Senior AI Engineer

Johnson Controls International (JCI) is seeking a **Senior AI Engineer- Data Analytics** 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. As this is a Cork-based hybrid role requiring attendance in the office three days per week, candidates who are not currently based in Cork or the surrounding area would be expected to relocate. **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. **What we look for** * 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. #LI-Hybrid #GOSIA