{"id":2989372,"url":"https://alion.io/job/johnson-controls-sr-ai-engineer","title":"Sr. AI Engineer","company":{"id":448321,"name":"Johnson Controls","domain":"johnsoncontrols.com","url":"https://alion.io/company/johnsoncontrols-3","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":89,"open_postings":763,"ghost_share":0.001,"stale_share":0.633,"repost_share":0.013,"time_to_fill_p50_days":21,"computed_at":"2026-10-23T05:54:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Monterrey, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":37000,"max_usd":97000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2216},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"FAISS","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hallucination","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false},{"name":"Transformers","optional":false},{"name":"LLMOps","optional":true},{"name":"Semantic Kernel","optional":true}],"status":"live","first_seen_at":"2026-09-15T00:00:00Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-10-23T18:26:00Z","board_verified":true,"closed_at":null,"days_open":38,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":38},"description":"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).\nAs 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.\nHow you will do it\nAdvanced Analytics, LLMs & Modeling\nDesign and implement advanced machine learning models including deep learning, time-series forecasting, recommendation engines, and LLM-based solutions (e.g., GPT, LLaMA, Claude). \nDevelop use cases around enterprise search, document summarization, conversational AI, and automated knowledge retrieval using large language models. \nFine-tune or prompt-engineer foundation models (e.g., OpenAI, Azure OpenAI, Hugging Face) for domain-specific applications. \nEvaluate and optimize LLM performance, latency, cost-effectiveness, and hallucination mitigation strategies for production use. \nData Strategy & Engineering Collaboration\nWork closely with data and ML engineering teams to integrate LLM-powered applications into scalable, secure, and reliable pipelines. \nContribute to the development of retrieval-augmented generation (RAG) architectures using vector databases (e.g., FAISS, Azure Cognitive Search). \nSupport the deployment of models using MLOps principles, ensuring robust monitoring and lifecycle management. \nBusiness Impact & AI Strategy\nPartner with cross-functional stakeholders to identify opportunities for applying LLMs and generative AI to solve complex business challenges. \nLead workshops or proofs-of-concept to demonstrate value of LLM use cases across business units. \nTranslate complex model outputs, including those from LLMs, into clear insights and decision support tools for non-technical audiences. \nThought Leadership & Mentorship\nAct as an internal thought leader on AI and LLM innovation, keeping JCI at the forefront of industry advancements. \nMentor and upskill AI engineering team members in advanced AI techniques, including transformer models and generative AI frameworks. \nContribute to strategic roadmaps for generative AI and model governance within the enterprise. \nQualifications & Experience\nEducation in Data Science, Artificial Intelligence, Computer Science, or related quantitative discipline. \n5+ 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. \nDemonstrated success in deploying machine learning and NLP solutions at scale. \nProven experience with cloud AI platforms-especially Azure OpenAI, Azure ML, Hugging Face, or AWS Bedrock. \nTechnical Expertise\nProficiency in Python and SQL, including libraries like Transformers (Hugging Face), Microsoft Agent Framework, LangChain, PyTorch, and TensorFlow. \nExperience with prompt engineering, fine-tuning, and LLM orchestration tools. \nFamiliarity with data storage, retrieval systems, and vector databases. \nStrong understanding of model evaluation techniques for generative AI, including factuality, relevance, and toxicity metrics. \nLeadership & Soft Skills\nStrategic thinker with a strong ability to align AI initiatives to business goals. \nExcellent communication and storytelling skills, especially in articulating the value of LLMs and advanced analytics. \nStrong collaborator with a track record of influencing stakeholders across product, engineering, and executive teams. \nPreferred Qualifications\nExperience with IoT, edge analytics, or smart building systems. \nFamiliarity with LLMOps, LangChain, Semantic Kernel, or similar orchestration frameworks. \nKnowledge of data privacy and governance considerations specific to LLM usage in enterprise environments. \nJohnson 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 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