Lead AI Delivery Architect — London

Tata Consultancy Services; Greater London; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Pension

Health care

Laptop & phone provided

Extensive training resources

Discounts within Tata network

London Marathon sponsorship

Job summary

Tata Consultancy Services in London seeks an experienced AI Delivery Architect to design enterprise AI solutions, validate implementations and drive execution with engineering teams. This hands-on delivery role focuses on producing secure, observable, production-ready architectures and reducing technical risk.

The role requires leadership across cloud-native, hybrid and enterprise environments, with hands-on GenAI, LLMs and agentic AI knowledge.

Qualifications

• Experience designing enterprise AI solutions and hands-on AI delivery beyond PoC.
• Experience with cloud platforms and AI services, data, security and operations.
• Ability to lead multidisciplinary delivery teams and transfer knowledge.

Responsibilities

• Design end-to-end AI solution across model, data, integration and security.
• Define architecture boundaries, roadmaps and acceptance criteria.
• Define data approach including retrieval, metadata and lineage.
• Create reusable reference architectures and playbooks.
• Coach engineers through design reviews and transfers of ownership.

Skills

Solution architecture

Enterprise architecture

ADR & NFRs

LLMs & prompt mgmt

Agentic patterns

RAG / vector search

Data ingestion & metadata

Cloud services & Kubernetes

MLOps / LLMOps

Governance & security

Education

Bachelor’s or Master’s in CS/Engineering/Data Science

Tools

Kubernetes

CI/CD

GCP/AWS/Azure

Job description

Tata Consultancy Services in London seeks an experienced AI Delivery Architect to design enterprise AI solutions, validate implementations and drive execution with engineering teams. This hands-on delivery role focuses on producing secure, observable, production-ready architectures and reducing technical risk.

The role requires leadership across cloud-native, hybrid and enterprise environments, with hands-on GenAI, LLMs and agentic AI knowledge.