Thames Valley Integrated Care Board is looking for an Agentic AI Engineer to lead the design, build and operation of our new AWS Bedrock platform, applying agentic AI to the corporate aspects of the ICB.
This is a corporate-facing role: your focus will be on driving efficiency, quality and automation in the day-to-day roles and processes the ICB performs — from administrative and operational workflows through to knowledge management and decision support — rather than clinical or direct care systems. You'll design, build and maintain secure agentic AI systems, copilots and intelligent automation services, ensuring their safe, governed and effective adoption across the organisation.
You'll be building the ICB's new agentic AI capability from the ground up, with a direct mandate to drive efficiency and automation across the corporate functions that support 2.5 million people across Buckinghamshire, Oxfordshire and Berkshire.
Location: One of Thames Valley ICB's offices
Function: Connected Care Infrastructure
Directorate: Strategy & Commissioning
Designing, building and maintaining agentic AI systems, copilots and intelligent automation services on AWS Bedrock.
Applying agentic AI to corporate processes across the ICB to drive efficiency, quality and automation.
Developing orchestration pipelines, prompt engineering frameworks, APIs and workflow automation supporting corporate and operational use cases.
Implementing safeguards including monitoring, observability, evaluation, audit logging and human-in-the-loop controls.
Working with operational leaders across the ICB to identify high-value automation opportunities and ensure solutions are trusted and effective.
Providing technical leadership on AI architecture, integration and deployment approaches.
Ensuring compliance with NHS standards, information governance and responsible AI principles.
Supporting business cases, governance papers and programme reporting.
We value and promote diversity and are committed to equality of opportunity for all. We believe that the best employers are those that reflect the communities they serve. We want to increase the diversity of our NHS leadership and particularly encourage applications from women, people from Black, Asian and Minority Ethnic communities, LGBT communities, younger candidates and from people with lived experience of disability, who we know are all under-represented in these important roles. We are committed to delivering a trustworthy, flexible and responsible staff culture.
At our Organisation, our selection process ensures we recruit candidates with the right skills and values. We monitor AI use in applications and remain alert to misuse that misrepresents abilities. You must declare any AI use when submitting your application.
The Agentic AI Engineer – Connected Care & Intelligent Automation will play a lead technical role in the design, development, deployment and operational management of secure, governed and scalable agentic artificial intelligence (AI) capabilities across Thames Valley ICB’s Connected Care ecosystem. The post holder will develop intelligent automation, retrieval-augmented generation (RAG), orchestration frameworks and AI-enabled workflow solutions to support population health, operational improvement, commissioning, service transformation and clinical decision support.
Working under the direction of the Head of Connected Care – Data Platform, Integration & AI, the post holder will provide technical leadership in the safe adoption of AI technologies, ensuring
compliance with NHS standards, information governance, clinical safety, transparency and ethical AI principles.
The role will support the delivery of NHS priorities by enabling staff productivity, reducing unwarranted variation, improving access and supporting proactive, person-centred care through intelligent systems that augment decision-making rather than replace professional judgement.
You'll be an experienced AI/ML engineer with hands-on experience of applying agentic AI and automation to real business processes. You'll have:
A degree or master's in computer science, artificial intelligence, data science, software engineering or a related discipline, or equivalent senior experience.
Extensive experience designing and deploying AI, machine learning or agentic AI systems in production environments.
Experience with LLMs, orchestration frameworks, retrieval-augmented generation (RAG), APIs and automation technologies.
Experience with AWS Bedrock or equivalent cloud AI platforms is desirable.
Knowledge of information governance, cyber security and responsible AI approaches.
The ability to translate corporate and operational needs into effective, well-governed AI-enabled.
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