Technical Product Manager, AI Infrastructure and Platform
MECA GROUP, INC.
Cloud
Director, Artificial Intelligence
Integer Holdings Corporation
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteJob Level
Lead
Tech Stack
Cloud
About the role
- Define and lead an enterprise-wide AI strategy aligned with business goals and regulatory frameworks
- Identify high-impact AI opportunities with measurable business value
- Collaborate with product development teams to embed AI into the product development lifecycle
- Champion the use of AI in process optimization and intelligent automation across the manufacturing footprint and all supporting functions
- Oversee pilot projects and proof-of-concepts to demonstrate AI value
- Collaborate with IT, data teams, and business units to integrate AI solutions into operations
- Oversee the selection and implementation of AI platforms, tools, and frameworks
- Partner with data teams to ensure data quality, availability, and governance for AI initiatives
- Advocate for scalable infrastructure to support AI workloads (e.g., cloud, MLOps)
- Build and lead an agile AI team in collaboration with cross-functional leaders; upskill internal talent through training and mentorship
- Foster a culture of innovation and experimentation
- Establish AI governance policies and frameworks to ensure responsible, transparent and ethical AI use
- Ensure AI systems meet stringent regulatory standards (e.g. FDA, MDR, ISO 13485)
- Monitor regulatory developments and ensure compliance with data and AI-related laws
- Act as a thought leader and internal evangelist for AI, educating executive leadership and cross-functional teams
- Partner with external research institutions, AI vendors, and regulatory bodies to stay ahead of emerging trends
Requirements
- Master’s in Computer Science, AI/ML, Data Science, Biomedical Engineering, or a related field
- 10+ years of experience in AI/ML leadership roles, ideally within regulated industries (medical devices, pharma, life sciences)
- Proven track record of delivering AI solutions at scale in manufacturing or product development environments
- Deep understanding of AI/ML technologies (including genAI & large language models), data platforms and cloud services
- Familiarity with regulatory and ethical considerations in AI for life sciences and medical devices
- Strong leadership, communication, and change management skills
- Preferred: Experience in a regulated industry (e.g., life sciences, finance, manufacturing)
- Preferred: Familiarity with AI ethics, fairness, and explainability frameworks
