Enterprise AI Architect: GenAI & MLOps Lead (UK)

Tata Technologies Ltd.; Gaydon; Presencial; GBP 120.000 - 170.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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

Conocimientos

Leadership

Strategic thinking

Communication

Stakeholder management

Mentoring

Client-facing

Herramientas

AWS Bedrock

SageMaker

Lambda

S3

API Gateway

LangChain

LangGraph

APIs

Microservices

Descripción del empleo

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.