Forward Deployed AI Engineer

Accenture Infrastructure and Capital Projects, LLC; Böblingen; Vor Ort; EUR 90.000 - 140.000; Vollzeit

Zusammenfassung

Accenture is seeking a Forward Deployed AI Engineer to join our Reinvention Deployment Engineering pods. You will embed with client teams to deploy, scale, and operationalize AI platforms inside enterprise environments, owning outcomes such as time-to-value, reliability, adoption, and ROI.

You will translate platform capabilities into measurable business value, design architectures across identity, data, security, and workflow integration, and contribute to reusable patterns and accelerators for

Qualifikationen

• 3-5 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• Minimum of 1 year of deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
• Minimum of 3 years of experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
• Minimum of 10 years of 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; not qualified in internal projects or vendor labs.
• Proven ability to articulate business value and quantify impact for senior client stakeholders.

Aufgaben

• Embed directly with client engineering and business teams to deploy, scale, and operationalize AI platforms inside enterprise environments.
• Own production outcomes end-to-end: time-to-value, reliability, adoption velocity, and scalability, with business metrics attached.
• 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.

Kenntnisse

cloud-native systems

agentic solutions

AI platforms

CI/CD / IaC

delivery ownership

business value

stakeholder management

non-linear profiles

Tools

Terraform

Helm

Jobbeschreibung

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.Youown 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

• 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

• 3-5yearsengineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• Minimum of 1yearsof deepexpertisein designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
• Minimum of 3 years of experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
• Minimum of 10 years of experience deploying toproduction ,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 ondemonstrateddeployment experience and outcome ownership, not CV pattern matching

#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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