Job
- Level
- Experienced
- Job Field
- Application, Product
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you will develop AI-native systems and orchestrate complex workflows by designing and implementing technical solutions in collaboration with diverse stakeholders.
Job Technologies
Your role in the team
- You will embed directly with clients - acting as a technologist, product thinker, and trusted advisor.
- You will orchestrate diverse stakeholders, align technical trade-offs with business goals, and creatively stitch together new platforms and workflows.
- Often, you'll be shaping not only the what but also the why and how of AI-native systems that must operate reliably at enterprise scale.
- Partner with business and technical stakeholders to frame problems, align priorities, and translate needs into orchestrated AI workflows.
- Design and engineer enterprise-ready AI agents - including retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
- Prototyping innovative solutions that combine technical rigor with human-centered product thinking.
- Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and enablement.
- Apply containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to create and integrate scalable AI-native systems.
- Tailor and deploy agentic applications across industry verticals (e.g., finance, healthcare, retail) - addressing domain-specific processes via intelligent automation.
- Lead design workshops, POCs, and code-with sessions; communicate technical tradeoffs and solution impact clearly to both executives and engineers.
- Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
- Entwickle wiederverwendbare Muster, Dokumentationen und Best Practices, um interne Ressourcen und Kundenfahrpläne zu beeinflussen.
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Our expectations of you
Education
- Bachelor's degree in Computer Science, Engineering, or equivalent; additional AI certifications or agentic tool experience is a plus.
Qualifications
- Deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
- Excellent client communication (in German and English) and collaboration skills - able to orchestrate across stakeholders, run design workshops, and deliver under ambiguity.
Experience
- 3-5 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
- Strong experience with AI platforms - OpenAI, Claude, Vertex AI, plus open-source models - including building abstraction layers to manage multi-provider pipelines.
- Strong programming experience in Python, Java, C# or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
- Experience deploying to production - CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
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What we offer
- In this role, you'll be part of Accenture Technology's SAP Business Group.
- We leverage the full spectrum of digital technologies to simplify our clients' everyday operations and lead their businesses into the future—from #CustomerExperience to #GenAI, from #SAPDataManagement to #360°ValueDifferentiation.
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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
AI Native Product Engineer & Orchestrator
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
