AI Engineering Manager

Job Description As an AI Engineering Manager at Solstice, you will play a pivotal role in driving AI initiatives across various business functions using multiple technology platforms. You will translate cutting-edge AI & Automation 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 IT, AI, Analytics & Automation who oversees our enterprise data strategy, delivery and platform operations.

This position is ideal for a strategic thinker & doer who can bring automation, process optimization and Agentic AI together driving digital transformation to new frontiers by moving from insights to action with AI/ Gen AI advances.

You will work out of the Morris Plains, NJ location. Responsibilities You will identify new opportunities for Automation by analyzing business processes, develop new automation solutions, ensure the successful execution of automation bots & AI agents and enhance operational efficiency. This role will significantly impact our automation strategy by bridging technical capabilities with business needs.

Qualifications KEY RESPONSIBILITIES

• Technical Expertise & Delivery: 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.
• Service Delivery Leadership: 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.
• Own Speed to Delivery: 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
• Cross-Functional Collaboration: 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.
• Raise the AI Bar: 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.

YOU MUST HAVE

• 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.

WE VALUE

• 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 pi…