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# Director AI Platform & Engineering

- **Company:** Hays plc
- **Location:** Sheffield, UK (Remote available)
- **Experience:** Expert
- **Salary:** £75,000.0
- **Contract:** Temporary to permanent
- **Skills:** Microsoft Access, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Continuous Integration, Identity and Access Management, Python (Programming Language), Regression Testing, Systems Integration, Data Logging, Retrieval-Augmented Generation, Large Language Models, Snowflake, AgentCore, Agentic-AI, AI Platforms, Amazon Bedrock, Cloud Integration, Cloudwatch, Terraform, Software Version Control
- **Published:** October 21, 2026
- **Apply:** https://www.hiredonline.co.uk/jobs/225633350-director-ai-platform-engineering/hays-technology

## About the Role

* 10-12 years in software or platform engineering, including recent delivery of production LLM applications (RAG, tool calling, agents, evaluations).
 * Deep AWS expertise (IAM, Lambda, Step Functions, EventBridge, CloudWatch), infrastructure-as-code (Terraform or CDK), and CI/CD practice.
 * Strong proficiency in Python or a comparable language, with a sound engineering discipline.

## Description

The Director, Agentic AI Platform & Engineering owns the technical platform on which the businesses' AI agents are built and operated: the AWS-based agentic automation stack (Amazon Bedrock / AgentCore and related services). This is a hands-on engineering role reporting to the Senior Director, Head of Artificial Intelligence, and does not currently have direct reports.

The role works through existing functions rather than duplicating them: Infrastructure for AWS accounts, networking, and cloud operations; Security for identity, access, and data protection; and Data / enterprise systems teams for Snowflake and system integrations., * Own the internal implementation and architecture of Amazon Bedrock / AgentCore and related AWS services as the businesses single enterprise agentic automation platform.

 * Design and own runtime governance components: guardrails, evaluation harnesses, automated regression testing, observability, logging, and prompt/tool/model versioning.
 * Build and maintain reusable agent templates and platform engineering patterns so new agents are faster, cheaper, and safer to deliver.
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