{"id":539958,"url":"https://alion.io/job/johnsoncontrols-senior-data-scientist-agentic-ai-platform","title":"Senior Data Scientist (Agentic AI Platform)","company":{"id":448321,"name":"Johnson Controls","domain":"johnsoncontrols.com","url":"https://alion.io/company/johnsoncontrols-3","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":690,"ghost_share":0.001,"stale_share":0.494,"repost_share":0.01,"time_to_fill_p50_days":25,"computed_at":"2026-10-02T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bratislava, Slovakia"],"countries":["SK"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":2700,"max":4215,"currency":"EUR","period":"month","gross":null,"usd_annual":58800},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Arize Phoenix","optional":false},{"name":"AutoGen","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GraphRAG","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"Langfuse","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"Llama","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"LoRA","optional":false},{"name":"Mistral","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"PEFT","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Qdrant","optional":false},{"name":"QLoRA","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TensorFlow","optional":false},{"name":"Tool Use","optional":false},{"name":"Transformers","optional":false},{"name":"vLLM","optional":false},{"name":"Weaviate","optional":false}],"status":"live","first_seen_at":"2026-08-26T00:00:00Z","employer_posted_date":"2026-08-26","last_verified_at":"2026-10-03T00:36:37Z","board_verified":true,"closed_at":null,"days_open":38,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":38},"description":"What you will do\nWe 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.\nHow you will do it\nDesign, 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.\n\nDevelop RAG pipelines end-to-end: document ingestion, chunking strategies, embeddings, vector search (Azure AI Search / FAISS / pgvector), re-ranking, and grounding for agent knowledge.\n\nIntegrate agents with enterprise systems and APIs via tool/function calling and Model Context Protocol (MCP) or similar connector patterns.\n\nBuild and maintain LLM evaluation frameworks for agentic workflows - task-completion metrics, hallucination detection, trajectory analysis, LLM-as-judge pipelines, and A/B testing.\n\nImplement guardrails, safety, and governance for agents: prompt-injection defense, content filtering, role-based tool permissions, human-in-the-loop checkpoints, and audit logging.\n\nFine-tune and optimize LLMs where needed (LoRA/PEFT, prompt optimization, model routing, latency/cost trade-offs) on Azure OpenAI / Azure AI Foundry.\n\nDesign, build, and evaluate classical ML models (classification, regression, forecasting, NLP) where they complement agentic workflows.\n\nOwn LLMOps/MLOps for the platform: experiment tracking, prompt versioning, CI/CD, observability and tracing (LangSmith, Azure Monitor, OpenTelemetry), drift monitoring, and retraining strategies.\n\nCollaborate with data engineers on data quality, availability, and governance across Azure Data Lake, Databricks, and Synapse Analytics.\n\nTranslate ambiguous business problems into agentic AI solutions; present architecture decisions and results to senior stakeholders.\n\nMentor junior data scientists, lead code/design reviews, and champion engineering best practices.\n\nRequired\nprofessional experience in data science / ML, with building LLM or GenAI applications in production.\n\nHands-on experience with agentic frameworks LangChain or LangGraph.\n\nStrong understanding of LLM application patterns including prompt engineering\n\nExpert-level Python (pandas, NumPy, scikit-learn, async programming, API development with FastAPI).\n\nExperience with vector databases and embeddings (Azure AI Search, Pinecone, Weaviate, Qdrant, FAISS, or pgvector).\n\nStrong SQL skills and experience working with large-scale data.\n\nPreferred\nBachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.\n\nHands-on experience with Azure services: Azure OpenAI / AI Foundry, Azure ML, Azure AI Search, Azure Databricks, Azure Data Factory, or Synapse.\n\nSolid grounding in classical ML: supervised/unsupervised learning, model evaluation, and hyperparameter tuning; experience with TensorFlow or PyTorch.\n\nExperience with Model Context Protocol (MCP), OpenAI Assistants/Agents SDK, or Anthropic tool-use APIs.\n\nStrong understanding of function/tool calling, structured outputs, RAG, agent memory, and multi-agent orchestration.\n\nProven MLOps/LLMOps experience: MLflow, prompt/model versioning, CI/CD (Azure DevOps or GitHub Actions), and production monitoring.\n\nAbility to evaluate and mitigate LLM-specific risks: hallucination, prompt injection, data leakage, and cost/latency constraints.\n\nExperience with AutoGen, CrewAI, Semantic Kernel.\n\nMicrosoft certifications: AI-102 (Azure AI Engineer), DP-100 (Azure Data Scientist Associate).\n\nExperience fine-tuning open-source LLMs (Llama, Mistral, Phi) using LoRA/QLoRA and serving via vLLM or Azure ML endpoints.\n\nFamiliarity with observability/tracing for agents: LangSmith, Langfuse, Arize Phoenix, or OpenTelemetry.\n\nKnowledge of containerization and deployment: Docker, Kubernetes (AKS), Azure Container Apps.\n\nBig data experience with Apache Spark (PySpark) via Azure Databricks.\n\nExperience with knowledge graphs, graph RAG, or semantic layers for agent grounding.\n\nContributions to open-source GenAI/agentic projects or published technical content.\nRequired\n\nprofessional experience in data science / ML, with building LLM or GenAI applications in production.\n\nHands-on experience with agentic frameworks LangChain or LangGraph.\n\nStrong understanding of LLM application patterns including prompt engineering\n\nExpert-level Python (pandas, NumPy, scikit-learn, async programming, API development with FastAPI).\n\nExperience with vector databases and embeddings (Azure AI Search, Pinecone, Weaviate, Qdrant, FAISS, or pgvector).\n\nStrong SQL skills and experience working with large-scale data.\n\nWhat We Offer\nCompetitive salary and performance-based incentives.\n\nOpportunity to architect a greenfield agentic AI platform from the ground up.\n\nAzure and AI certification sponsorship plus a continuous learning budget.\n\nTechnical leadership pathway and mentorship opportunities.\n\nAccess to cutting-edge GenAI tooling, compute, and cross-domain AI projects.\n\nFlexible hybrid working model and collaborative culture.\n\nOur salary and benefits\nThe 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.\nAt Johnson Controls, your work comes with benefits that support both your career and your wellbeing.\n\nMeal vouchers fully covered by the company.\n\nFlexible benefits budget with access to 3,500+ options, including a MultiSport card, medical and wellness services.\n\nExtra savings through retail and lifestyle discounts (Benefit+).\n\nAllowance for the private kindergarten or nursery to support your family.\n\nFlexible working hours and home office days.\n\nAllowance for language courses, professional development support, and wellbeing support.\n\nOn site benefits: massages, distribution of fruits, yoga, psychologist, health month, various events with supporting groups (volunteering activities, branding activities).\n\nSeniority benefits - extra monthly financial allowance, medical care and support, wellbeing day.\n\nRelocation support with housing allowance if moving to Slovakia\n\nAbout Us\nJohnson 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.\nFor 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.\nWe 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.","description_format":"text","description_chars":7605,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Flexible schedule","Home office","Hybrid work","Professional development"],"hiring_locations":[{"name":"Slovakia","iso":"SK","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-08T08:26:52Z"}],"liveness":{"score":37,"band":"fade","label":"Fading","p_open":1,"p_active":0.673,"p_room":0.55,"age_days":37,"expected_fill_days":25,"reasons":["conf:20","velocity","win:tail","comp:brand"],"computed_at":"2026-10-02T05:45:00Z"},"pay":{"stated_usd_annual":58800,"is_top_pay":false},"html_url":"https://alion.io/job/johnsoncontrols-senior-data-scientist-agentic-ai-platform","json_url":"https://alion.io/job/johnsoncontrols-senior-data-scientist-agentic-ai-platform.json","meta":{"generated_at":"2026-10-03T01:15:53Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1165,"day_limit":5000,"remaining_today":3835,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}