Senior AI Engineer

Johnson Controls International (JCI) is seeking a Senior AI Engineer to join our innovative and impact-driven Data Science and Analytics team. This role is ideal for a seasoned expert with a deep understanding of machine learning, AI, and cloud data platforms, and a strong grasp of the latest advancements in Generative AI and Large Language Models (LLMs).  

As a Senior AI Engineer, you will lead the development and deployment of scalable AI solutions—including those powered by LLMs—to accelerate digital transformation across our products, operations, and customer experiences. You'll play a critical role in shaping JCI’s AI engineering strategy, mentoring teams, and driving the use of AI to deliver measurable business value. 

How you will do it 

Advanced Analytics, LLMs & Modeling 

• Design and implement advanced machine learning models including deep learning, time-series forecasting, recommendation engines, and LLM-based solutions (e.g., GPT, LLaMA, Claude). 
• Develop use cases around enterprise search, document summarization, conversational AI, and automated knowledge retrieval using large language models. 
• Fine-tune or prompt-engineer foundation models (e.g., OpenAI, Azure OpenAI, Hugging Face) for domain-specific applications. 
• Evaluate and optimize LLM performance, latency, cost-effectiveness, and hallucination mitigation strategies for production use. 

Data Strategy & Engineering Collaboration 

• Work closely with data and ML engineering teams to integrate LLM-powered applications into scalable, secure, and reliable pipelines. 
• Contribute to the development of retrieval-augmented generation (RAG) architectures using vector databases (e.g., FAISS, Azure Cognitive Search). 
• Support the deployment of models using MLOps principles, ensuring robust monitoring and lifecycle management. 

Business Impact & AI Strategy 

• Partner with cross-functional stakeholders to identify opportunities for applying LLMs and generative AI to solve complex business challenges. 
• Lead workshops or proofs-of-concept to demonstrate value of LLM use cases across business units. 
• Translate complex model outputs, including those from LLMs, into clear insights and decision support tools for non-technical audiences. 

Thought Leadership & Mentorship 

• Act as an internal thought leader on AI and LLM innovation, keeping JCI at the forefront of industry advancements. 
• Mentor and upskill AI engineering team members in advanced AI techniques, including transformer models and generative AI frameworks. 
• Contribute to strategic roadmaps for generative AI and model governance within the enterprise. 

Qualifications & Experience 

• Education in Data Science, Artificial Intelligence, Computer Science, or related quantitative discipline. 
• 5+ years of hands-on experience in AI engineering, data science, or machine learning, including at least 1–2 years working with LLMs or generative AI technologies. 
• Demonstrated success in deploying machine learning and NLP solutions at scale. 
• Proven experience with cloud AI platforms—especially Azure OpenAI, Azure ML, Hugging Face, or AWS Bedrock. 

Technical Expertise 

• Proficiency in Python and SQL, including libraries like Transformers (Hugging Face), Microsoft Agent Framework, LangChain, PyTorch, and TensorFlow. 
• Experience with prompt engineering, fine-tuning, and LLM orchestration tools. 
• Familiarity with data storage, retrieval systems, and vector databases. 
• Strong understanding of model evaluation techniques for generative AI, including factuality, relevance, and toxicity metrics. 

Leadership & Soft Skills 

• Strategic thinker with a strong ability to align AI initiatives to business goals. 
• Excellent communication and storytelling skills, especially in articulating the value of LLMs and advanced analytics. 
• Strong collaborator with a track record of influencing stakeholders across product, engineering, and executive teams. 

Preferred Qualifications 

• Experience with IoT, edge analytics, or smart building systems. 
• Familiarity with LLMOps, LangChain, Semantic Kernel, or similar orchestration frameworks. 
• Knowledge of data privacy and governance considerations specific to LLM usage in enterprise environments. 

Johnson Controls does not request pregnancy or HIV testing as a condition for hiring, continued employment, or promotion, in accordance with its commitment to labor equality and non-discrimination.

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