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About the Role

We are seeking Forward-deployed Senior Software/AI Product Engineers to identify, design, build, and put into production AI-powered tools that solve real business problems. This is a genuinely forward-deployed role where you will be embedded with business stakeholders, owning discovery, scoping, prioritization, delivery, and stakeholder communication. Success will be measured through adoption, reliability, and measurable business value. You will combine strong, product-driven software engineering fundamentals and practical application of AI technologies with cloud and DevOps expertise to deliver value quickly and safely. While AI-assisted development is central, this remains a hands-on software engineering position requiring strong coding, critical-thinking, architectural, and operational capabilities.

Responsibilities

Own discovery, problem definition, scoping, and prioritization directly with the business, acting as your own product owner and business analyst.
Build digital products, AI-powered features, agents, and automated workflows that solve priority business challenges.
Work embedded with business stakeholders as their direct engineering partner, validating ideas and quantifying benefits quickly through AI-prototyped products and solutions rather than documentation.
Use AI-assisted tools (Claude and/or Copilot) to take solutions from discovery and prototype through testing, deployment, monitoring, and iterative development.
Manage your own delivery, including planning, managing expectations, communicating progress and trade-offs, and reporting outcomes to stakeholders at all levels.
Build and maintain CI/CD pipelines and deployment automation of cloud-hosted solutions.
Productionize successful prototypes into secure, maintainable internal applications.
Champion effective use of AI to increase engineering productivity and accelerate delivery.

Requirements

Working in a forward-deployed or embedded engineering model, for example through a digital agency or consultancy, a start-up or scale-up, or a small product team, where you worked directly with the customer or business to uncover needs and deliver solutions.
Translating loosely defined business challenges and/or requirements into working digital products, collaborating directly with stakeholders to validate ideas through rapid iteration.
Strong stakeholder collaboration and management skills, including the confidence to challenge, negotiate priorities, and manage expectations with senior business stakeholders, plus product judgment and a bias for practical delivery.
AI-assisted development tools (e.g. Claude) to accelerate digital product delivery, rapidly producing prototypes, proof-of-concepts, and production-ready solutions whilst maintaining appropriate levels of quality, security, and maintainability.
Building AI functionality into a product or application, for example by integrating LLM-based features using Azure AI Foundry, Azure OpenAI or similar platforms, with exposure to techniques and frameworks such as retrieval-augmented generation (RAG), Model Context Protocol (MCP) vector databases and embeddings, semantic search, and agentic workflows.
Full-stack engineering, building web applications, dashboards, APIs, and internal tools using established languages (JavaScript/Java/Python) and frameworks (e.g. React), integrating data from internal and third-party platforms, with a strong grounding in software architecture, security, performance, scalability, and resilience.
Exposure to relational and non-relational database technologies, Data Engineering, Machine Learning, and LLM transformer architectures.
Deploying, operating, and supporting applications in cloud environments, such as Microsoft Azure, implementing and maintaining CI/CD pipelines, infrastructure-as-code, and automated deployment processes.
Evaluating and introducing emerging AI technologies to improve engineering productivity and business outcomes.
Developing solutions on Microsoft Azure including App Services, Functions, Storage and managed database services, Azure AI Foundry and Azure AI Search.
Building and operating production services with appropriate monitoring, alerting, logging, and observability tooling (e.g. New Relic), using platforms such as.
Event-driven architectures, messaging platforms, and system integrations.
Experience in healthcare, fitness, retail, digital, or other customer-facing environments.

Skills

AI-powered tools
Cloud expertise
DevOps expertise
Software engineering fundamentals
AI technologies
AI-assisted development
Coding
Critical-thinking
Architectural capabilities
Operational capabilities
Product owner
Business analyst
Digital products
AI-powered features
Agents
Automated workflows
AI-prototyped products
Claude
Copilot
CI/CD pipelines
Deployment automation
Cloud-hosted solutions
Secure applications
Maintainable applications
Engineering productivity
Delivery acceleration
Forward-deployed engineering model
Embedded engineering model
Digital agency
Consultancy
Start-up
Scale-up
Product team
Customer collaboration
Business needs identification
Solution delivery
Stakeholder collaboration
Stakeholder management
Challenging stakeholders
Negotiating priorities
Managing expectations
Product judgement
Practical delivery
LLM-based features
Azure AI Foundry
Azure OpenAI
Retrieval-augmented generation (RAG)
Model Context Protocol (MCP)
Vector databases
Embeddings
Semantic search
Agentic workflows
Full-stack engineering
Web applications
Dashboards
APIs
Internal tools
JavaScript
Java
Python
React
Data integration
Software architecture
Security
Performance
Scalability
Resilience
Relational databases
Non-relational databases
Data Engineering
Machine Learning
LLM transformer architectures
Microsoft Azure
App Services
Functions
Storage
Managed database services
Azure AI Search
Production services
Monitoring
Alerting
Logging
Observability tooling
New Relic
Event-driven architectures
Messaging platforms
System integrations
Healthcare environments
Fitness environments
Retail environments
Digital environments
Customer-facing environments

Location

Epsom
Barbican, London

Work Type

Hybrid
Permanent
Full-Time

Experience Level

Senior

Salary/Compensations

Competitive salary, depending on experience

Benefits

Free gym membership
Health assessments
Retail discounts
Pension options

About the Company

Nuffield Health is dedicated to improving the health of the nation and making a real difference to people's everyday lives.
We provide a wide variety of interesting and challenging work involving most of Nuffield Health’s Digital systems.
We offer an environment where you will be given responsibility to develop your ideas and solutions.
You will be working within a community of engineers where your opinions are valued and contribute to the engineering standards and practices adopted.
We provide opportunities to learn and develop your career through self-learning, mentoring, and/or training courses.
We foster an environment that allows you to perform at your best work, working collaboratively with like-minded colleagues.
We want you to love coming to work, feeling healthy, happy, and valued.
We take care of what’s important to you.