AI SAP System Integration Engineer (all genders)
You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it.
This role sits within our Manufacturing and System Integration practice, where AI is applied to real-world SAP, logistics, and manufacturing transformation challenges. As demand for AI engineering talent continues to outpace supply, we offer something no single product company can: exposure to complex enterprise environments across industries, technologies, and operating models, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams.
Key Responsibilities
- Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability;
- Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets;
- Integrate and abstract across multiple LLM providers — OpenAI, Anthropic, Vertex AI, and open-source models — with fallback routing, token, cost, and latency management;
- Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring;
- Embed directly with client engineering teams to design, prototype, and deploy agentic solutions — workshops, proofs of concept, code-with sessions, and architecture walkthroughs;
- Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings and recommendations to client stakeholders in business terms.
- Software engineering experience in production environments, coupled with experience in SAP, manufacturing, logistics, or system integration domains where technology solutions support complex business operations.
- Hands-on experience designing and deploying agentic AI solutions in a production environment — non-negotiable;
- Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent — at production depth, not tutorial level;
- Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs;
- RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering;
- LLMOps fundamentals: eval harness design, prompt versioning, and production observability;
- Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm);
- Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience;
- Quality of experience is weighted over years, a candidate who has shipped three production agentic systems in four years is preferred over a generalist with passive AI exposure.
- Very good German and English language skills, as well as a willingness to travel occasionally for business purposes.
What We Offer
- A workplace culture that celebrates diversity, inclusion, and a sense of belonging.
- Extensive learning and development opportunities to help you continuously build your skills and advance your career.
- Dedicated mentoring and structured onboarding to support your professional growth from day one.
- The flexibility to work where you can make the greatest impact: from an Accenture office, remotely, or directly with clients.
The Accenture Culture: Here, YOU are the catalyst for change
Your skills, personality, and ambitions make you unique. And when diverse talents, strengths, and perspectives come together, something extraordinary happens: ideas that create real impact in the world. That's why, at Accenture, we champion diversity and individual growth. Create a work environment where you can thrive. Take on challenges that matter to you. Shape a workload that fits your life. Work in ways that support your goals. How you connect, learn, and grow is up to you. This is your career. We're here to help you build it the way you envision it.
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