Sr AI Engineer

Job Title: Senior AI Engineer – Data & Analytics Johnson Controls International (JCI) is seeking a Senior AI Engineer to join our Data Science and Analytics team. This role is ideal for an experienced AI engineering leader with deep expertise in machine learning, cloud data platforms, generative AI, and large language models (LLMs). As a Senior AI Engineer, you will lead the architecture, development, and deployment of scalable AI solutions that accelerate digital transformation across JCI products, operations, and customer experiences. You will set technical direction, establish engineering standards, mentor engineers, and ensure solutions are secure, reliable, cost-effective, and production-ready. How You Will Do It Advanced Analytics, LLMs & Modeling Design, build, and deploy advanced AI and machine learning solutions, including deep learning, time-series forecasting, recommendation engines, NLP, and LLM-based applications. Develop enterprise use cases such as document intelligence, enterprise search, summarisation, conversational AI, automated knowledge retrieval, and decision-support tools. Apply prompt engineering, fine-tuning, retrieval-augmented generation, and model orchestration techniques to solve domain-specific business problems. Evaluate and optimise AI systems for quality, factuality, latency, cost, scalability, safety, and production reliability. Architecture, Data Strategy & Engineering Collaboration Define end-to-end architecture and technical direction for complex AI systems across multiple products and initiatives. Collaborate with data engineering, ML engineering, platform, product, security, and business teams to integrate AI solutions into scalable and reliable enterprise pipelines. Contribute to RAG architectures using enterprise search, vector databases, embeddings, and secure data-access patterns. Apply MLOps and LLMOps practices for deployment, monitoring, evaluation, governance, lifecycle management, and continuous improvement. Establish engineering standards, reusable patterns, and design-review practices for AI solution delivery. Business Impact & AI Strategy Partner with stakeholders to identify, prioritise, and deliver high-value AI and generative AI opportunities across the enterprise. Lead discovery workshops, proofs of concept, and production pilots that demonstrate measurable business value. Translate complex model outputs, technical trade-offs, risks, and delivery dependencies into clear recommendations for technical and non-technical audiences. Influence AI product and platform roadmaps by converting business priorities into practical technical strategies and sequenced delivery plans. Lead major AI initiatives from discovery through production adoption, coordinating delivery across product, platform, data, security, and business teams. Thought Leadership & Mentorship Act as an internal thought leader on AI, LLMs, and emerging engineering practices, helping JCI stay aligned with industry advancements. Mentor and upskill engineers in advanced AI techniques, architecture decisions, code and design reviews, evaluation methods, and production-readiness practices. Contribute to strategic roadmaps for generative AI, model governance, responsible AI, observability, and operational resilience. Drive continuous improvement in engineering quality, delivery predictability, maintainability, and long-term platform scalability. Qualifications & Experience Degree or equivalent experience in Data Science, Artificial Intelligence, Computer Science, Engineering, or a related quantitative discipline. 7+ years of hands-on experience in AI engineering, data science, or machine learning, including experience leading the architecture and production delivery of complex AI solutions. At least 2 years of practical experience with LLMs, generative AI, RAG, or related foundation-model technologies. Demonstrated success deploying machine learning, NLP, or LLM-powered solutions at enterprise scale. Experience