AI Delivery Program Lead: ML, MLOps & Cloud Platforms

Pharmavite; California; On-site; USD 156,000 - 260,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401K match

Wellness benefits

Job summary

Pharmavite is seeking a seasoned AI/ML Project & Program Manager to lead end-to-end AI/ML initiatives across cross-functional teams. You will plan, deploy, and operate AI solutions while coordinating resources and managing risks to achieve strategic business outcomes.

The role demands strong knowledge of AI/ML, cloud environments, data governance, and MLOps, with a focus on collaboration with IT and product stakeholders.

Qualifications

• Bachelor’s degree in Information Systems, Computer Science, Engineering or related field; 7+ years in program management, technical product management, AI/analytics delivery, engineering or equivalent experience.
• Experience in product/program management with direct AI/ML solution delivery and ability to manage complex delivery programs across data and engineering teams.
• Technical fluency in cloud & data platforms delivering projects involving Azure Data Services; hands-on with MLOps and CI/CD for AI/ML solutions.

Responsibilities

• Lead end-to-end AI/ML project delivery from planning to deployment and operations.
• Coordinate sprint plans, resource allocations, and ensure on-time, on-budget execution.
• Apply Agile, MLOps, and CI/CD best practices and align with IT governance and security standards.

Skills

AI/ML project management

Agile methodologies

MLOps

CI/CD

Stakeholder management

Cloud platforms

Data governance

Education

Bachelor’s degree in Information Systems, Computer Science, Engineering or related field

Tools

Azure Data Services

CI/CD pipelines

Job description

Pharmavite is seeking a seasoned AI/ML Project & Program Manager to lead end-to-end AI/ML initiatives across cross-functional teams. You will plan, deploy, and operate AI solutions while coordinating resources and managing risks to achieve strategic business outcomes.

The role demands strong knowledge of AI/ML, cloud environments, data governance, and MLOps, with a focus on collaboration with IT and product stakeholders.