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Forward Deployed Engineer (Senior)

AI Engineer London metro area, UK

Job details

Not specified Salary
London metro area, UK Eligibility
Senior Experience
Not specified Employment

About this role

Role overview

A senior engineering position focused on leading customer-facing applied AI deployments from initial discovery through production handover. The role blends hands-on software engineering with technical leadership, partnering directly with business and technical stakeholders to translate ambiguous problems into sequenced, measurable deployment plans.

Responsibilities

- Lead technical discovery with customer stakeholders and convert ambiguous business problems into sequenced, measurable deployment plans - Design and build production applied AI systems, agent workflows, data pipelines, integrations, and supporting services - Configure and operate an AI agent harness covering context, tools, permissions, evaluations, observability, and guardrails - Orchestrate releases, telemetry, engineering work, and operational handover through a dedicated engineering orchestration platform - Make architecture decisions across models, retrieval, APIs, data stores, cloud services, and customer systems - Establish evaluation suites and production metrics covering quality, reliability, security, latency, adoption, and cost - Diagnose complex production issues and lead incident response for owned customer workflows - Mentor engineers, review code, and raise the technical standard of the deployment team - Communicate trade-offs, progress, and risk to both engineering teams and executive stakeholders

Requirements

- Six or more years of professional software engineering experience, including ownership of production systems - Advanced Python skills and strong experience with TypeScript, JavaScript, or another production language - Hands-on experience delivering AI, machine learning, data-intensive, or automation products into production - Strong systems design skills across APIs, SQL and NoSQL data stores, cloud infrastructure, security, and observability - Practical knowledge of LLM application patterns such as retrieval-augmented generation, tool use, structured outputs, evaluations, and agent orchestration - Experience leading technical discovery and working directly with senior customer stakeholders - Ability to operate independently in ambiguous, fast-moving environments and leave behind stable, maintainable systems

Benefits and work setup

- London-based with collaboration primarily during UK and European business hours - Travel to customer offices when a deployment requires it - Opportunity to engage with senior stakeholders across financial services, insurance, technology, healthcare, and other regulated industries

Skills detected in the listing

TypeScriptJavaScriptPythonSQLStakeholder ManagementMachine LearningLLM
Detected Sep 22, 2026
Last verified Sep 22, 2026

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