Product Owner

Role: Product Owner – Enterprise AI Platform (Agentic AI Safety & Security)

Location: Charlotte, NC ( Onsite)

Duration: Long Term Contract

Employment Type: W2 or 1099 Contract

Job Description

• We are seeking an experienced Product Owner / AI Solutions Consultant to lead the strategy and delivery of enterprise AI platform capabilities, focusing on Agentic AI safety, security, governance, and scalability.
• The ideal candidate will have experience delivering AI platform solutions, managing product roadmaps, and working with cloud technologies, AI engineering, cybersecurity, and enterprise stakeholders.

Key Responsibilities

• Lead enterprise AI initiatives and define platform strategy and roadmaps.
• Drive end-to-end platform delivery, from discovery and planning through implementation and adoption.
• Define and prioritize AI use cases, ensuring alignment with business objectives.
• Collaborate with engineering, cybersecurity, risk, compliance, and application teams.
• Drive AI governance, security, observability, and responsible AI capabilities.
• Support enterprise AI agent identity, registry, monitoring, evaluation, and behavior controls.
• Resolve implementation challenges and coordinate multiple stakeholders.

Required Qualifications

• 5+ years of experience in Artificial Intelligence solutions or related technologies.
• 2+ years of experience delivering platform capabilities end-to-end, including roadmap definition, delivery, and adoption.
• Hands-on experience with cloud platforms such as Azure or GCP.
• Experience with Docker and Kubernetes / OpenShift.
• Strong stakeholder management, communication, and technical leadership skills.

Preferred Qualifications

• Experience with Agentic AI systems, agent orchestration, planning, routing, and multi-step workflows.
• Knowledge of RAG and orchestrated agent workflows.
• Familiarity with MCP-style integrations and A2A communication models.
• Experience with enterprise APIs, connectors, identity management, and secure data access.
• Understanding of AI governance, security, compliance, auditability, and responsible AI.
• Experience building developer-centric platforms, SDKs, registries, and self-service solutions.