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About the Role

We are seeking a highly skilled AWS AI Agent Engineer with strong hands-on experience in agentic AI development, Amazon Bedrock, AWS AgentCore, Python, TypeScript and production-grade AIOps. The role will focus on designing, building, deploying and operating enterprise AI agents and multi-agent workflows on AWS, with strong emphasis on observability, reliability, cost control, security and continuous optimization in production environments.

Responsibilities

Design and develop AI agents and multi-agent workflows using AWS AgentCore and Amazon Bedrock.
Build autonomous and intelligent agents leveraging foundation models, tools, memory and orchestration capabilities.
Implement RAG, tool calling, agent collaboration patterns and workflow automation for enterprise use cases.
Integrate AI agents with enterprise APIs, databases, event streams and third-party platforms.
Design secure and scalable AI architectures aligned to AWS Well-Architected principles.
Develop backend services, APIs and orchestration components using Python and TypeScript.
Build event-driven and serverless applications using AWS Lambda, API Gateway, EventBridge, Step Functions, DynamoDB and SQS/SNS.
Create reusable libraries, patterns and accelerators to standardize AI agent development across teams.
Establish monitoring, observability and operational governance for production AI workloads.
Track agent performance, model latency, cost, prompt effectiveness, error rates and quality signals.
Define alerting, incident response, RCA processes and production runbooks for AI applications.
Troubleshoot AI agent issues across orchestration logic, integration failures, prompt/model behavior and platform dependencies.
Continuously optimize reliability, accuracy, latency and cost for production GenAI systems.
Build and maintain CI/CD pipelines for AI application and agent deployments.
Implement Infrastructure as Code using Terraform, AWS CDK or CloudFormation.
Collaborate with solution architects, platform teams, security teams and business stakeholders to deliver enterprise-grade AI solutions.

Requirements

Strong hands-on experience in Amazon Bedrock and agentic AI implementation patterns.
Practical experience with AWS AgentCore or similar AI agent runtime/orchestration capabilities.
Advanced Python and TypeScript development experience.
Experience implementing RAG, prompt engineering, tool/function calling and AI workflow orchestration.
Experience with production monitoring, observability and operational support for AI/ML or GenAI workloads.
Strong understanding of AWS serverless, event-driven architecture, IAM and cloud security principles.
Good understanding of CI/CD, Infrastructure as Code and release automation.
Strong problem-solving, communication and stakeholder collaboration skills.
Experience with LangChain, LangGraph, Semantic Kernel, CrewAI or similar agent frameworks.
Experience with Bedrock Knowledge Bases, vector databases such as OpenSearch, Pinecone or Weaviate, and embedding-based retrieval patterns.
Experience with MCP (Model Context Protocol), enterprise tool integration and workflow automation.
Knowledge of AI safety, guardrails, governance, responsible AI and GenAI FinOps.
Experience integrating AI solutions with ServiceNow, Salesforce, SAP or other enterprise systems.
Experience operating highly available AI applications in production environments.

Skills

Agentic AI
Engineering
AWS Platform
AIOps/LLMOps
DevOps
Python
TypeScript
Amazon Bedrock
AWS AgentCore
RAG
Prompt Engineering
Tool Calling
Workflow Orchestration
Serverless Architecture
Event-Driven Architecture
IAM
Cloud Security
CI/CD
Infrastructure as Code
Terraform
AWS CDK
CloudFormation
LangChain
LangGraph
Semantic Kernel
CrewAI
Bedrock Knowledge Bases
OpenSearch
Pinecone
Weaviate
MCP (Model Context Protocol)
ServiceNow
Salesforce
SAP

Location

London

Work Type

Contract

Experience Level

3-4 months duration

Education Level

AWS Certified AI Practitioner – preferred
AWS Certified Machine Learning Engineer – preferred
AWS Certified Developer Associate – preferred
AWS Certified Solutions Architect Associate or Professional – preferred