Job
- Level
- Senior
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- München
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Rolle implementierst du KI-Lösungen direkt bei Kunden, optimierst deren AI-Plattformen und stellst deren Skalierbarkeit sowie Adoptionsgeschwindigkeit sicher, während du messbare Geschäftsergebnisse erzielst.
Job Technologien
Deine Rolle im 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.
- 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.
Unsere Erwartungen an dich
Qualifikationen
- 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.
Erfahrung
- 3-5 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
- Minimum of 1 years 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.
Benefits
Gesundheit, Fitness & Fun
Mehr Netto
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Accenture GmbH
Wien, Linz
Accenture ist eines der führenden Unternehmen in den Bereichen Beratungs- und Outsourcingdienstleistungen. Mit Schwerpunkten in Strategie, Digitalisierung, Technologie und Betriebswirtschaft deckt Accenture nahezu alle wichtigen Branchen ab und bietet seinen Kunden engagierte Lösungspakete an.
Description
- Gründungsjahr
- 1993
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Beratung, Internet, IT, Telekom
Arbeitgeber-Reviews
von devworkplaces.com
Gesamt
(3 Bewertungen)3.8
Career Growth
3.8Engineering
3.0Workingconditions
4.3Culture
3.9
Forward Deployed AI Engineer
- Ort
- München
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
