Sr AI Manager

Solstice Advanced Materials•Morris Plains, NJ

3d•$201,063 - $251,622•Onsite

About The Position

Solstice Advanced Materials is seeking a Sr AI Manager to serve as a versatile hands-on subject matter expert across AI/Gen AI technologies. This role involves a comprehensive understanding of both technical processes and business operations to deliver enterprise-grade solutions. The manager will implement MLOps/LLMOps, Cloud DevSecOps practices, and package AI solutions for production. Key responsibilities include leading the design, build, and implementation of enterprise AI Systems, overseeing Gen AI, Classical, and Automation initiatives across various enterprise functions, and owning the speed of delivery for Applied AI Initiatives. This includes creating a rapid iteration loop from idea to execution in line with responsible AI principles, guiding the Corporate AI Risk Council, and driving an evaluation & observability-first mindset for Gen AI reliability. The role also involves strategizing around creating a robust data flywheel for continuous learning systems and partnering across business, technology, architecture, and security teams to deliver secure, scalable AI solutions. Additionally, the Sr AI Manager will develop practical standards and guidance for responsible AI adoption and translate key research and engineering advancements into actionable strategy for Solstice Advanced Materials.

Requirements

Minimum 8 years of progressive experience in AI solution delivery, with a demonstrated impact across multiple functional domains.
Strong understanding of core AI concepts, including both foundational principles and hands-on practical applications with demonstrated experience of productionizing enterprise grade solutions.
Proficiency in multiple AI/ML & Automation tools such as Azure AI / Microsoft Foundry, Databricks, Cognitive services & Bot frameworks, Microsoft Power Platform, Workato, OutSystems, Automation Anywhere or similar, with a strong understanding of AI concepts and their application in automation.
Experience integrating with enterprise platforms such as SAP, SFDC, HCM and other similar enterprise applications to create seamless AI & automation solutions.
Proven track record in developing, architecting end-to-end AI & Automation solutions that integrate multiple systems and deliver measurable business value.

Nice To Haves

Python experience for AI/ML workflows strongly preferred.
Experience building agent-based systems with tool use, reasoning workflows, and API orchestration.
Experience developing AI applications with LLM integrations, prompt engineering, and orchestration frameworks.
Solid understanding of AI security practices including RBAC/ABAC, audit logging, and prompt-level safeguards.
Experience optimizing vector databases and semantic search technologies for large datasets.
Experience with compound AI architectures, retrieval pipelines, and Azure/Databricks DevOps or MLOps practices.
Experience integrating AI solutions into enterprise channels such as Teams, Web Chat, or Direct Line.
Ability to quickly understand new functional domains, technical environments, business processes, and requirements, and translate them into effective automation solutions.
Exceptional analytical thinking and creative problem-solving skills in complex technical and business contexts.
Ability to translate AI technical concepts for audiences at various levels.
Ownership and Pride in your work and willingness to work in a diverse, cross-functional environment.
Attention to detail.
Proven ability to partner with diverse stakeholders, identify automation improvements, and understand data needs across discrete and continuous manufacturing processes.
Experience of working closely with managed services providers to ensure effective support and management of automation processes.
Prior publication record in top tier journals or conferences such as NeurIPS, AAAI, EMNLP, MICA or similar.

Responsibilities

Serve as a versatile hands-on subject matter expert across AI/ Gen AI technologies with a comprehensive understanding of both technical processes and business operations to delivery enterprise grade solutions.
Implement the MLOps/LLMOps, Cloud DevSecOps practice & package AI solutions for production.
Lead the design, build, and implement enterprise AI Systems that meet complex business requirements while ensuring scalability, performance, and alignment with enterprise objectives.
Oversee Gen AI, Classical and Automation initiatives across Enterprise functions such as Supply Chain, Finance, Commercial, Customer Experience, Legal, HR and others.
Accelerate Applied AI Initiatives by creating a rapid iteration loop from idea to execution in line with responsible AI principles.
Guide and technically 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.
Partner across business, technology, architecture, and security teams to identify automation opportunities and deliver secure, scalable AI solutions.
Develop practical standards and guidance for responsible, classification-aware AI and Gen AI adoption.
Translate and align key research & engineering advancements in AI into actionable strategy for Solstice Advanced Materials, pushing the envelope with state of art, robust & reliable enterprise ready AI solutions.