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# Forward Deployed Engineer

- **Company:** Hackajob Ltd
- **Location:** Southall, UK
- **Salary:** £61,000.0 - £101,000.0
- **Contract:** Permanent contract
- **Skills:** Abstraction Layers, Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Continuous Integration, Software Debugging, Open Source Technology, Pattern Recognition, Salesforce.Com, SAP (Applications), Containerization, AI Platforms, Enterprise Integration, Terraform, Serverless Computing, Microservices
- **Published:** September 27, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5899594518

## 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


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