AI Native Product Engineer & Orchestrator (all gender)
Quick Summary
Partner with business and technical stakeholders to frame problems, align priorities, and translate needs into orchestrated AI workflows.
A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our teams embed deeply with customers, orchestrating people, tools, and processes to move projects beyond experimentation into operational reality.
An AI Native Product Engineer with 3–5 years of experience building cloud-native solutions and orchestrating cross-functional efforts. You combine hands-on engineering depth with the creativity and product intuition to shape solutions that make sense for real users and enterprises. You’re as comfortable writing production code as you are whiteboarding system designs, facilitating a client workshop, or mapping a product roadmap. You thrive in ambiguity and act as a bridge between vision and execution.
You’ll embed directly with clients — acting as technologist, product thinker, and trusted advisor. You’ll orchestrate diverse stakeholders, align technical tradeoffs with business goals, and creatively stitch together net-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.
Responsibilities
~1 min read- →
Requirements
~1 min read3–5 years 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.
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.
Excellent client communication (in German and English) and collaboration skills — able to orchestrate across stakeholders, run design workshops, and deliver under ambiguity.
Bachelor’s degree in Computer Science, Engineering, or equivalent; additional AI certifications or agentic tool experience is a plus.
Nice to Have
~1 min readYou’ve served as a Product Engineer, Solutions Architect, or Agentic AI Engineer in an enterprise environment.
You’ve defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures.
You master the AI-native paradigm — blending cloud-native with generative model architectures — optimizing for performance, modularity, and efficiency.
You’ve delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs.
You’ve demonstrated creative solutioning (e.g., hackathons, product incubation, startup experience).
Visit us at www.accenture.com
Wir sind der Meinung, dass niemand aufgrund seiner Andersartigkeit diskriminiert werden sollte. Alle Einstellungsentscheidungen werden unabhängig von Alter, Rasse, Glaubensbekenntnis, Hautfarbe, Religion, Geschlecht, nationaler Herkunft, Abstammung, Behinderung, Veteranenstatus, sexueller Orientierung, Geschlechtsidentität oder -ausdruck, genetischen Informationen, Familienstand, Staatsbürgerschaft oder anderen gesetzlich geschützten Kriterien getroffen. Unsere große Vielfalt macht uns innovativer, wettbewerbsfähiger und kreativer und hilft uns, unsere Kunden und unsere Gemeinschaften besser zu betreuen.
Location & Eligibility
Listing Details
- First seen
- September 29, 2026
- Last seen
- September 29, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 55%
- Scored at
- September 29, 2026
Signal breakdown
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