At a Glance
- Tasks: Design and deploy next-gen AI solutions using cutting-edge technologies.
- Company: Join TCS, a purpose-led transformation company making a meaningful impact.
- Benefits: Competitive salary, health care, training resources, and wellness initiatives.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Be part of an innovative team driving real change in the AI landscape.
- Qualifications: Experience in Python, Machine Learning, and large-scale distributed systems.
The predicted salary is between 63000 - 77000 £ per year.
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 DevOps - Agentic AI Engineer.
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.
The Role: 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.
Your Profile:
Essential skills/knowledge/experience:
- 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, TensorFlow, Hugging Face.
- Practical knowledge of model orchestration frameworks (e.g., LangChain, LlamaIndex, 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/Agentic AI.
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 UKI.recruitment@tcs.com 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 UKI.recruitment@tcs.com with the subject line: “Adjustment Request” or call TCS London Office 02031552100 / +44 204 520 2575 to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process.
Artificial Intelligence Engineer in Burgess Hill employer: Tata Consultancy Services
Tata Consultancy Services in Birmingham is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With competitive salary packages, comprehensive health care, and extensive training resources, employees are empowered to grow their skills and advance their careers in a supportive environment. Join TCS to be part of a forward-thinking team dedicated to optimising warehouse operations and delivering impactful solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in Burgess Hill
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Tata Consultancy Services or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
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We think you need these skills to ace Artificial Intelligence Engineer in Burgess Hill
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Tata Consultancy Services.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Tata Consultancy Services and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Tata Consultancy Services
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Tata Consultancy Services uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
