Gen AI - Platform Engineer

Tcs London Office
UK
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Software Applications Microsoft Azure Cloud Engineering Computer Programming Information Engineering Distributed Systems Python (Programming Language) Software Engineering Enterprise Software Applications
+6 more
Cloud Platform System Chatbots Large Language Models Prompt Engineering Generative AI Yahoo Mail

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 or call TCS London Office number 02031552100 / +44 204 520 2575 with the subject line: “Application Support Request”. Job Title: GenAI Adoption - Platform EngineerJob Type: PermanentLocation: LondonHours: 40 hours per week - Full time Ready to apply your data engineering expertise to build reliable and scalable pipelines for enterprise platforms?We have an exciting opportunity for you - GenAI Adoption - Platform Engineer! Careers at TCS: It means moreTCS 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.Gain access to continuous learning opportunities in emerging AI technologies.Be part of a collaborative engineering team delivering cutting-edge solutions.Support major organisations as they transform their data and AI capabilities.

The RoleAs a GenAI Adoption - Platform Engineer, you will be responsible for enabling enterprise adoption of Generative AI by designing and building scalable, cloud-native platforms for AI workloads. You will focus on reliability, automation, and multi-tenant architectures, while integrating advanced AI capabilities into enterprise systems.

Your responsibilities:Design, build, and deploy AI-powered applications using large language models and generative AI technologies.Develop and integrate solutions such as chatbots, copilots, and content generation platforms.Implement Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge systems.Perform prompt engineering, optimisation, and evaluation of model outputs.Integrate AI APIs into enterprise applications and workflows.Deploy and manage AI applications across cloud platforms such as AWS, Azure, or GCP.Ensure platform scalability, reliability, and performance across multiple environments.Collaborate with engineering and business teams to deliver AI-driven solutions aligned with organisational needs., Rewards & Benefits 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 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 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. Next Steps: Application Process Online application: You can apply directly through LinkedIn/ by uploading your CV. In case you wish to submit your application via another format like audio/video, please, contact - Skill-Based discussion: This will be a level 1 interview with the project team, it can be via video or in-person. Details will be confirmed by your recruiter.Managerial discussion: This discussion will focus on behavioural aspects and person-organisation fit.HR Discussion: This will be with one of the members of the HR team and will cover your career journey, aspirations for growth, compensation and any other questions you may have. Beware of Fraudulent offersThis is to notify you that TCS does not ask for any sort of payment or security deposit from candidates at any stage of the recruitment process. The firm never sends out job offers from free internet email services like Gmail, Yahoo Mail, and so on. TCS has not authorised any third-party company to collect money on their behalf. As a vigilant job seeker, beware of fraudulent recruitment activity and protect your interests! You can write to to report any fraudulent activity.Due to the high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion.Join us and do more of what matters. Apply online now.

Requirements

Your ProfileEssential skills/knowledge/experience:Strong programming skills in Python (Karat assessment clearance required).Experience in Generative AI application development using frameworks such as LangChain or LangGraph.Hands-on experience building and deploying RAG-based solutions.Experience working with cloud platforms such as AWS, Azure, or GCP.Strong understanding of cloud-native architecture and distributed systems.

About the company

Desirable skills/knowledge/experience:Broader exposure to multi-cloud environments across AWS, Azure, and GCP.

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