Enterprise AI Deployment Engineer

Accenture PLC

Newcastle

On-site

GBP 120,000 - 180,000

Full time

7 days ago

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Job summary

Accenture is seeking a Forward Deployed AI Engineer to join our Reinvention Deployment Engineering pods. You will embed with client teams to deploy AI platforms, drive time-to-value, adoption, reliability, and scalability, and translate platform capability into measurable business outcomes in real enterprises.

You will lead architecture design sessions, run executive workshops, and publish reusable reinvention blueprints.

Qualifications

Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
Deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
Experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
Experience leading software engineering teams: overseeing delivery, allocating resources across workstreams, and owning the professional development of direct reports.
Demonstrated end-to-end delivery ownership in a client-embedded environment; internal projects or vendor labs do not qualify.
Proven ability to articulate business value in terms a CFO would recognize and act on.
Experience presenting to and building trust with senior client stakeholders (CTO, CFO, CISO).
Non-linear profiles are welcomed; assessment is based on deployment experience and outcome ownership.
People lead responsibilities: experience managing, developing, and performance-managing a team of engineers.

Responsibilities

Lead enterprise AI platform deployments across complex client environments, owning architecture through adoption.
Own programme delivery outcomes: time-to-value, reliability, adoption velocity, and scalability with commercial metrics.
Lead rapid experimentation to deliver production systems in days or weeks across enterprise environments.
Architect and govern AI solutions across identity, data, security, governance, and integration at programme scale.
Shape AI reinvention strategy for client executives: build value architectures and multi-year adoption roadmaps.
Publish reusable reinvention blueprints, patterns, and accelerators that scale across client engagements.
Lead architecture design sessions, executive workshops, and code-with sessions with client leadership.
Codify delivery learnings and standards to evolve the FDE practice and guide future engineers.