Senior Data Scientist, Agentic AI Platform Lead (GenAI)

Johnson Controls, Inc.; Lisboa; Hybrid; EUR 110,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Greenfield platform ownership

Azure certification sponsorship

Mentorship opportunities

Access to GenAI tooling

Flexible hybrid working

Job summary

Johnson Controls, Inc. is seeking a Senior Data Scientist to lead the development of an agentic AI platform. You will design multi-agent systems, implement RAG pipelines, and integrate with enterprise APIs on Azure.

The role requires deep ML expertise, hands-on GenAI experience, and strong Python skills. This position offers a flexible hybrid work model and opportunities to drive GenAI initiatives company-wide.

Qualifications

• 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.

Responsibilities

• 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.

Skills

LLM or GenAI apps in prod

LangChain

LangGraph

Prompt engineering

Python

Vector databases

SQL

Tools

Azure cloud services

FAISS

pgvector

Pinecone

Weaviate

Job description

Johnson Controls, Inc. is seeking a Senior Data Scientist to lead the development of an agentic AI platform. You will design multi-agent systems, implement RAG pipelines, and integrate with enterprise APIs on Azure.

The role requires deep ML expertise, hands-on GenAI experience, and strong Python skills. This position offers a flexible hybrid work model and opportunities to drive GenAI initiatives company-wide.