Forward-Deployed Senior Software Engineer

November 7, 2026

Hybrid

Senior

Epsom, United Kingdom

Indeed

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Mandatory office attendance
1 day per week

Description

Forward-deployed senior engineering role identifying, designing, building and putting AI-powered tools into production to solve real business problems. The engineer is embedded directly with business stakeholders, with no dedicated Product Owner, Business Analyst or Delivery Manager in between, and owns discovery, scoping, prioritisation, delivery and communication. The work combines product-driven software engineering fundamentals, AI-assisted development with Claude and Copilot, LLM features on Azure, full-stack delivery and CI/CD, with success measured through adoption, reliability and measurable business value.

Responsibilities

Own discovery, problem definition, scoping and prioritisation 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 through AI-prototyped products rather than documentation
Use AI-assisted tools such as Claude and 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
Productionise successful prototypes into secure, maintainable internal applications
Champion effective use of AI to increase engineering productivity and accelerate delivery

Requirements

Significant experience working in a forward-deployed or embedded engineering model, for example through a digital agency, consultancy, start-up, scale-up or small product team, delivering directly with the customer or business
Translating loosely defined business challenges and 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
Experience with AI-assisted development tools such as Claude to accelerate delivery and rapidly produce prototypes, proof-of-concepts and production-ready solutions while maintaining quality, security and maintainability
Building AI functionality into a product, for example integrating LLM-based features using Azure AI Foundry or Azure OpenAI, with exposure to RAG, MCP, vector databases and embeddings, semantic search and agentic workflows
Full-stack engineering: building web applications, dashboards, APIs and internal tools using JavaScript, Java, Python and React, integrating data from internal and third-party platforms
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 CI/CD pipelines, infrastructure-as-code and automated deployment processes
Desirable: evaluating and introducing emerging AI technologies to improve engineering productivity and business outcomes
Desirable: developing solutions on Microsoft Azure including App Services, Functions, Storage, managed database services, Azure AI Foundry and Azure AI Search
Desirable: building and operating production services with monitoring, alerting, logging and observability tooling such as New Relic
Desirable: event-driven architectures, messaging platforms and system integrations
Desirable: experience in healthcare, fitness, retail, digital or other customer-facing environments

Conditions

Full-time permanent contract with a 37.5 hour working week
Company pension options
Free gym membership and health assessments
Retail and employee discount benefits
Fitness, lifestyle and health wellbeing rewards package
Opportunities to learn and develop through self-learnning, mentoring and training courses
Wide variety of challenging work across the organisation's digital systems with responsibility to develop own ideas

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