Forward Deployed AI Engineer

Hackajob Ltd

Greater London

On-site

GBP 61,000 - 101,000

Full time

3 days ago
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Job summary

Hackajob Ltd. in Greater London is seeking a Forward Deployed AI Engineer to embed directly with client teams and deliver production AI platforms. You will own production outcomes end to end, driving time-to-value, reliability, adoption velocity, and scalability while tying outcomes to business metrics.

Role focuses on designing enterprise AI architectures, orchestrating multi-provider pipelines, and translating technical work into measurable business impact for CTO/CFO stakeholders.

Qualifications

  • Extensive experience deploying AI platforms in production environments.

Responsibilities

  • Embed directly with client engineering and business teams to deploy, scale, and operationalize AI platforms in enterprise environments.

Skills

Cloud-native systems
APIs
Microservices
Containerization
Serverless
Agentic solutions
RAG
Workflow design
OpenAI / LLM platforms
Cross-provider pipelines
CI/CD
Terraform
Helm
Security
Production deployment
Stakeholder communication

Tools

Kubernetes

Job description

Salary: £61,000 - 101,000 per year

Requirements
  • Engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverless
  • Deep experience designing and deploying agentic solutions, including agents, orchestration, context engineering, RAG, and workflows, in production environments
  • Experience with AI platforms such as OpenAI, Claude, and Vertex AI, plus open-source models, including building abstraction layers to manage multi-provider pipelines
  • Experience deploying to production, including CI/CD, infrastructure as code such as Terraform and Helm, 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 the CTO, CFO, or CISO level
  • Non-linear profiles are expected and 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 in 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 full 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 team can own after we leave
  • 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
  • Helm
  • RAG
  • Security
  • Serverless
  • Terraform
  • microservices
  • SAP
  • Salesforce
More

We are partnering directly with Accenture to hire for a Forward Deployed AI Engineer role. This is a production engineering role embedded inside client enterprises, focused on making complex AI platforms work in real organizational environments and delivering measurable business outcomes rather than consulting or project delivery milestones. We are building the largest FDE capability in the services industry, and engineers joining now will help define the role at scale while working on challenging enterprise AI problems across every industry. Accenture is a leading global professional services company serving clients in more than 120 countries, with strong capabilities in cloud, data, and AI, and a culture of shared success, innovation, and 360 value.

last updated 38 week of 2026

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