Senior Data Scientist — GenAI Platform Architect (Hybrid)

Johnson Controls; Lisboa; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Azure certification sponsorship

Continuous learning budget

Technical leadership pathway

Mentorship opportunities

Hybrid work model

Job summary

Johnson Controls is seeking a Senior Data Scientist to help build an Agentic AI Platform that plans, reasons, and executes complex business workflows end-to-end. You will architect production-grade agentic solutions, mentor junior team members, and set technical direction for GenAI initiatives across the organization.

The role requires strong ML fundamentals, hands-on experience with LLM-based applications, and expertise with Azure cloud services, multi-agent orchestration, and data platforms.

Qualifications

• Professional experience in data science/ML with production-grade LLM/GenAI apps.
• Hands-on experience with 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 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, 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, 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/GenAI production

LangChain/LangGraph

Prompt engineering

Python

Pandas

NumPy

Scikit-learn

Async programming

FastAPI

Vector databases

Azure AI Search

Pinecone

Weaviate

Qdrant

FAISS

pgvector

SQL

Tools

Azure cloud services

Azure OpenAI

LangGraph

Job description

Johnson Controls is seeking a Senior Data Scientist to help build an Agentic AI Platform that plans, reasons, and executes complex business workflows end-to-end. You will architect production-grade agentic solutions, mentor junior team members, and set technical direction for GenAI initiatives across the organization.

The role requires strong ML fundamentals, hands-on experience with LLM-based applications, and expertise with Azure cloud services, multi-agent orchestration, and data platforms.