Enterprise AI Deployment Architect

Accenture UK & Ireland; Greater London; Vor Ort; GBP 120.000 - 150.000; Vollzeit

Zusammenfassung

Accenture UK & Ireland is seeking a Forward Deployed AI Engineer who embeds with client teams to deploy enterprise AI platforms and translate platform capability into measurable business value. You will own outcomes like time-to-value, reliability, adoption velocity, and scalability across complex environments.

Responsibilities include leading end-to-end deployments across multi-stakeholder environments, shaping reinvention roadmaps, and codifying best practices to scale the FDE practice.

Qualifikationen

• 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
• Non-linear profiles are expected and welcomed, assessment is based on demonstrated deployment experience and outcome ownership, not CV pattern matching
• People lead responsibilities: experience managing, developing, and performance-managing a team of engineers; setting individual development plans and conducting career conversations

Aufgaben

• Lead enterprise AI platform deployments across complex multi-stakeholder client environments — Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir — owning the full programme from architecture through adoption
• Own programme-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 programme scale
• Shape AI reinvention strategy for client CTO, CFO, and CISO: build value architecture, ROI backlogs, use case prioritisation 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

Kenntnisse

APIs

Microservices

Containerization

Serverless

Agents

Orchestration

Context engineering

RAG

Workflows

OpenAI

Claude

Vertex AI

Open-source models

Team leadership

Delivery management

Resource allocation

Mentoring

Delivery ownership

Business value articulation

Stakeholder management

Executive communication

People leadership

Performance management

Career development

Jobbeschreibung

Accenture UK & Ireland is seeking a Forward Deployed AI Engineer who embeds with client teams to deploy enterprise AI platforms and translate platform capability into measurable business value. You will own outcomes like time-to-value, reliability, adoption velocity, and scalability across complex environments.

Responsibilities include leading end-to-end deployments across multi-stakeholder environments, shaping reinvention roadmaps, and codifying best practices to scale the FDE practice.