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Forward Deployed Engineer
Forward Deployed AI Engineer
Accenture
About Accenture
Accenture is a leading global professional services company, providing services in strategy and consulting, interactive, technology and operations, with digital capabilities across all sectors. Known for thought leadership, innovation, and a culture that values inclusion and diversity, Accenture is recognized worldwide for its performance and commitment to empowering individuals.
“Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and the communities where we work. It is personal to all of us.” — Julie Sweet, Accenture CEO
About the Role
This is not a consulting, project delivery, or research role. A Forward Deployed AI Engineer is a production engineer embedded within a client’s enterprise, collaborating directly with their teams to operationalize complex AI platforms in real, dynamic environments. You take ownership of outcomes—not just milestones:
- Time-to-value
- Adoption
- Reliability
- Scalability
Leading technology companies (e.g. Anthropic, OpenAI, Microsoft, Google) have proven that AI products fail mostly because deployment is broken—not due to model weakness. This role bridges the gap between AI pilots and scalable AI capabilities by ensuring measurable business impact inside organizations.
Forward Deployed AI Engineers form the execution spine of Accenture’s Reinvention Deployment Engineering pods, building the largest FDE capability in the services industry. You’ll address enterprise AI challenges across industries—you’ll define the role at scale.
Key Responsibilities
- Lead deployments of enterprise AI platforms (e.g. Anthropic, OpenAI, Microsoft Azure AI, Google Vertex AI, Salesforce Einstein) across multi-stakeholder client environments, owning:
- Full programme lifecycle from architecture to adoption
- Time-to-value, reliability, adoption speed, and scalability across concurrent projects
- Commercial metrics tied to programme outcomes
- Advance AI capabilities rapidly by driving ambiguous business problems into production systems—in days or weeks—within complex enterprise environments.
- Architect and govern AI solutions across the full technology stack:
- Identity and security protocols
- Data governance and pipelines
- Multi-system workflow integration at scale
- Shape AI reinvention strategy for CTOs, CFOs, and CISOs, delivering:
- Value architecture and ROI backlogs
- Use case prioritisation frameworks
- Multi-year AI adoption roadmaps
- Publish reusable reinvention blueprints, patterns, and accelerators to scale across multiple client engagements and grow the FDE practice.
- Facilitate architecture design sessions, executive workshops, and hands-on code sessions with client engineering teams.
- Codify learnings from enterprise deployments—including failures—standardising practices for future Forward Deployed Engineers.
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Basic Qualifications
You bring a mix of technical depth and outcome-driven experience:
- 8–10 years as an engineer specialising in cloud-native systems:
- APIs, microservices, containerisation, cloud deployment, serverless architecture
- 1+ year of deep expertise in deploying agentic solutions in production:
- LLM agents, orchestration, context retention (e.g. RAG) workflows, dynamic API integration
- 7+ years with AI platforms and models:
- Experience with OpenAI, Anthropic, Google Vertex AI, Claude, Azure AI, and open-source models
- Proven ability to architect abstraction layers for multi-provider pipeline management
- 8–10 years leading software engineering teams:
- Overseeing delivery, resource allocation, professional development of direct reports
- Enabling alignment across cross-functional teams, vendors, or client stakeholders
- Demonstrated ownership in client-embedded environments:
- Cannot qualify with internal-only or vendor lab projects; business impact must be quantifiable
- Ability to articulate business value—convincingly connecting AI deployments to CFO-level ROI
- Experience working with senior leaders, building trust at CTO, CFO, or CISO levels
- "Non linear profiles welcomed"—evaluation is based on deployment successes, not rote experience
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Bonus Points
- Experience deploying AI for specialised industries (finance, healthcare, logistics) or complex domains (LLM RAG pipelines, realtime analytics)
- Deployment failure patterns under high-stakes conditions—what went wrong and how you fixed it
- Proven track record of creating cross-team playbooks or training materials to scale AI adoption
What’s In It For You
Accenture offers competitive compensation and an extensive benefits package:
- 30 days of annual leave
- Subscription-based fitness programmes + discounts at global gyms (e.g. Lean, Nike Training Club, Equinox)
- Private medical insurance
- 3 days paid leave per year for volunteer work of your choice
Accenture supports a balanced work-life framework, allowing you to tailor working patterns to suit your needs.
Location
Your home office will be London. This is a client-facing role and may require:
- Travelling across the UK and potentially internationally, depending on project demands.
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