At a Glance
- Tasks: Design and implement innovative AWS Generative AI solutions for voice and chat.
- Company: Join TCS, a purpose-driven tech company making a real impact.
- Benefits: Enjoy competitive salary, health care, and extensive training resources.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Be at the forefront of Generative AI technology and drive meaningful change.
- Qualifications: Strong AWS architecture skills and experience with Generative AI concepts.
The predicted salary is between 70000 - 90000 € per year.
Role: AWS Gen AI Architect
Job Type: Permanent
Location: Luton, UK (Hybrid)
Number of hours: 40 hours per week – full time
Are you looking for an exciting opportunity in AWS Generative AI capabilities? Are you passionate about Generative AI? We have an exciting role for you - AWS Gen AI Architect.
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. Gain access to endless learning opportunities. Work closely with the range of teams within the business to bring products to life.
The Role:
As an AWS Generative AI Architect you will be responsible for defining the end-to-end architecture, reference designs, and governance for Generative AI solutions across voice and chat channels. This role partners with product owners, security, data, and engineering teams to translate business outcomes into scalable, secure, and cost-optimised architectures on AWS, accelerating delivery of conversational AI products using Amazon Bedrock, agentic frameworks, and retrieval-augmented generation (RAG) patterns.
Key responsibilities:
- Own the target-state architecture for GenAI products (voice and chat), including multi-account strategy, landing zone alignment, network patterns, and environment segregation (dev/test/prod).
- Define reference architectures for Amazon Bedrock, model orchestration, RAG, tool/function calling, and agentic workflows (e.g., LangChain/LangGraph/CrewAI/Strands-style patterns) with clear guardrails.
- Design enterprise-grade knowledge architectures: ingestion pipelines, chunking strategies, embedding/model choices, vector stores, metadata/ACL strategy, and evaluation loops to improve retrieval quality.
- Architect APIs and integration layers for GenAI agents (API Gateway/ALB, VPC integration, event-driven patterns), including connectivity to external systems and MCP-style tool servers where applicable.
- Establish security, privacy, and compliance-by-design: IAM least privilege, KMS encryption, secrets management, data classification, PII redaction, prompt/response filtering, and model governance.
- Drive non-functional requirements: reliability, scalability, latency, observability, DR, and cost controls (FinOps) for GenAI workloads.
- Guide build teams through solution design, reviews, and implementation; produce architecture artefacts (HLD/LLD), patterns, and decision records; mentor developers and engineers.
- Define evaluation and monitoring strategy: offline test sets, automated regression, hallucination detection, safety metrics, guardrail effectiveness, and production telemetry.
- Support stakeholder engagement and client-facing workshops to shape roadmaps, prioritise use cases, and align on success criteria.
Your Profile:
Essential skills/knowledge/experience:
- Strong hands-on architecting experience with AWS, including Well-Architected Framework, multi-account design, networking, and security patterns.
- Deep understanding of LLM concepts (prompting, tool use, retrieval, grounding, evaluation) and GenAI risk controls (hallucination, toxicity, PII leakage, prompt injection).
- RAG architecture expertise: data ingestion, embeddings, vector search, re-ranking, response synthesis, and continuous improvement using feedback signals.
- API and integration design experience, including event-driven architectures and secure connectivity to enterprise systems.
- Proficiency in one or more languages (Python/Node.js preferred) and infrastructure-as-code (CDK/CloudFormation/Terraform) for repeatable deployments.
- Experience setting up observability for GenAI: tracing, logging, metrics, and model/application performance dashboards.
- Excellent communication skills for architecture storytelling, stakeholder management, and client-facing workshops.
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.
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 believe in building and sustaining a culture of equity and belonging where everyone can thrive. Our diversity and inclusion motto is ‘Inclusion without Exception’. Our continued commitment to Culture and Diversity is reflected across our workforce implemented through equitable workplace policies and processes.
You’ll find a welcoming culture and many internal volunteering and social networks to join (these are optional). Our diversity, inclusion and social activities include 12 employee networks such as gender diversity, LGBTQIA+ & Allies, mental health, disability & neurodiversity inclusion and many more, as well as health & wellness initiatives and sports events and we sponsor the London Marathon.
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.
If you are an applicant who needs any adjustments to the application process or interview, please contact us with the subject line: “Adjustment Request” or call TCS London Office to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process.
Next Steps:
Due to a 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.
Cloud Architect in Luton employer: Tata Consultancy Services
TCS is an exceptional employer, offering a vibrant work culture in Luton that fosters innovation and collaboration. With a strong commitment to diversity and inclusion, employees benefit from extensive training resources, competitive salary packages, and opportunities for personal and professional growth. Join us to make a meaningful impact through cutting-edge projects in AWS Generative AI while enjoying a supportive environment that values every individual.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Architect in Luton
✨Tip Number 1
Network like a pro! Reach out to current employees at TCS on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the AWS Gen AI Architect role.
✨Tip Number 2
Prepare for those interviews! Brush up on your knowledge of AWS, Generative AI, and the specific technologies mentioned in the job description. Practice explaining complex concepts in simple terms – it’ll impress the interviewers!
✨Tip Number 3
Showcase your projects! If you’ve worked on relevant projects, be ready to discuss them in detail. Highlight your hands-on experience with AWS and how you’ve tackled challenges in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining TCS and making an impact in the world of Generative AI.
We think you need these skills to ace Cloud Architect in Luton
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application to highlight how your skills and experiences align with the AWS Gen AI Architect role. Use keywords from the job description to show that you understand what we're looking for.
Showcase Your Passion:Let your enthusiasm for Generative AI shine through in your written application. Share any relevant projects or experiences that demonstrate your passion and expertise in this exciting field.
Be Clear and Concise:Keep your application clear and to the point. Avoid jargon and ensure your writing is easy to read. We appreciate straightforward communication, so make it easy for us to see your qualifications.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Tata Consultancy Services
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge, especially the Well-Architected Framework and multi-account design. Be ready to discuss how you've applied these concepts in real-world scenarios, as this will show your hands-on experience.
✨Master Generative AI Concepts
Familiarise yourself with LLM concepts and RAG architecture. Prepare to explain how you've tackled challenges like hallucination and PII leakage in past projects. This will demonstrate your deep understanding of the field and your ability to manage risks.
✨Showcase Your Communication Skills
Since you'll be working closely with stakeholders, practice articulating complex architectural ideas clearly and concisely. Think of examples where you've successfully managed stakeholder expectations or led client-facing workshops.
✨Prepare for Technical Questions
Expect technical questions about API design, event-driven architectures, and observability setups. Brush up on your coding skills in Python or Node.js, and be ready to discuss your experience with infrastructure-as-code tools like Terraform or CloudFormation.