Total 27 job vacancies by Version 1

Role Overview

As an AI Engineer focused on Generative and Agentic AI, you will design, build, deploy, and operate production-ready AI systems, taking ideas from early prototypes through to reliable, enterprise-grade solutions. You will work hands-on with real customer and internal use cases, owning the full lifecycle from design and orchestration to deployment, monitoring, and continuous improvement.

The role emphasizes building intelligent systems that can reason, plan, use tools, and make decisions, rather than standalone models or simple chatbots. You will apply modern Generative AI techniques and strong software engineering practices to deliver real-world AI outcomes on a scale.

Key Responsibilities

• Experience needed 5-7 years
• Generative & Agentic AI Development
• · Design and build LLM-based systems using:
• o Retrieval Augmented Generation (RAG)
• o Embeddings and vector search
• o Prompt engineering and prompt optimization
• o Function calling and tool usage
• o Agentic and multi-agent workflows
• · Develop AI systems that integrate LLMs with REST APIs, enterprise systems, data platforms, and workflows
• · Apply LLM evaluation techniques to assess quality, reliability, safety, and performance
• End-to-End AI Engineering
• · Own the full lifecycle of AI solutions—from prototype to production
• · Build, deploy, and operate AI workloads in AWS environments
• · Ensure production readiness with focus on scalability, reliability, performance, security, and cost optimization
• · Implement CI/CD pipelines, automated testing, and versioning for AI systems
• Engineering Excellence & Operations
• · Apply strong software engineering and distributed systems principles to AI development
• · Implement observability practices including logs, metrics, traces, and alerts
• · Monitor model behavior, system health, latency, and failures in production
• · Contribute to responsible AI practices, governance, and quality standards
• Collaboration & Enablement
• · Work closely with other AI engineers, data scientists, platform teams, and business stakeholders
• · Contribute to building and scaling AI platforms and reusable components
• · Support low-code / Copilot / Flow-style solutions where appropriate
• · Share knowledge and mentor junior engineers on Generative and Agentic AI best practices

The Role

We are looking for a Senior Data Engineer to join Version 1’s Data & AI Practice, working on modern data platforms for enterprise and regulated clients. You will be a hands‑on engineer with strong production experience, contributing to the design, build, and operation of scalable, cloud‑native data solutions that enable analytics and AI at scale.

This is a delivery‑focused role for an experienced engineer who enjoys solving complex data challenges, takes ownership of outcomes, and applies strong engineering discipline in real‑world environments.

What You’ll Be Doing

• · Designing, building, and operating reliable data pipelines using modern ETL/ELT approaches
• · Engineering cloud‑native data platforms, primarily on AWS (with Azure exposure where required)
• · Working with technologies such as Databricks, PostgreSQL, Aurora, and distributed processing frameworks
• · Ensuring solutions are production‑ready: secure, tested, observable, and cost‑efficient
• · Optimising data performance, reliability, and data quality in live environments
• · Collaborating with analysts, data scientists, AI engineers, and platform teams
• · Mentoring junior engineers and contributing to shared standards and accelerators

Role Overview

We are seeking a Data Scientist to design, build, and deliver production ready data science and machine learning solutions for enterprise and regulated clients. This is a hands on role covering the full lifecycle - from data exploration and feature engineering through to model deployment, evaluation, and iteration.

The role suits someone focused on real world delivery and measurable outcomes, rather than research in isolation.

Key Responsibilities

• · Develop and deploy ML and data science solutions from proof of concept to production
• · Perform data exploration, feature engineering, and model development on large datasets
• · Apply techniques across prediction, classification, clustering, NLP, and multimodal AI
• · Use both traditional ML and GenAI / LLM approaches where appropriate
• · Track experiments, metrics, and model versions (e.g. MLflow)
• · Collaborate with data engineers and AI engineers to integrate models into platforms
• · Continuously improve models based on performance, feedback, and data drift

We are looking for a Senior Software Engineer in Test / Senior Test Engineer / Test Analyst with strong hands-on automation testing experience. In this role, you will design, develop, and maintain automated test suites using industry-standard tools to validate client-facing applications and ensure high product quality across AWS-based systems, including AI/ML platforms and data/analytics infrastructure (e.g., AWS Bedrock, Databricks) and database layers (Aurora / PostgreSQL).

Key Responsibilities:

• Managing Test creation, execution, defects, retests, sync with BAs for requirement clarity.
• Representing team in all scrum meetings and own the discussion.
• Participate in sprint planning, daily stand-ups, and retrospective meetings.
• Understand and execute test strategies and test plan.
• Integration and Data layer testing as part of ETL.
• Perform database testing and data validation for AWS Aurora / PostgreSQL (schemas, queries, stored logic where applicable), ensuring data integrity across services and pipelines.
• Test data/analytics and AI/ML workflows (e.g., Databricks jobs/pipelines, feature engineering, model/LLM inference integration) across environments.
• Validate AI/GenAI service integrations (e.g., AWS Bedrock) including prompt/response contracts, latency, error handling, and safety/guardrail behaviors.
• Collaborate with data/ML engineers to define test data, quality checks, and observability for pipelines (logs/metrics), and to mitigate issues such as data drift and schema changes.
• E2E system testing by covering all flows.
• Collaborate with cross-functional teams to understand project requirements and ensure test coverage.
• Contribute to the design and implementation of CI/CD pipelines for automated testing and deployment.
• Reviewing test environments and processes to facilitate continuous improvement and maintenance of quality standards.
• Providing test estimates
• Build automation using selenium, Java OR any industry standard tool.

The Data Governance Consultant will leverage Microsoft Purview’s Unified Catalog, Data Map, and Data Quality capabilities to ensure enterprise data assets are high-quality, compliant, and easily discoverable across multi-cloud and on‑premises environments. This role combines deep technical expertise in Purview with strong data analysis skills to assess, monitor, and continuously improve data ecosystems—enabling informed business decisions while mitigating privacy, security, and compliance risks.

Key Responsibilities

Implement Data Governance Frameworks

• Design and deploy Microsoft Purview-based governance solutions, including automated scanning, classification, and lineage tracking.
• Catalog and govern structured, semi-structured, and unstructured data assets across diverse data platforms.

Manage Data Quality Initiatives

• Define, configure, and maintain data quality rules within Purview’s Unified Catalog using no-code/low-code capabilities.
• Execute recurring data quality scans to generate quality scores and identify issues such as inconsistencies, inaccuracies, and missing data.

Monitor and Analyse Data Health

• Utilise Purview dashboards and insights to assess data quality metrics, conduct root cause analysis, and track performance trends.
• Collaborate with data owners and stewards to remediate issues and improve overall data reliability and trustworthiness.

Support Compliance and Risk Management

• Implement sensitivity labels, access controls, and governance policies within Purview.
• Ensure compliance with regulations such as GDPR, CCPA, and internal data governance standards.

Cross-Functional Collaboration

• Partner with data analysts, data engineers, and business stakeholders to embed Purview into data workflows.
• Provide enablement, training, and guidance to support self-service data discovery and governance adoption.

Reporting and Optimisation

• Develop and deliver reports on governance maturity, data quality metrics, and compliance outcomes.
• Continuously optimise Purview configurations to improve scalability, performance, and efficiency across large and complex data estates.

• Service Desk shift – Triaging new incidents in call logging system ServiceNow
• Level 1 support for our customers ERP Systems – user setups, initial troubleshooting, gathering additional information
• Co-ordination and contribution to the monthly and weekly scheduled customer status reports
• Management of the monthly and weekly reporting cycle 
• Ensuring CSIP/customer recommendations are up to date and driven through
• Liaising with marketing and senior management on newsletter items to be included
• Driving KPI and ISO - Ensure that ServiceNow tickets are kept up-to-date and accurate and ensure that all notes and associated information relating to calls are added to the system in an appropriate manner and agreed customer SLAs are met
• Assist with creating knowledge documentation and sharing knowledge with the team Liaise with 3rd party Service Providers on incidents
• Project support – assist with testing or supervised configuration where required
• Adhering to client operational procedures and conducting daily checks
• Driving initiatives to streamline our processes.

Key Responsibilities

• Look for 7-10 years of experience in Devops and AWS.
• Design, build, and maintain cloud-native applications using AWS serverless services (e.g., Lambda, API Gateway, DynamoDB, SQS, Cognito, CloudWatch).
• Manage and operate AI/ML Platform on AWS
• Develop infrastructure as code using AWS CDK or similar tools (e.g., Terraform, CloudFormation).
• Able to build front/back-end solutions
• Contribute to event-driven and microservices architectures.
• Collaborate with cross-functional teams, support DevOps processes (CI/CD pipelines, configuration management), and troubleshoot issues across the stack.

Role Overview

We are seeking an experienced and highly motivated Senior Business Analyst to join our consulting team. In this role, you will work closely with clients, product teams, and delivery colleagues to define, analyse, and shape business and technology solutions.

You will bring strong business analysis fundamentals, hands-on Agile delivery experience, and the ability to operate confidently with senior stakeholders. This role suits someone who thrives in a fast-paced, dynamic environment and enjoys solving complex business problems.

Key Responsibilities

• · Lead end-to-end business analysis activities across discovery, design, and delivery phases, including facilitating workshops and stakeholder sessions.
• · Engage, influence, and advise senior stakeholders, including policy makers and C-suite representatives.
• · Elicit, analyse, and document requirements using user stories, process maps, and supporting artefacts to build and refine product backlogs.
• · Perform root cause analysis and translate business needs into clear, actionable solution designs and system specifications.
• · Conduct options analysis, feasibility assessments, and contribute to solution recommendations.
• · Analyse and help shape AI and data-driven use cases in collaboration with technical and data teams.
• · Manage stakeholders across all levels—from executive sponsors to delivery teams—both internally and client-side.
• · Support User Acceptance Testing (UAT) across all testing phases to ensure solutions meet business needs and are release-ready.

We are seeking a highly motivated individual to join our team as a Scrum Master. The ideal candidate will have a solid understanding of Scrum methodologies and be able to apply them to our development process. You will also have strong business analysis skills and be able to work with stakeholders to identify, prioritize requirements, educate them about Agile as well as experience with data analysis and management. 

Key Responsibilities:

• 8+ years of experience working within an Agile environment as Scrum Master 
• Facilitate Scrum ceremonies such as sprint planning, daily stand-ups, sprint demos\reviews, and retrospectives.
• Coach and guide the development team on Scrum, Lean and DevOps principles and practices.
• Propose improvements to the current process and Agile practices.
• Collaborate with stakeholders to understand business requirements and translate them into user stories and acceptance criteria.
• Work with product owners to conduct business analysis activities such as requirements gathering, process mapping, user stories, wire frames, documentation of features and gap analysis.
• Work to prioritize, maintain the product backlog and acceptance criteria to maximize value of data solutions.
• Ensure that the product backlog items are clearly defined, well understood, and properly estimated by the development team.
• Develop and maintain data-related documentation and requirements.
• Encourage a culture of continuous improvement and accountability for individual processes.
• Drive and manage a culture of data adaptation and metrics to measure performance.
• Continuously monitor the Project’ and Squad’s performance, gather feedback from various stakeholders and respond/take actions to show continuous improvement.
• Work with cross-functional teams to ensure timely delivery of high-quality.
• Communicate progress, risks, and dependencies to stakeholders and leadership, escalate to delivery manager when needed 
• To be the key liaison between Internal Customer and Development team.
• Committed to clients and to delivery.

Overview

As an AI Technical Lead / Architect focused on Generative and Agentic AI, you will architect, design, and lead the delivery of production-ready, enterprise-grade AI systems. You will take ideas from early experimentation and prototypes through scalable, secure, and reliable AI solutions used by real customers and internal users.

The role focuses on building intelligent, agent-based systems that can reason, plan, integrate with tools, and make autonomous decisions at enterprise scale.

Strong engineering mindset with end-to-end ownership, experience delivering real-world AI solutions at enterprise scale, and ability to mentor and influence across teams.

Key Responsibilities

Technical Leadership & Architecture

• Provide technical leadership and architecture for Generative and Agentic AI initiatives
•  Design end-to-end AI system architectures covering orchestration, data, APIs, security, and deployment
• Build LLM-based solutions using RAG, embeddings, prompt engineering, function calling, and agentic workflows
• Ensure production readiness including CI/CD, testing, observability, scalability, security, and cost optimization
• Mentor AI engineers and collaborate with business and technology stakeholders

Generative & Agentic AI Engineering

• Design and build LLM-based systems using techniques such as:
•  Retrieval Augmented Generation (RAG)
•  Embeddings and vector search
• Prompt engineering and prompt optimization
• Function calling and tool usage
• Agentic and multi-agent workflows
• Build AI systems that integrate LLMs with APIs, data platforms, enterprise applications, and workflow engines
• Apply modern AI evaluation approaches including automated testing, benchmarking, and qualitative + quantitative LLM evaluation

Engineering Exc ellence & Operations

• · Apply strong software engineering and distributed systems principles to AI development
• · Design for observability, including logging, metrics, tracing, alerts, and model performance monitoring
• · Diagnose and resolve production issues related to latency, reliability, data quality, and model behavior
• · Balance innovation speed with operational excellence and long-term maintainability

Collaboration, Enablement & Mentorship

• · Work closely with business stakeholders to translate real-world problems into AI-driven solutions
• · Partner with AI engineers, data scientists, and platform teams to scale delivery
• · Mentor and coach engineers on Generative AI, Agentic AI, and cloud-native best practices
• · Support low-code and Copilot/Flow-style solutions where appropriate, while ensuring architectural integrity

Experience: 5+ years

Role Overview:

We are looking for an experienced UI Developer with strong expertise in React, Next.js, TypeScript, HTML and CSS to design and build modern, responsive, and high-performance web applications. You will work closely with UX designers, backend engineers, and product stakeholders to translate requirements and designs into scalable, maintainable, and user-friendly interfaces.

The role requires a solid understanding of frontend architecture, best practices, and performance optimization, with a strong focus on clean code, reusability, and accessibility.

Key Responsibilities

• Overall, 7 to 10 years of IT experience with at least 5+ years of OIC Development experience and remaining years of Fusion / EBS Technical.
• Provide L3-level support and technical ownership for Oracle Integration Cloud (OIC) within a managed services environment
• Design, enhance, and optimize integrations between Oracle ERP Cloud, HCM Cloud, third-party SaaS products, and on‑premise systems
• Support and improve existing integrations, ensuring high availability, performance, and adherence to SLA/KPI commitments
• Apply strong knowledge of Oracle SaaS and PaaS extension and integration patterns to drive continual service improvement
• Proactively monitor, troubleshoot, and resolve integration issues, including fault handling, reprocessing, and recovery
• Ensure data security, compliance, and governance across Oracle SaaS, OIC, and OCI-based integrations
• Work closely with functional teams and customers, using knowledge of Finance, Procurement, HCM, and SCM to deliver business-aligned solutions
• Design, maintain, and support operational and analytical reporting using:
  • Oracle BI
  • OTBI
  • BICC
  • FRS
• Manage incidents, problems, and changes in line with ITIL processes, ensuring controlled and auditable delivery
• Act as a technical escalation point, collaborating with Oracle Support where required
• Support customer transitions into managed services following Cloud implementations or vendor exit
• Identify recurring issues, lead root cause analysis, and implement permanent fixes
• Contribute to service documentation, knowledge bases, runbooks, and standard operating procedures

Role Overview

We are seeking a Senior Oracle Fusion Reporting Consultant to join our Oracle Cloud Managed Services team. This is a senior, customer‑facing role suited to an experienced reporting professional with over 10 years of Oracle Reporting including 5+ years of hands-on Oracle Fusion Cloud reporting and analytics.

The role focuses on the ongoing support, enhancement, and strategic evolution of Oracle Fusion reporting solutions. You will act as a trusted SME for customers, owning reporting delivery across Finance, HCM, Procurement, and SCM modules while ensuring stability, performance, compliance, and continuous improvement within a managed services environment.

Key Responsibilities

• Provide L3-level functional and technical reporting support for Oracle Fusion Cloud in a managed services setting
• Hands-on development and support of reports and analytics using:
  • OTBI
  • BI Publisher (BIP)
  • BICC
• Lead the design and execution of reporting strategies, ensuring:
  • Data accuracy and reconciliation
  • Performance optimisation
  • Alignment with customer and business objectives
• Define reporting roadmaps and establish best practices and standards for analytics delivery across clients
• Work closely with functional and technical teams to produce detailed reporting specifications, including:
  • Data sources and subject areas
  • Filters, layouts, and KPIs
  • Security and data access rules
• Actively manage stakeholder relationships through clear communication, regular updates, and expectation management
• Identify, assess, and mitigate reporting and data-related risks, proactively addressing dependencies and potential issues
• Investigate and resolve data discrepancies, refresh failures, and performance issues
• Implement robust validation, testing, and quality assurance processes to ensure reporting accuracy and consistency
• Support period-end, statutory, and regulatory reporting cycles, including month-end and year-end activities
• Own and maintain comprehensive reporting documentation, including:
  • Report specifications
  • Test plans
  • Data definitions
  • Security and governance guidelines
• Provide leadership to the reporting delivery team, promoting continuous improvement and reporting excellence
• Manage reporting-related incidents, problems, and changes in line with ITIL processes
• Support customer transitions into managed services following Oracle Fusion implementations or vendor exit

We require a senior Oracle HCM Cloud consultant to join our expanding Managed Services team. The consultant must have experience of at least two HCM Cloud projects as a functional expert. Experience of other Oracle HCM products (in particular, E-Business Suite) would be advantageous.

You will come up with design solutions, offer expertise and provide guidance to our clients on best practices for the successful delivery of the chosen solution as part of an ongoing Managed Service. You should be customer focussed with strong documentation skills and able to work independently and unsupervised.

Responsibilities:

• Provide day to day application support for a variety of clients.
• Provide training and coaching for other colleagues
• Assist in pre-sales activities via demos
• Offer expert advice regarding Cloud processes, configuration options and roadmaps
• Provide functional leadership and guidance to clients regarding "leading practices" and the functionality of the software modules through as part of an ongoing Managed Service
• Ability to effectively work with end-users remotely
• Positive, dynamic, and flexible attitude, should be an excellent team player

You will help define and deliver a series of diverse key projects with the team. The roles present a dynamic and challenging opportunity for an experienced Business Analyst who is enthusiastic about closer connection with our customer’s core business.

We are seeing unprecedented growth across several of our key practice areas. We are looking for talented individuals, who want a challenging, dynamic work environment with honesty & integrity, excellence and drive amongst our core values as well as a strong emphasis on our people and a work-life balance.

• End-to-end project involvement from leading workshops through to design and delivery phases.
• Perform root cause analysis of problems and work closely with business users in order to identify and translate their needs into solution designs and systems specifications.
• Produce detailed Business Requirement Specification Documents
• Stakeholder management across all levels from c-suite through to on-the-ground developers both internally and with the clients
• Support UAT during all phases of testing to ensure that the solutions are ready for release.