Job
- Level
- Senior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you will deploy AI solutions directly with clients, optimize their AI platforms, and ensure scalability and adoption speed while achieving measurable business outcomes.
Job Technologies
Your role in the team
- 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 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.
- 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.
- 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.
- Leiten Sie Design-Workshops, Machbarkeitsnachweise, Architektur-Reviews und Code-Reviews mit den Engineering- und Führungsteams des Kunden.
- Codify patterns and delivery learnings that scale across engagements and contribute to the growth of the FDE practice.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- 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
- 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.
- 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.
This text has been machine translated. Show original
Benefits
Health, Fitness & Fun
Higher Take-Home Pay
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Accenture GmbH
Wien, Linz
Accenture is one of the world's leading professional services firms, renowned for its consulting and outsourcing services with a focus on Strategy, Digital, Technology and Operations.
Description
- Founding Year
- 1993
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Consulting, Internet, IT, Telecommunication
Employer reviews
by devworkplaces.com
Total
(3 Reviews)3.8
Career Growth
3.8Engineering
3.0Workingconditions
4.3Culture
3.9
Forward Deployed AI Engineer
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
