Sr AI Manager

As a Sr. AI Manager at Solstice Advanced Materials, you will be a part of IT team leading delivery of end-to-end AI initiatives across enterprise for GenAI & Classic AI/ML solutions while ensuring responsible AI and data engineering best practices. You will establish robust governance frameworks for AI applications through their entire lifecycle, leveraging MLOps, LLMOps, and observability tools to balance innovation with risk management. You will translate cutting-edge AI research into practical enterprise solutions while collaborating with technical and business teams to maximize AI’s transformative impact on operational efficiency and strategic outcomes. You will work out of the Morris Plains, NJ location .

You will report to our Director Information Technology of Gen AI, Data & Analytics Leader who oversees our enterprise data strategy, delivery and platform operations at the Morris Plains, NJ location.

This senior leadership role will drive enterprise-wide AI adoption, balancing innovation with responsible governance to deliver measurable business value across Solstice Advanced Materials.

About Solstice Advanced Materials

Solstice Advanced Materials is a leading global specialty materials company that advances science for smarter outcomes. Solstice offers high-performance solutions that enable critical industries and applications, including refrigerants, semiconductor manufacturing, data center cooling, nuclear power, protective fibers, healthcare packaging and more. Solstice is recognized for developing next-generation materials through some of the industry’s most renowned brands such as Solstice®, Genetron®, Aclar®, Spectra®, Fluka™, and Hydranal™. Partnering with over 3,000 customers across more than 120 countries and territories and supported by a robust portfolio of over 5,700 patents, Solstice’s approximately 4,000 employees worldwide drive innovation in materials science. For more information, visit Advanced Materials .

KEY RESPONSIBILITIES

• Manage delivery and support operations for Gen AI and AI, supervising AI initiatives considering user needs, new capabilities, and tech advancements.
• Oversee Gen AI, Classical AI, Data Science and Automation initiatives across Enterprise functions such as Supply Chain, Finance, Commercial, Customer Experience, Legal, HR and others.
• Manage and govern AI, GenAI models, AI Apps through experimentation and production lifecycles with MLOPs, LLMOps, AI Gateway and AI Observability tools.
• Accelerate Applied Gen AI Initiatives with creating a rapid iteration loop from idea to execution in line with responsible AI principles. Guide and steer Corporate AI Risk Council balancing risk, compliance and speed for Gen AI adoption.
• Drive evaluation & observability first mindset bringing Gen AI reliability to the center stage. Strategize around creating a robust data flywheel ensuring a roadmap for continuous learning systems.
• Effectively use Gen AI to drive efficiency and optimization throughout the enterprise ecosystem. Collaborate with fellow Data Engineers and Analysts ensuring Data, Analytics and AI strategies share a common vision.
• Provide technical guidance on AI portfolio & strategy, effort sizing & estimation, as well as build vs buy vs wait decisions.
• Effectively communicate by simplifying AI concepts for a diverse range of stakeholders.
• Collaborate with Enterprise Architecture, Security to help establish standards, frameworks and reference implementations for compound AI systems bringing clarity on classification aware data use and safe AI/Gen AI practices.
• Translate and align key research advancements in AI into actionable strategy for Solstice Advanced Materials, pushing the envelope with state of art, enterprise ready AI solutions.

YOU MUST HAVE

• A master’s degree or PhD in Computer Science, Engineering, Applied Mathematics or related field.
• Minimum 10 years of progressive experience in AI and Analytics, with a demonstrated track record of production grade enterprise-scale application development.
• Expert-level proficiency in Python, SQL with hands-on knowledge of modern data engineering tools and practices.
• Foundational understanding of AI concepts like Self-attention, Transformer architecture, Reinforcement Learning with Human Feedback, Deep Learning, MCP etc.
• Prior experience with:
• Azure AI Search, Qdrant, Postgres Vector or similar vector databases.

WE VALUE

• Experience managing…