Generative AI Engineer

Tata Consultancy Services; Warwick; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

Tata Consultancy Services UK&I is seeking an AI Copilot engineer to design, implement and govern AI solutions across the organisation, leveraging Generative AI, agentic architectures and Azure AI services. The role combines architecture, engineering, data literacy and change leadership to rapidly develop AI-powered capabilities and scale them into secure, production-grade services.

The position requires hands-on Azure AI, observability and governance expertise, with responsibilities spanning

Qualifications

• Proven experience delivering AI solutions in enterprise environments.
• Strong understanding of LLMs, Generative AI and Agentic AI architectures.
• Experience implementing Retrieval Augmented Generation (RAG) solutions.
• Experience designing AI workflows incorporating tool calling, orchestration and memory patterns.
• Experience evaluating, deploying and operating production AI solutions.
• Hands-on experience with Azure AI Services.
• Experience with Azure AI Search and Foundry.
• Experience with Azure Machine Learning.
• Understanding of Azure-based AI security, networking and governance controls.
• Experience implementing monitoring and observability for AI and digital platforms.
• Knowledge of telemetry solutions and defining operational metrics.
• REST APIs and integrations; vector databases and semantic search.

Responsibilities

• Agentic AI Solution Development: Design and implement AI agents capable of autonomous task execution.
• Develop multi-agent and orchestration architectures to automate complex workflows.
• Build RAG solutions with tool calling, memory frameworks and workflow patterns.
• Define governance controls for autonomous AI agents and secure integrations.
• Collaborate with cloud, security and data teams to scale AI platforms.
• Support deployment pipelines, model lifecycle management and operational readiness.
• Establish AI observability: performance, reliability, and usage monitoring.
• Define KPIs, telemetry and incident response for AI services.
• Ensure governance and Responsible AI compliance across deployments.

Skills

AI Engineering

LLMs & Generative AI

RAG solutions

Tool calling & orchestration

Azure AI (Essential)

Observability & Monitoring

REST APIs

DevOps / Git

Agentic AI

Vector databases

Tools

Azure AI Services

Azure AI Search

Azure Foundry

Azure Machine Learning

LangChain

LangGraph

Semantic Kernel

AutoGen

Application Insights

Power Platform

Microsoft Fabric

Job description

If you need support in completing the application or if you require a different format of this document, please get in touch with at [e-mail] or call TCS London Office number 02031552100 with the subject line: “Application Support Request”.

Job Type: Fixed Term 6 Months (Hybrid – 3 Days Office and 2 Days work form home)

Location: Warwick, UK

Number of hours: 40 hours per week – full time

Ready to utilize your experience and expertise in AI Copilot engineer?

We have an exciting role for you - AI Copilot engineers!

Careers at TCS: It means more

TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership.

• Be part of an exciting team where you will be challenged every day.
• Work closely with the range of teams within the business to bring products to life.
• Work with customers and identify opportunities to support their strategy and improve their processes across functions.

The Role

• The AI Generalist is responsible for designing, implementing, deploying and governing AI solutions across the organisation, leveraging Generative AI, Agentic AI architectures, Azure AI Services and modern AI engineering practices. The role combines business understanding, solution architecture, AI engineering, data literacy and change leadership to identify opportunities, rapidly develop AI-powered capabilities, and scale them into secure, production-grade services.
• The role will lead the adoption of AI technologies whilst ensuring solutions remain observable, secure, reliable, explainable and aligned with Responsible AI principles.

Your responsibilities

• Agentic AI Solution Development Design and implement AI agents capable of autonomous task execution across business processes.
• Develop multi-agent and agent orchestration architectures to automate complex workflows.
• Build solutions using Retrieval Augmented Generation (RAG), tool calling, memory frameworks and workflow orchestration patterns.
• Evaluate and implement emerging agentic frameworks and architectures.
• Define governance controls for autonomous AI agents.
• Configure secure AI integrations with enterprise applications and data platforms.
• Collaborate with cloud, security and data teams to establish scalable AI platforms.
• Support deployment pipelines, model lifecycle management and operational readiness activities.
• AI Operations, Monitoring & Observability Implement observability frameworks for AI solutions, including performance, reliability and usage monitoring.
• Establish monitoring for prompts, tokens, latency, hallucinations, model drift and agent execution.
• Define KPIs and telemetry requirements for AI services.
• Support incident investigation, root cause analysis and continuous service improvement.
• Ensure AI services meet operational support and availability requirements.
• Responsible AI & Governance Establish guardrails for AI applications and autonomous agents.
• Ensure compliance with Responsible AI policies, security requirements and emerging regulations.
• Conduct risk assessments for AI-enabled business processes.
• Develop governance standards and operational controls for AI solutions.

Your Profile

Essential skills/knowledge/experience:

• AI Engineering Proven experience delivering AI solutions in enterprise environments.
• Strong understanding of Large Language Models (LLMs), Generative AI and Agentic AI architectures.
• Experience implementing Retrieval Augmented Generation (RAG) solutions.
• Experience designing AI workflows incorporating tool calling, orchestration and memory patterns.
• Experience evaluating, deploying and operating production AI solutions.
• Azure AI (Essential) Hands-on experience with Azure AI Services.
• Experience with Azure AI Search.
• Experience with Azure AI Foundry.
• Experience with Azure Machine Learning.
• Understanding of Azure-based AI security, networking and governance controls.
• Observability & Monitoring (Essential) Experience implementing monitoring and observability for AI and digital platforms.
• Knowledge of application monitoring and telemetry solutions.
• Ability to define operational metrics, dashboards and alerts.
• Experience investigating AI performance issues and identifying optimisation opportunities.
• Understanding of model monitoring, drift detection and AI operational support processes.
• REST APIs and integrations.
• Vector databases and semantic search.
• AI workflow automation.
• Data modelling and data integration principles.
• Git-based development and DevOps practices.
• Semantic Kernel
• LangChain / LangGraph
• AutoGen
• Application Insights
• Power Platform
• Microsoft Fabric
• Deliver two production-grade AI solutions.
• Implement at least one enterprise agentic AI capability.
• Establish AI observability and monitoring standards.
• Improve business productivity through AI-enabled automation.
• Create reusable patterns for RAG and Agentic AI deployments.
• Ensure all AI solutions operate within agreed governance and Responsible AI frameworks.

TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network.

We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon.

Diversity, Inclusion and Wellbeing

Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998.

We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role.

As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role. Please email us at [e-mail] if you would like to opt in.

If you are an applicant who needs any adjustments to the application process or interview, please contact us at [e-mail] with the subject line: “Adjustment Request” or call TCS London Office 02031552100 / [phone] to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process.