Senior AI Engineer in London

Senior AI Engineer in London

London Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
Tcs Uk

At a Glance

  • Tasks: Design and develop innovative AI systems that enhance customer experiences for a leading UK retailer.
  • Company: Join a top retailer driving digital transformation with cutting-edge technology.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on responsible AI practices and career advancement.
  • Why this job: Make a real impact by leveraging AI to transform customer interactions and drive innovation.
  • Qualifications: Experience in AI development, Python programming, and cloud technologies required.

The predicted salary is between 70000 - 90000 £ per year.

This role will have a significant impact on delivering innovative solutions for one of the leading retailers in the UK, driving digital transformation and enhancing customer experiences. You’ll work on projects that leverage cutting-edge technologies such as microservices, event-driven architectures, and cloud platforms, contributing to scalable, secure, and high-performing systems.

Your responsibilities:

  • Design and develop agentic AI systems capable of multi-step reasoning, planning, and action execution
  • Build scalable AI applications using Python as the core development language
  • Develop and integrate solutions using Azure OpenAI Services, including prompt engineering, embeddings, and fine-tuning strategies
  • Implement orchestration pipelines using Semantic Kernel and LangGraph for multi-agent workflows
  • Integrate tools, APIs, and enterprise systems using MCP (Model Context Protocol) or similar frameworks
  • Design memory, state management, and context-aware agent behaviours
  • Optimize performance, cost, and latency of LLM-based solutions
  • Collaborate with solution architects, product teams, and stakeholders to translate business use cases into AI solutions
  • Ensure governance, security, and responsible AI practices are embedded into solutions

Key Responsibilities:

  • Design agent architectures
  • Define orchestration patterns
  • Design tool strategy and integration approach
  • Lead implementation of AI services
  • Establish coding standards and best practices
  • Guide evaluation and safety approaches
  • Support production deployments and troubleshooting

Hands-on Skills Required:

  • Design multi-agent solutions
  • Design RAG architecture
  • Implement complex orchestration workflows
  • Build scalable AI microservices
  • Define AI governance patterns
  • Troubleshoot production AI solutions

Technologies: Azure OpenAI, Azure AI Foundry, Semantic Kernel, LangGraph, MCP, Azure AI Search, Event-driven architectures.

Senior AI Engineer in London employer: Tcs Uk

As a Data Governance Specialist at our company, you will be part of a dynamic team dedicated to driving customer excellence through robust data governance practices. We pride ourselves on fostering a collaborative work culture that values innovation and continuous learning, offering ample opportunities for professional growth in a supportive environment. Located in a vibrant area, our workplace not only provides a stimulating atmosphere but also encourages a healthy work-life balance, making it an ideal place for those seeking meaningful and rewarding employment.

Tcs Uk

Contact Details:

Tcs Uk Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Engineer in London

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 Tcs Uk 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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Explore Job Boards Specifically for Tech Roles

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We think you need these skills to ace Senior AI Engineer in London

AI System Design
Multi-step Reasoning
Python Development
Azure OpenAI Services
Prompt Engineering
Embeddings
Fine-tuning Strategies

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 Tcs Uk.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Tcs Uk 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 Tcs Uk

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 Tcs Uk 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.