Sr AI Manager

Sr. AI Manager

As a Sr. AI Manager at Solstice Advanced Materials, you will be part of the Information Technology team leading the delivery of end-to-end AI initiatives across the 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 report to our Director of Information Technology for Gen AI, Data & Analytics 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.

• Manage delivery and support operations for Gen AI and AI, supervising initiatives considering user needs, new capabilities, and technological 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, and AI Apps through experimentation and production life cycles with MLOPs, LLMOps, AI Gateway, and AI Observability tools.
• Accelerate Applied Gen AI initiatives by creating a rapid iteration loop from idea to execution in line with responsible AI principles. Guide and steer the Corporate AI Risk Council balancing risk, compliance, and speed for Gen AI adoption.
• Drive evaluation and 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 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 and Security to establish standards, frameworks, and reference implementations for complex AI systems, providing 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‑the‑art, enterprise‑ready AI solutions.

• 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.
• Prior experience with:
  • Azure AI Search, Qdrant, Postgres Vector or similar vector databases.

• Experience managing high‑performing engineering teams and mentoring junior engineers in complex technical environments.
• AI & Advanced Analytics:
  Hands‑on experience with AI/ML platforms (Azure OpenAI, Databricks, MLOps) and implementing enterprise‑scale machine learning solutions.
• Experience implementing end‑to‑end AI & Gen AI solutions, especially around:
  • RAG, Graph RAG systems or similar semantic search systems.
  • Preference alignment or supervised fine‑tuning of LLMs.
  • Large‑scale data preparation for training LLMs.
  • Experiment design or evaluation dataset creation for optimizing AI models.
  • Predictive, forecasting or time‑series AI/ML models.
  • AI/ML frameworks such as PyTorch, Tensor Flow or Scikit‑Learn.
  • AI Agent/Workflow frameworks such as Lang Chain, Lang Graph, CrewAI, OpenAI SDK, Semantic Kernel.
• Strong…