AI Architect

Tata Technologies Ltd.; Gaydon; On-site; GBP 120,000 - 170,000; Full time

Job summary

Tata Technologies Ltd. is seeking an AI Architect at its UK location to own end-to-end AI solutions, validate business use cases, and define functional AI requirements.

The role partners with business stakeholders, engineering, PLM and manufacturing to deliver scalable AI architectures across domains. The candidate will lead enterprise AI architecture, ensure secure, compliant, and scalable solutions, and drive bids and executive discussions.

Qualifications

• Experience in enterprise AI architecture and roadmaps.
• Deep expertise in LLMs, RAG, vector databases, embeddings and AI agents.
• Strong AWS solution architecture experience including Bedrock and SageMaker.
• Experience with Python, LangChain, LangGraph and modern AI ecosystems.
• Excellent client-facing and leadership skills.
• AWS Solutions Architect Professional certification and AI certifications are a plus.

Responsibilities

• Define enterprise AI roadmaps and target-state architectures.
• Architect GenAI, RAG, Knowledge Graph and Agentic AI solutions.
• Design platforms using AWS Bedrock, SageMaker, ECS/EKS, Lambda, S3 and API Gateway.
• Establish MLOps and LLMOps practices.
• Ensure security, compliance, responsible AI and operational scalability.
• Support bids, proposals, estimations and executive stakeholder discussions.
• Oversee delivery quality, security and scalability

Skills

Leadership

Strategic thinking

Communication

Stakeholder management

Mentoring

Client-facing

Tools

AWS Bedrock

SageMaker

Lambda

S3

API Gateway

LangChain

LangGraph

APIs

Microservices

Job description

The person will be placed as AI Architect at UK location. The primary responsibility is to take ownership of end-to-end AI Solutions and help with AI initiative proposals along with architecting the robust AI solutions.

The architect will work closely with business stakeholders, engineering teams, PLM teams, and manufacturing operations to validate AI business use cases, define AI functional requirements, and ensure seamless integration PLM and AI systems.

In this role the person will lead the definition and delivery of enterprise AI architecture across engineering, manufacturing and business domains.

Provide architectural leadership for Generative AI, Agentic AI, machine learning and cloud-native platforms. Partner with customers, enterprise architects and delivery teams to translate business objectives into scalable AI solutions.

Job location is Gaydon, CV35 0RR, TTL

Area of Responsibility

• Define enterprise AI roadmaps and target-state architectures.
• Architect GenAI, RAG, Knowledge Graph and Agentic AI solutions.
• Design platforms using AWS Bedrock, SageMaker, ECS/EKS, Lambda, S3 and API Gateway.
• Establish MLOps and LLMOps practices.
• Ensure security, compliance, responsible AI and operational scalability.
• Support bids, proposals, estimations and executive stakeholder discussions.
• Oversee delivery quality, security and scalability

Knowledge / Experience

• AI application development experience with leading AI/ML programs
• Define enterprise AI roadmaps and target-state architectures.
• Deep expertise in LLMs, RAG, vector databases, embeddings and AI agents.
• Strong AWS solution architecture experience including Bedrock and SageMaker.
• Experience with Python, LangChain, LangGraph and modern AI ecosystems.
• Strong understanding of integration patterns, APIs, microservices and cloud architecture.
• Excellent client-facing and leadership skills.
• Support bids, proposals, estimations and executive stakeholder discussions.
• AWS Solutions Architect Professional certification.
• AWS AI/ML Specialty certification.
• Experience with Azure OpenAI and multi-cloud deployments.
• Knowledge of PLM, MBSE, Digital Thread and Digital Engineering.
• Automotive, Aerospace or Manufacturing domain experience.

Personal Profile :

• Excellent mentoring and coaching capability.
• Strategic thinker with strong technical depth.
• An individual with the ability to challenge existing thinking in a positive way whilst building credibility and trust through experience and personal style.
• An individual with excellent communication skills and who is able to negotiate with both engineers and senior managers to effect process and tool changes.
• A resilient and enthusiastic individual who responds constructively to new ideas and inputs.
• Strong communicator capable of influencing senior stakeholders.
• Collaborative leader who develops high-performing teams.