Forward Deployed AI Engineer
Technology, Data & Digital · Software & Web Development · Software Engineering · Data Science · Artificial Intelligence
In short
This role is for a Forward Deployed AI Engineer who embeds within client enterprises to operationalize complex AI platforms, focusing on outcomes like time-to-value, adoption, reliability, and scalability. You will lead enterprise AI platform deployments, architect solutions across the full technology stack, and shape AI reinvention strategy for senior client leadership.
Responsibilities
- Lead enterprise AI platform deployments across complex multi-stakeholder client environments, owning the full program from architecture through adoption.
- Own program-level delivery outcomes: time-to-value, reliability, adoption velocity, and scalability across multiple concurrent workstreams, with commercial metrics attached.
- Lead rapid experimentation at pace: drive ambiguous business problems to working production systems in days or weeks across complex enterprise environments.
- Architect and govern enterprise AI solutions across the full technology stack: identity, data, security, governance, platform layer, and multi-system workflow integration at program scale.
- Shape AI reinvention strategy for client CTO, CFO, and CISO: build value architecture, ROI backlogs, use case prioritization frameworks, and multi-year AI adoption roadmaps.
- Define and publish reusable reinvention blueprints, patterns, and accelerators that scale across multiple client engagements and grow the FDE practice.
- Lead architecture design sessions, executive workshops, and code-with sessions with client engineering and C-suite leadership teams.
- Codify delivery learnings, failure patterns, and engineering standards that shape the FDE practice and enable the next generation of forward deployed engineers.
Requirements
- 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, vendor labs, or team-only deployments do not qualify).
- Proven ability to articulate business value: can quantify the impact of deployments in terms a CFO would recognize and act on.
- Experience presenting to and building trust with senior client stakeholders, CTO, CFO, or CISO level.
- People lead responsibilities: experience managing, developing, and performance-managing a team of engineers; setting individual development plans and conducting career conversations.
Desired Qualifications
- Non-linear profiles are expected and welcomed, assessment is based on demonstrated deployment experience and outcome ownership, not CV pattern matching.
Benefits
- Opportunities to keep skills relevant through certifications, learning, and diverse work experiences.
- Support for people’s physical, mental, and financial health.
- Work at the heart of change.
- Consistently recognized as one of the World’s Best Workplaces™.
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Company
Accenture
Job Posted
3 days ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
Newcastle, United Kingdom
Applicants
Be an early applicant