AIML Solution Architect – Data & Analytics

Glendale, WI - USA

Monthly Salary: Not Disclosed

Posted on: 21 hours ago

Vacancies: 1 Vacancy

Job Summary

Johnson Controls International (JCI) is seeking an AI/ML Solution Architect 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 AI/ML Solution Architect you will lead the development and deployment of scalable AI solutionsincluding those powered by LLMsto accelerate digital transformation across our products operations and customer experiences. Youll play a critical role in shaping JCIs data science strategy mentoring teams and driving the use of AI to deliver measurable business value.

How you will do it

Solution Architecture & System Design

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.

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 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.

Qualifications & Experience

Education in Data Science Artificial Intelligence Computer Science or related quantitative discipline.

5 years of hands-on experience in data science including at least 12 years working with LLMs or generative AI technologies.

Demonstrated success in deploying machine learning and NLP solutions at scale.

Proven experience with cloud AI platformsespecially Azure OpenAI Azure ML Hugging Face or AWS Bedrock.

Technical Expertise

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.

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.

HIRING SALARY RANGE: $112000 - 150000 (Salary to be determined by the education experience knowledge skills andabilities of the applicant internal equity location and alignment with market data.) This role offers acompetitive Bonus plan that will take into account individual group and corporate performance. Thisposition includes a competitive benefits package. For details please visit the About Us tab on the JohnsonControls Careers site at Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race color religion sex national origin age protected veteran status genetic information sexual orientation gender identity status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate visit EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process please visit here.