Senior Applied AI Engineer (m/f/d)

Senior Applied AI Engineer (m/f/d)

In Germany - Berlin | Bonn | Cologne | Frankfurt/Main | Hamburg | Munich

Simon‑Kucher is building up a central Data & AI function to enable employees with AI solutions and build central AI use cases that ensure that consultants work smarter and better. As a Senior Applied AI Engineer you will design, build, and operate production‑grade internal AI applications that embed Simon‑Kucher methods into reusable capabilities, deliver secure and measurable outcomes (quality, adoption, latency/cost) in close partnership with AI Product Managers and IT Ops, establish foundational engineering patterns (testing, evaluation, observability, deployment) for the central Data & AI function and you will be a core implementation partner to the AI Product Managers, turning product roadmaps into robust solutions that can be adopted globally.

What makes us special

• Advance your career with exciting professional opportunities in our thriving company with a startup feel.

• Voice your unique ideas in a corporate culture defined by openness and integrity.

• Enjoy the opportunity to work from abroad (workation).

• Feel at home working with our helpful, enthusiastic colleagues who have great team spirit.

• Broaden your perspective with our extensive training curriculum and learning programs (e.g. LinkedIn Learning).

• Speak your mind in our holistic feedback and development processes (e.g. 360‑degree feedback).

• Satisfy your need for adventure with our opportunities to live and work abroad in one of our many international offices.

• Enjoy our benefits, such as hybrid working, daycare allowance, corporate discounts, and wellbeing support (e.g. Headspace).

• Unwind in our break areas where you can help yourself to the healthy snacks and beverages provided.

• See another side of your coworkers at our frequent employee events and highly anticipated World Meeting and Holiday Party.

How you will create an impact

• You will design and implement LangGraph/LangChain multi‑step workflows (RAG, tool calling, multi‑step orchestration, structured outputs).

• You will integrate with internal data via APIs/connectors and automate end‑to‑end flows using Power Automate across Microsoft 365.

• You will build evaluation datasets, define quality metrics, run regression tests, and implement observability/tracing (LangSmith and/or Azure AI Foundry tooling).

• You will implement guardrails for prompt injection/data exfiltration, handle PII redaction, and align with retention/audit requirements with IT and security stakeholders.

• You will build reusable libraries (prompt/versioning patterns, artifact generators, question banks, retrieval components) so each use case accelerates the next.

• Support central functions (HR, Finance, Legal, IT, Knowledge Management) in deploying Power Automate workflows with AI capabilities.

About you

• You have 4–6+ years of relevant engineering experience (software engineering, ML engineering, or applied AI engineering).

• You have experience in leading technical projects and take on ownership of technical solutions.

• You are strong in Python, including API development and integration patterns.

• You have deep hands‑on experience delivering LLM‑based solutions (RAG, tool calling, agentic workflows) with LangChain and/or LangGraph or similar AI orchestration frameworks.

• You are comfortable with production practices, including testing, code reviews, CI/CD, observability, and operational support.

• You have a university degree in Computer Science, Data Science, Engineering, or equivalent practical experience.

• You communicate clearly in English (C1+) and can align technical decisions with business constraints.

• You have knowledge of Power Automate or similar workflow automation platforms.

• Consulting background or understanding of professional services delivery models.

• Experience with Azure ecosystem (AI Foundry, Container Apps, Functions).

• Familiarity with SK's industry (pricing, revenue management, market research) or willingness to learn domain expertise.