Senior Data Scientist (Agentic AI Platform)

• Design, build, and productionize multi-agent systems - including planning, tool calling / function calling, memory, and orchestration - using frameworks such as LangGraph, AutoGen, CrewAI, or Semantic Kernel.
• Develop RAG pipelines end-to-end: document ingestion, chunking strategies, embeddings, vector search (Azure AI Search / FAISS / pgvector), re-ranking, and grounding for agent knowledge.
• Integrate agents with enterprise systems and APIs via tool/function calling and Model Context Protocol (MCP) or similar connector patterns.
• Build and maintain LLM evaluation frameworks for agentic workflows - task-completion metrics, hallucination detection, trajectory analysis, LLM-as-judge pipelines, and A/B testing.
• Implement guardrails, safety, and governance for agents: prompt-injection defense, content filtering, role-based tool permissions, human-in-the-loop checkpoints, and audit logging.
• Fine-tune and optimize LLMs where needed (LoRA/PEFT, prompt optimization, model routing, latency/cost trade-offs) on Azure OpenAI / Azure AI Foundry.
• Design, build, and evaluate classical ML models (classification, regression, forecasting, NLP) where they complement agentic workflows.
• Own LLMOps/MLOps for the platform: experiment tracking, prompt versioning, CI/CD, observability and tracing (LangSmith, Azure Monitor, OpenTelemetry), drift monitoring, and retraining strategies.
• Collaborate with data engineers on data quality, availability, and governance across Azure Data Lake, Databricks, and Synapse Analytics.
• Translate ambiguous business problems into agentic AI solutions; present architecture decisions and results to senior stakeholders.
• Mentor junior data scientists, lead code/design reviews, and champion engineering best practices.

• professional experience in data science / ML, with building

applications in production.

• Hands-on experience with agentic frameworks

• Strong understanding of LLM application patterns including

• Expert-level

(pandas, NumPy, scikit-learn, async programming, API development with FastAPI).

• Experience with

and embeddings (Azure AI Search, Pinecone, Weaviate, Qdrant, FAISS, or pgvector).

• Strong

• Competitive salary and performance-based incentives.
• Opportunity to architect a greenfield agentic AI platform from the ground up.
• Azure and AI certification sponsorship plus a continuous learning budget.
• Technical leadership pathway and mentorship opportunities.
• Access to cutting-edge GenAI tooling, compute, and cross-domain AI projects.
• Flexible hybrid working model and collaborative culture.

The initial basic salary for this position will be in the range of €2,700 - €4,215 per month, plus a 13th month salary applied after your first 6 months in the job. The final package will reflect your experience, skills, and qualifications relevant to the role. We are committed to fair, equitable, and gender-neutral pay practices.

• At Johnson Controls, your work comes with benefits that support both your career and your wellbeing.
• Meal vouchers fully covered by the company.
• Flexible benefits budget with access to 3,500+ options, including a MultiSport card, medical and wellness services.
• Extra savings through retail and lifestyle discounts (Benefit+).
• Allowance for the private kindergarten or nursery to support your family.
• Flexible working hours and home office days.
• Allowance for language courses, professional development support, and wellbeing support.
• On site benefits: massages, distribution of fruits, yoga, psychologist, health month, various events with supporting groups (volunteering activities, branding activities).
• Seniority benefits - extra monthly financial allowance, medical care and support, wellbeing day.
• Relocation support with housing allowance if moving to Slovakia