Senior AI Implementation Program Manager

Bridgewater, United States | Posted on 09/09/2026

Axiom Path is an AI-first recruiting and staffing firm delivering RPO, MSP, and direct-hire solutions to enterprise clients across the U.S. Our team of experienced recruiters, supported by purpose-built automation, moves faster and communicates better so clients get qualified talent sooner and candidates get a clear, responsive process from first contact to start date.

Join an enterprise technology organization that is making a significant investment in AI agents and intelligent automation across business applications. The team is expanding an internal AI platform and rolling out practical agent-based capabilities designed to improve how work is performed across multiple enterprise functions.

This role will partner closely with enterprise application leaders, business stakeholders, technical teams, and an experienced AI implementation partner to move defined AI-agent use cases from development through rollout. The environment is evolving from more traditional delivery methods toward a faster Agile model, creating an opportunity for someone who can bring structure, momentum, and strong execution to emerging-technology initiatives.

• Primarily remote opportunity with onsite collaboration in Bridgewater, New Jersey approximately 2–3 times per month
• Initial contract expected to run for approximately six months, with potential for extension based on performance and continued AI-agent roadmap
• Engagement: W2 only (no C2C/1099)
• Initial ownership of two AI-agent implementations, with scope expected to expand to approximately four concurrent agents
• High visibility with Enterprise Applications leadership, PMO partners, technical stakeholders, and external implementation teams
• Opportunity to help shape a repeatable delivery model for future enterprise AI-agent initiatives

• Drive delivery of multiple AI-agent initiatives from defined requirements through development, testing, implementation, rollout, and transition to support.
• Initially manage two concurrent AI-agent implementations, with scope expected to grow to approximately four as the roadmap expands.
• Lead delivery using Agile methods, including daily Scrum meetings, sprint planning, backlog refinement, sprint reviews, demonstrations, retrospectives, and iterative feedback cycles.
• Maintain clear delivery plans, milestones, sprint goals, dependencies, resources, risks, issues, decisions, actions, and accountable owners.
• Partner with internal Enterprise Applications teams and external AI implementation partners to maintain momentum and delivery accountability.
• Coordinate work across architecture, integrations, data, cloud/infrastructure, cybersecurity, privacy, governance, and business stakeholders.
• Identify blockers, technical dependencies, resource constraints, and delivery risks early and drive them toward timely resolution.
• Translate defined business outcomes into actionable delivery plans, backlogs, user stories, technical tasks, and measurable success criteria.
• Hold internal teams and external vendors accountable for sprint commitments, deliverables, timelines, and agreed decisions.
• Support testing, production readiness, deployment, cutover, hypercare, and transition-to-support activities.
• Provide concise, action-oriented updates to leadership, PMO stakeholders, technical teams, and business sponsors.
• Step into delivery gaps when needed rather than operating within a narrowly defined project-management role.
• Help continuously improve the operating model used to deliver future AI-agent initiatives.

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