrieval strategies, embeddings, vector search optimization, context orchestration, guardrails, and fallback mechanisms. 
• Orchestrate agent workflows using frameworks such as LangGraph, LangChain, or similar, ensuring clear state management and safe multi-step reasoning. 
• Develop and deploy cloud-native microservices and APIs (REST/gRPC) to serve AI applications at scale. 
• Build and optimize event-driven architectures for real-time AI system interactions. 

• Work with graph databases (e.g., Neo4j, Amazon Neptune) to model and query complex relationships. 
• Fine-tune models and optimize performance for domain-specific use cases. 
• Ensure production reliability including latency optimization, throughput scaling, token efficiency, and cost control. 
• Implement observability, monitoring, and logging for AI systems, including prompt/model versioning and rollback strategies. 
• Collaborate with cross-functional teams including data scientists, engineers, and product stakeholders to deliver impactful AI solutions. 

What You'll Bring to the Table 

Must-Have Skills: 

• Experience: 3–6 years in AI/ML engineering, software engineering, or applied AI roles. 
• Hands-on experience building production-grade applications using LLMs, RAG, and agent-based systems. 
• Strong programming skills in Python, with exposure to Node.js, Java, or Go. 
• Experience designing cloud-native architectures including microservices, REST/gRPC APIs, and event-driven systems. 
• Solid understanding of embeddings, vector databases, and retrieval strategies. 
• Experience with agent orchestration frameworks (e.g., LangChain, LangGraph) or similar. 
• Exposure to model fine-tuning and performance optimization techniques. 
• Experience working with graph databases such as Neo4j or Amazon Neptune. 
• Strong understanding of system performance, scalability, and cost optimization in AI systems. 
• Experience implementing observability, monitoring, and debugging for production systems. 
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. 

Nice-to-Have Skills: 

• Experience with cloud platforms (AWS, GCP, or Azure) for deploying AI systems. 
• Familiarity with containerization and orchestration (Docker, Kubernetes). 
• Exposure to prompt engineering techniques and evaluation frameworks. 
• Experience working in consulting or client-facing environments. 
• Computer Vision skills

What We Bring to the Table 

• Impact-First Culture: Your work directly contributes to real-world AI solutions and business outcomes. 
• Professional Growth: Continuous learning opportunities, mentorship from industry leaders, and a clear path for career development. 
• Competitive Compensation: Market-leading salary, benefits, and incentives. 
• Dynamic Team Environment: Collaborate with a high-performing team that values curiosity, integrity, and ownership. 
• Global Exposure: Opportunities for international travel. 

OnebyZero is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.