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Forward Deployed Engineering Manager

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

CI/CD
Microservices
Presentation skills
Terraform
AI
Debugging

Full job description

This is not a consulting . It is not a project delivery . 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 have demonstrated: 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 scales is bridged by engineers who can translate platform capability into measurable business value inside a real enterprise environment. That is this .

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 looks like at scale and will have access to the hardest enterprise AI problems in the market across every industry.

Key Responsibilities

Embed directly with client engineering and business teams to deploy, scale, and operationalize AI platforms — Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir — inside enterprise environments

Own production outcomes end-to-end: time-to-value, reliability, adoption velocity, and scalability, with business metrics attached — not just delivery milestones

Move from ambiguous business problem to working production system through rapid experimentation: days to prototype, weeks to production-ready

Design and govern AI architectures across the full enterprise stack: identity, data, security, governance, platform layer, and workflow integration

Translate technical architecture into business impact for client CTO, CFO, and CISO; shape use case roadmaps, ROI backlogs, and AI adoption strategy

Build reusable patterns, playbooks, and accelerators that the client owns after you leave — enabling the client team to run it without you

Lead design workshops, proofs of concept, architecture walkthroughs, and code-with sessions with client engineering and leadership teams

Codify patterns and delivery learnings that scale across engagements and contribute to the growth of the FDE practice

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 deploying to production , CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.

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

#LI-EU

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forward deployed jobs in swords, d

Forward Deployed Engineering Manager

AI Native SW Engineering Consultant

Lead AI Solutions Delivery Engineer

Regional Safety Program Manager

Product Manager

LV Switchgear Field Service Engineer

Senior Software Engineer, Forward Deployed AI Engineer

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