Johnson Controls · 2 hours ago
AI/ML Solution Architect – Data & Analytics
Milwaukee, WI
Full-time
Hybrid
Senior Level
$112K/yr - $150K/yr
5+ years expJohnson Controls International (JCI) is seeking an AI/ML Solution Architect to join their innovative and impact-driven Data Science and Analytics team. The role involves leading the development and deployment of scalable AI solutions to drive digital transformation and mentoring teams to leverage AI for business value.
Industrial EngineeringPhysical SecuritySmart Building
Responsibilities
Design comprehensive end-to-end AI/ML solution architectures for complex enterprise use cases, spanning data ingestion, feature engineering, model training, deployment, inference, and monitoring
Create and maintain reference architectures and reusable architectural patterns for GenAI applications, including retrieval-augmented generation (RAG), multi-agent systems, and multi-modal AI solutions
Architect scalable solutions that balance technical requirements, business constraints, timelines, and cost considerations
Lead architecture reviews and provide technical guidance on solution design to data science and engineering teams
Establish technical standards, best practices, and governance frameworks for AI/ML solution development across the organization
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
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
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
Act as an internal thought leader on AI and LLM innovation, keeping JCI at the forefront of industry advancements
Mentor and upskill data science 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
Qualification
Required
Education in Data Science, Artificial Intelligence, Computer Science, or related quantitative discipline
5+ years of hands-on experience in data science, 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
Proficiency in Python and SQL, including libraries like Transformers (Hugging Face), 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
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
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
Benefits
Competitive Bonus plan
Competitive benefits package
Company
Johnson Controls
Johnson Controls offers smart buildings that create safe, healthy, and sustainable environments.
10001+ employees
H1B Sponsorship
Johnson Controls has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (45)
2024 (57)
2023 (80)
2022 (95)
2021 (81)
2020 (93)
Funding
Current Stage
Public CompanyTotal Funding
$1.6BKey Investors
US Department of Energy
2024-12-05Post Ipo Debt· $250M
2024-12-04Post Ipo Debt· $525.61M
2024-05-20Post Ipo Equity· $90M
Leadership Team
Joakim Weidemanis
Chief Executive Officer
Marc Vandiepenbeeck
Executive Vice President and Chief Financial Officer
Recent News
altenergymag.com
2025-12-25
Company data provided by crunchbase