Artificial Intelligence Engineer
Listed on 2026-08-23
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Type: Permanent
Location: London, UK (Hybrid)
Number of hours: 40 hours per week – full time
Are you looking for an exciting opportunity in GCP Devops ?
We have an exciting role for you –
GCP Dev Ops - Agentic AI Engineer
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.
- Innovation driven by ambition:
Gain exposure to innovative technology. Be part of an exciting team where you will be challenged every day. - Limitless scope:
Support many of the biggest brands in the UK. Guide and collaborate with some of the brightest global minds in the industry. - Global, distinct perspectives:
Build strong relationships with a diverse range of stakeholders.
We are seeking a highly skilled AI Engineer to design, build, and deploy next‑generation AI, Generative AI, and Agentic AI solutions at enterprise scale. The ideal candidate will combine deep expertise in Python, Machine Learning, Large Language Models (LLMs), RAG architectures, AI Agents, and cloud‑native engineering to deliver production‑grade intelligent systems.
You will work with architects, data scientists, product teams, and business stakeholders to develop autonomous AI solutions that drive business transformation and operational excellence.
Your responsibilities:- Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design.
- Design, build, and operate production‑grade agentic AI systems used across multiple products.
- Own and evolve shared agentic AI capabilities, including:
- Design and Develop Agent frameworks and orchestration layers
- Planning, tool use, and memory strategies
- Design Retrieval and grounding (RAG) pipelines
- LLM infrastructure, inference, and model gateways
- Evaluation, observability, and safety tooling for autonomous systems
- Lead technical design reviews and help teams navigate trade‑offs involving autonomy, safety, reliability, scalability, and cost.
- Partner across teams to deliver complex, cross‑cutting agentic AI initiatives from concept to production.
- Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise‑ready improvements.
- Experience building large‑scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure, async processing, queues, and streaming systems
- Experience working on Python, Gen AI, Agentic AI
- Advanced proficiency in Python, Hands‑on experience with PyTorch, Tensor Flow, Hugging Face.
- Practical knowledge of model orchestration frameworks (e.g., Lang Chain, Llama Index, CrewAI), Familiarity with vector databases
- Experience with cloud platforms (AWS, Azure AI, Google Cloud Vertex AI) and containerization technologies
- Proven ownership of complex, cross‑cutting agentic systems spanning multiple teams or products.
- Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
- Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.
- Fluency with AI‑assisted and agentic development workflows.
- Ability to influence technical direction and align teams without formal authority.
- Problem‑solving, cross‑functional collaboration, and the ability to articulate complex AI concepts to non‑technical business stakeholders
- Experience working in BFSI Domain
- End to End architecture knowledge on AI/GenAI/AgenticAI
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.
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