Forward Deployed AI Engineer

Accenture PLC; Newcastle; Presencial; GBP 120 000 - 180 000; Tempo integral

Resumo da oferta

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.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Cloud-native systems

Agentic solutions

AI platforms OpenAI Claude Vertex AI

Leadership in software engineering

End-to-end delivery ownership

Business value articulation

Executive stakeholder communication

Non-linear career profiles welcome

People leadership

Descrição da oferta de emprego

Role Description

This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client’s enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational environments. You own outcomes: time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes.

The market is beginning to understand what leading technology companies havedemonstrated: AI products fail not because the models are weak but because deployment is broken. The gap between a successful AI pilot and an AI capability that scalesisbridged by engineers who can translate platform capability into measurable business value inside a real enterprise environment. That is this role.

Forward Deployed AI Engineers form the execution spine of our Reinvention Deployment Engineering pods. We are building the largest FDE capability in the services industry. The engineers who join at this stage will define what the role looks like at scale and will have access to the hardest enterprise AI problems in the market across every industry.

Key Responsibilities

• Lead enterprise AI platform deployments across complex multi-stakeholder client environments — Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir — owning the fullprogrammefrom architecture through adoption

• Ownprogramme-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 atprogrammescale

• Shape AI reinvention strategy for client CTO, CFO, and CISO: build value architecture, ROI backlogs, use caseprioritisationframeworks, 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

Basic Qualifications

• Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).

• Deepexpertisein 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,allocatingresources 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 ondemonstrateddeployment 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

LI-MP

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

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