Senior Manager AI Engineering

Simon-Kucher Core Business Services Sp. z o. o. helps organizations unlock growth by combining commercial expertise in pricing, sales, marketing, and customer experience with cutting-edge AI technologies. The company supports clients in transforming commercial decision-making through enterprise AI, Agentic AI, and data-driven solutions.

• 5+ years of experience in AI Engineering, Machine Learning Engineering, Software Engineering, or Applied AI.
• University degree in Computer Science, Data Science, Engineering, or equivalent practical experience.
• AI expertise combined with commercial experience across pricing, sales, marketing, and customer experience.
• Experience leading technical projects and ownership of technical solutions.
• Strong in Python, including API development and integration patterns.
• Hands-on experience delivering LLM-based solutions (RAG, tool calling, agentic workflows) with LangChain and/or LangGraph or similar AI orchestration frameworks.
• Comfortable with production practices including testing, code reviews, CI/CD, observability, and operational support.
• 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).
• Willingness to travel as required by client/project.
• Clear communication in English at C1+ level, aligning technical decisions with business constraints.

• Lead complex AI transformation programs from strategy through enterprise deployment, ensuring successful delivery, client impact, and commercial outcomes.
• Manage and develop multidisciplinary teams of AI engineers, consultants, and client stakeholders while fostering a collaborative, high-performing culture.
• Oversee the design and implementation of enterprise AI architectures, ensuring solutions align with business objectives, engineering standards, and enterprise best practices.
• Guide teams in delivering modern AI solutions, including Agentic AI, LLM applications, Retrieval-Augmented Generation (RAG), AI agents, and cloud-native AI platforms.
• Translate business processes into AI-enabled operating models, prioritize high-value AI use cases, and ensure solutions deliver measurable business value.
• Ensure engineering excellence across AI delivery by promoting best practices in software engineering, MLOps, Responsible AI, governance, observability, and operational excellence.
• Advise senior client stakeholders on AI strategy, operating models, governance, and enterprise AI adoption.
• Drive capability development by mentoring team members, establishing engineering best practices, and fostering continuous learning across the AI Engineering team.
• Support business development by identifying new opportunities, shaping AI proposals, and expanding existing client relationships.

Position is remote from Poland or hybrid from Warsaw.