At a Glance
- Tasks: Design and develop AI solutions that tackle real-world challenges.
- Company: Join TCS, a purpose-led transformation company with a global impact.
- Benefits: Competitive salary, health care, training resources, and discounts.
- Other info: Dynamic team environment with opportunities for career growth.
- Why this job: Make a meaningful difference through innovative AI projects.
- Qualifications: Proficiency in Python and experience with AI/ML libraries required.
The predicted salary is between 63000 - 77000 £ per year.
Are you passionate about building intelligent systems that solve real-world enterprise challenges? We have an exciting opportunity for you! 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.
Build strong relationships with a diverse range of stakeholders. Be part of an exciting team who challenge themselves every day. Work with customers and identify opportunities to support their strategy and improve their processes across functions.
The Role: As an Artificial Intelligence Engineer, you will bring deep expertise in full‑stack development and AI system design to complex enterprise environments. This role demands hands‑on experience in building and deploying AI/ML solutions, a strong grasp of software engineering principles, and proficiency with cloud platforms. You will play a key role in developing scalable, intelligent systems that drive innovation and deliver measurable business value.
Your Responsibilities:
- Full Stack Development: Design, develop, and maintain end‑to‑end AI solutions, including front‑end interfaces, back‑end services, and data pipelines.
- AI System Development: Implement and optimise AI models, ensuring they are scalable, maintainable, and production‑ready. Work on GenAI, Agentic AI, and classic ML solutions.
- Enterprise Integration: Integrate AI solutions with existing enterprise systems and ensure seamless operation within the client’s technology stack.
- Collaboration: Work closely with cross‑functional teams, including data scientists, software engineers, and business stakeholders, to identify opportunities and deliver robust AI solutions.
- Technical Leadership: Provide technical guidance and mentorship to junior engineers. Lead the implementation of best practices in AI/ML development and deployment.
- Innovation: Stay updated with the latest advancements in AI/ML technologies and contribute to the development of innovative solutions.
Your Profile Essential skills/knowledge/experience:
- Proficiency in Python and extensive experience with AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
- Experience with state‑of‑the‑art LLMs (e.g., GPT series, Llama series, Mistral, Claude), including prompt engineering, fine‑tuning, and evaluation.
- Hands‑on experience with core GenAI frameworks (e.g., LangChain, LlamaIndex) and Agentic AI frameworks (e.g., AutoGen, CrewAI, LangGraph).
- Proficiency in MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes).
- Strong working knowledge and practical deployment experience on major cloud platforms (AWS, Azure, GCP), including their AI/ML services.
- Strong foundation in software engineering principles for building scalable, maintainable, and production‑ready AI systems.
- Experience in designing and implementing enterprise‑grade AI solutions, including RAG‑based solutions with LLMs and vector databases (e.g., Pinecone, Weaviate, FAISS).
- Proven experience in full stack development and AI/ML system implementation within enterprise environments.
- Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, and autonomous agent design.
- Excellent communication and stakeholder management skills.
- Experience working on client proposals and leading technical presentations.
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 and are the proud sponsor of the London Marathon.
Diversity, Inclusion and Wellbeing: Tata Consultancy Services UK
Artificial Intelligence Engineer employer: Tata Consultancy Services Limited
As an IBM WebMethods Developer, you will thrive in a dynamic and innovative work environment that prioritises employee growth and collaboration. Our company offers comprehensive benefits, a supportive culture that encourages continuous learning, and unique opportunities to work on cutting-edge integration solutions in a vibrant location. Join us to be part of a team that values your contributions and fosters meaningful career advancement.
Contact Details:
Tata Consultancy Services Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer
✨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 Limited 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
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Tata Consultancy Services Limited.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Tata Consultancy Services Limited.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Tata Consultancy Services Limited that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Artificial Intelligence Engineer
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 Limited.
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 Limited 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 Limited
✨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 Limited 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.
