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# Forward Deployed Engineer

- **Company:** Hackajob Ltd
- **Location:** Southall, United Kingdom
- **Salary:** £61,000 - £101,000
- **Contract:** Permanent contract
- **Skills:** Abstraction Layers, Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Continuous Integration, Software Debugging, Pattern Recognition, OpenAI, Salesforce.Com, SAP (Applications), Retrieval-Augmented Generation, Open-source Models, Prompt Engineering, Containerization, AI Platforms, Enterprise Integration, Claude, Terraform, Serverless Computing, Microservices
- **Published:** November 14, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5964529693

## About the Role

* Engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverless
 * Experience designing and deploying agentic solutions such as agents, orchestration, context engineering, RAG, and workflows in production environments
 * Strong experience with AI platforms including OpenAI, Claude, and Vertex AI, plus open-source models and abstraction layers for multi-provider pipelines
 * Strong experience deploying to production, including CI/CD, infrastructure as code, monitoring, and debugging
 * Demonstrated end-to-end delivery ownership in a client-embedded environment; internal projects, vendor labs, or team-only deployments do not qualify
 * Proven ability to articulate business value and quantify deployment impact in terms a CFO would recognize and act on
 * Experience presenting to and building trust with senior client stakeholders at CTO, CFO, or CISO level
 * Non-linear profiles are welcomed; assessment is based on demonstrated deployment experience and outcome ownership, not CV pattern matching

## Description

* Embed directly with client engineering and business teams to deploy, scale, and operationalize AI platforms inside enterprise environments
 * Own production outcomes end to end, including time-to-value, reliability, adoption velocity, and scalability, with business metrics attached
 * Move from ambiguous business problems to working production systems through rapid experimentation, from days to prototype and weeks to production-ready
 * Design and govern AI architectures across the enterprise stack, including identity, data, security, governance, platform layer, and workflow integration
 * Translate technical architecture into business impact for client CTO, CFO, and CISO stakeholders; shape use case roadmaps, ROI backlogs, and AI adoption strategy
 * Build reusable patterns, playbooks, and accelerators that the client can own and run independently
 * Lead design workshops, proofs of concept, architecture walkthroughs, and code-with sessions with client engineering and leadership teams
 * Codify patterns and delivery learnings that scale across engagements and contribute to the growth of the FDE practice

Technologies:

 * AI
 * CI/CD
 * Cloud
 * CTO
 * Embedded
 * RAG
 * Security
 * Serverless
 * microservices
 * Helm
 * Network
 * SAP
 * Salesforce
 * Terraform