Embedded AI Production Engineer

Hackajob Ltd; Greater London; On-site; GBP 61,000 - 101,000; Full time

Job summary

Hackajob Ltd. seeks an experienced Forward Deployed AI Engineer to embed with client teams, deploying and operationalizing AI platforms inside large enterprises.

You will own production outcomes end-to-end, drive time-to-value, reliability, and adoption, and translate architecture into business impact for CTOs and CFOs.

This role is part of the largest FDE capability, with Accenture partnership, tackling complex, real-world AI problems across industries.

Qualifications

• Engineering experience with cloud-native systems, 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.

Responsibilities

• 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.

Skills

Cloud-native systems

Agentic AI deployment

AI platforms (OpenAI, Claude, Vertex)

Production deployment

Delivery ownership

Business value messaging

Executive stakeholder comms

Non-linear backgrounds welcomed

Tools

Terraform

Helm

SAP

Salesforce

Job description

Hackajob Ltd. seeks an experienced Forward Deployed AI Engineer to embed with client teams, deploying and operationalizing AI platforms inside large enterprises.

You will own production outcomes end-to-end, drive time-to-value, reliability, and adoption, and translate architecture into business impact for CTOs and CFOs.

This role is part of the largest FDE capability, with Accenture partnership, tackling complex, real-world AI problems across industries.