Remote Senior AI Delivery Lead

Bridgewater, United States | Posted on 10/09/2026

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 making a significant investment in AI agents and intelligent automation across business applications. The team is expanding an internal AI ecosystem and rolling out practical agent-based capabilities that support multiple functions across a highly regulated life-sciences environment.

This role will work 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 deployment and operational adoption. The environment combines fast, iterative delivery with the governance, validation, security, and quality expectations of a regulated organization.

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

Exposure to AI delivery within a highly regulated pharmaceutical / life-sciences environment

Drive delivery of multiple AI-agent initiatives from defined requirements through development, testing, implementation, deployment, hypercare, 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 delivery momentum and accountability.

Coordinate work across architecture, integrations, data, cloud/infrastructure, cybersecurity, privacy, AI governance, quality, and business stakeholders.

Ensure regulated delivery requirements, governance checkpoints, testing, documentation, approvals, and production controls are incorporated into project execution.

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 SIT, UAT, defect management, production readiness, cutover, deployment, 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…