Top Artificial Intelligence Project Management Jobs

Manage the integrated master schedule and PMO processes for an enterprise IT services program supporting the Department of State. Coordinate project tracking, documentation, operational requirements, deployment timelines, and priorities across government representatives, Product Teams, and Enterprise Operations. Facilitate collaboration throughout the product lifecycle, maintain management tools and processes, and support program deliverables and customer mission objectives.

Lead and scale the federal proposal function, managing complex IDIQ, BPA, task order, and GWAC proposals from pre-RFP through submission. Oversee proposal managers and coordinators, develop schedules and compliance matrices, conduct color team reviews, ensure FAR and Section L/M compliance, and deliver high-quality submissions on time. Partner with Capture, Business Development, Solutions, Pricing, and executives on bid decisions, win strategies, discriminators, executive summaries, and oral presentations.

Manage customer-facing software and AI delivery projects from initiation through closure. Build project plans, coordinate technical and business teams, communicate status and risks to enterprise customers and executives, support escalations, and improve PMO practices. The role also involves mentoring team members, evaluating AI use cases and data readiness, tracking AI-specific risks, and setting realistic expectations for conversational AI and generative AI deployments.

Leads large-scale AI transformation programs for Cresta’s strategic enterprise customers. Serves as executive sponsor and trusted advisor to C-suite stakeholders, manages matrixed implementation and engineering teams, oversees complex deployments, standardizes delivery governance, and drives measurable customer value, adoption, expansion, and advocacy. Partners with Sales, Customer Success, Product, and Engineering while connecting technical outcomes to business ROI.

Leads cross-functional operational projects across vehicle transactions, from auction through delivery and payment. Identifies bottlenecks, analyzes performance data, designs scalable workflows, establishes metrics, coordinates stakeholders, and implements process improvements. The role translates operational needs into product and engineering requests, supports new process and market rollouts, and grows toward ownership of a key business function.

Support the Head of Open Science by managing initiatives, workflows, documentation, policy implementation, external proposal intake, stakeholder relationships, events, hiring support, and team onboarding. The role coordinates internal and external stakeholders, screens open science opportunities, prepares leadership materials, tracks decisions, and improves operational processes. It requires strong project management, communication, discretion, and familiarity with open science ecosystems.

Lead high-priority customer deployments from contract signing through adoption and ROI. Build repeatable deployment playbooks, manage customer and technical stakeholders, hire and coach Deployment Strategists, improve delivery systems, and partner with Product and Engineering to scale AI deployments for manufacturing customers.

Lead strategic projects for AI data solutions, managing client relationships, specialized expert teams, dataset specifications, and end-to-end execution. Coordinate contributors across technical and professional domains while supporting operational initiatives that influence foundation model training and evaluation. The role requires advanced STEM expertise, quantitative reasoning, scientific research experience, strong leadership, entrepreneurial initiative, and familiarity with data-analysis programming and LLM workflows.

Own end-to-end Fortune 500 enterprise software deployments from SOW signature through implementation, go-live, change management, value realization, and expansion. Coordinate Product, Engineering, AI, Operations, Sales, and client stakeholders; translate technical complexity into operational outcomes; define ROI and success metrics; lead executive alignment and QBRs; convert bespoke delivery work into scalable playbooks, dashboards, and templates; and communicate customer insights to influence product priorities.

Own customer-facing project delivery from lease execution through Ready for Service across design, engineering, procurement, construction, commissioning, change management, and closeout. Serve as the central coordinator among customers, internal teams, and contractors; assess project impacts, manage risks and approvals, lead customer meetings, maintain project records, and transition completed projects to Asset Management.