Ai Engineer

Johnson Controls is a global leader in thermal management, mission‑critical building systems, and energy efficiency. The company leverages advanced technology, lifecycle services, and a field‑centric organization to help customers reduce carbon emissions and improve operational resilience across a range of industries, including data centers, healthcare, and advanced manufacturing.

As an AI Engineer on the Data Science and Analytics team, you will own end‑to‑end delivery of AI projects—from data pipeline design to deployed applications. You will partner with cross‑functional stakeholders, guide junior engineers, and deliver measurable business value through Generative AI and LLM‑powered solutions.

• Generative AI Systems & Applications: Design, develop, and deploy Generative AI and LLM applications (e.g., GPT, Claude, LLaMA) for use cases such as enterprise search, document summarization, and conversational AI. Apply prompt engineering, fine‑tuning, and orchestration to adapt foundation models to domain‑specific needs. Build agentic workflows and task‑specific AI agents using Palantir AIP or the Microsoft Agent Framework. Evaluate and improve model outputs for accuracy, relevance, latency, and cost.
• Data, ML & Software Engineering: Build and maintain data pipelines that feed AI systems—ingestion, transformation, and ETL across structured and unstructured sources (Snowflake, Azure). Develop and operate ML pipelines and MLOps workflows—training, evaluation, deployment, and monitoring—using CI/CD, Docker, and model serving. Create reusable components, services, and APIs around AI models. Implement retrieval and embedding workflows (RAG, vector databases) for scalable knowledge retrieval.
  
  Apply software engineering best practices—testing, version control, and code review.
• Business Impact & Stakeholder Communication: Translate business challenges into AI solutions and lead workshops and proof‑of‑concepts that demonstrate the value of LLM and agent use cases. Communicate model outputs, data findings, and technical trade‑offs to non‑technical audiences.
• Mentorship &
  
  Collaboration:
  
  Guide junior engineers on technical problems and code quality. Contribute to design discussions and technical decisions. Share knowledge and elevate engineering and data science practices within the team.

• Education in Computer Science, Software Engineering, Data Engineering, Data Science, or related quantitative discipline.
• 2–5 years of experience in software, data, ML engineering, or data science, including hands‑on work with LLMs or generative AI.
• Demonstrated success delivering production data or ML pipelines and AI/ML solutions.
• Experience with cloud AI platforms (Azure OpenAI/Azure ML, AWS Sage Maker/Bedrock, Google Vertex AI).
• Strong proficiency in Python and SQL with solid software engineering habits—testing, version control, clean code.
• Hands‑on experience with the generative AI stack: prompt engineering, fine‑tuning (LoRA), LLM orchestration, and agent frameworks (Lang Chain, Semantic Kernel, Microsoft Agent Framework).
• Experience building ETL and ML pipelines and applying MLOps practices (CI/CD, Docker, model serving).
• Familiarity with data science libraries and workflows—pandas, scikit‑learn, and model evaluation.
• Experience with JCI’s stack—or similar platforms—including Palantir AIP, Azure ML, Microsoft Agent Framework, Power Automate, and Snowflake.
• Working knowledge of embeddings, vector databases, and retrieval systems.
• Ability to own projects, communicate progression, risks, and trade‑offs clearly; strong collaboration skills; self‑directed problem solver.
• Preferred:
  IoT or smart building systems experience; familiarity with LLMOps, Lang Chain, Semantic Kernel, or similar frameworks; data science depth (statistical modeling, experimentation, deep learning);
  Microsoft ecosystem proficiency; knowledge of data privacy and governance for enterprise LLM usage.

• Competitive salary ($85,000‑$110,000, commensurate with education, experience, and skills)
• Paid vacation, holidays, and sick time
• Comprehensive benefits package—including 401K, medical, dental, and vision care
• On‑t…