Senior GenAI Engineer: AWS Bedrock, LLMs & Agentic AI

Wipro; Greater London; Ibrido; GBP 90.000 - 120.000; Tempo pieno

Descrizione del lavoro

Wipro in London or Norwich is seeking a Senior AI Engineer to design and build secure, scalable Generative AI and Agentic AI solutions on AWS Bedrock AgentCore. You will combine strong software engineering with hands-on leadership across cloud-native AI projects. Location: London or Norwich.

Working Model: Hybrid 2/3 days in the office. Responsibilities include developing LLM integrations, RAG pipelines, embeddings and vector search, building on AWS, and implementing guardrails and Responsible

Competenze

• Extensive hands-on experience with GenAI and AI systems on cloud platforms.
• Proven experience leading AI engineering teams.
• Strong software engineering skills in Python or Java.

Mansioni

• Design and build secure, scalable GenAI and Agentic AI solutions using AWS Bedrock AgentCore.
• Develop and integrate LLMs, RAG pipelines, embeddings, vector search and agentic workflows.
• Build cloud-native solutions across AWS, including containerised, serverless and managed services.
• Implement infrastructure as code using Terraform and AWS CDK.
• Establish automated testing, CI/CD, monitoring and observability across AI services.
• Implement guardrails, model evaluation and Responsible AI controls.
• Optimize solutions for performance, resilience, security and cost.
• Provide hands‑on technical leadership and work across engineering, security, data science, operations and product teams.

Conoscenze

Software engineering

Technical leadership

AWS Bedrock AgentCore

Generative AI

LLMs integration

RAG and embeddings

Vector search

Python/Java

Terraform

AWS CDK

CI/CD and DevSecOps

Responsible AI

Strumenti

Terraform

AWS CDK

Descrizione del lavoro

Wipro in London or Norwich is seeking a Senior AI Engineer to design and build secure, scalable Generative AI and Agentic AI solutions on AWS Bedrock AgentCore. You will combine strong software engineering with hands-on leadership across cloud-native AI projects. Location: London or Norwich.

Working Model: Hybrid 2/3 days in the office. Responsibilities include developing LLM integrations, RAG pipelines, embeddings and vector search, building on AWS, and implementing guardrails and Responsible