Senior Data Scientist (Agentic AI Platform)
At a glance
Senior ML Platform & Ops role at Jci. Bratislava-Bratislava-Slovakia · full-time.
Pay not stated ML Platform & Ops salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and launch multi-agent workflows with planning, memory and tool use, using agent frameworks
- Create RAG pipelines that ingest documents, retrieve relevant material and ground agent responses
- Connect agents to company systems and APIs, then evaluate task success, hallucinations and workflow behavior
- Set up safeguards, monitoring and release practices for the platform, including access controls and audit trails
- Present solution designs to senior stakeholders and guide junior data scientists through reviews and mentoring
What you bring
- Professional data science or machine learning experience, including production LLM or GenAI applications
- Practical use of LangChain or LangGraph for agentic applications
- Expert Python ability, including common data science libraries, asynchronous programming and API development
- Experience with embeddings and vector databases, plus strong SQL skills and work with large datasets
Who this fits
This senior role suits someone who can build production GenAI systems and help set technical direction while mentoring junior colleagues. It is based in Bratislava, with a flexible hybrid working model and relocation support available for moves to Slovakia.
From the employer
What you will do
We are hiring a Senior Data Scientist to play a key role in building our Agentic AI Platform - a system of autonomous, tool-using AI agents that plan, reason, and execute complex business workflows end-to-end. The ideal candidate combines strong ML fundamentals with hands-on experience in LLM-based application development, agent orchestration frameworks, and Microsoft Azure cloud services. You will architect and ship production-grade agentic solutions, mentor junior team members, and set technical direction for GenAI initiatives across the organization.
How you will do it
- 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.
What we look for
Required
- professional experience in data science / ML, with building LLM or GenAI applications in production.
- Hands-on experience with agentic frameworks LangChain or LangGraph.
- Strong understanding of LLM application patterns including prompt engineering
- Expert-level Python (pandas, NumPy, scikit-learn, async programming, API development with FastAPI).
- Experience with vector databases and embeddings (Azure AI Search, Pinecone, Weaviate, Qdrant, FAISS, or pgvector).
- Strong SQL skills and experience working with large-scale data.
What We Offer
- 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.
Our salary and benefits
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
About Us
Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education.
For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward.
We are committed to diversity and inclusion and believe that different perspectives make us stronger. By encouraging open dialogue and valuing individuality, we strive to be one of the most desirable places to work.