Top AI & Machine Learning Jobs

Lead design, procurement, and lifecycle management of on-prem AI infrastructure. Act as product owner translating data science needs into scalable compute, storage, networking, and accelerator platforms. Drive RFI/RFPs, architect high-performance systems for large-scale training and low-latency inference, define infrastructure standards, partner with MLOps/data science/security/governance, influence executives, and evaluate emerging AI infrastructure technologies.

Lead embedded AI transformation by partnering with business units to identify high-value opportunities, design and deploy production-ready AI assistants and multi-agent solutions, and coach teams to adopt AI-first practices. Build reusable playbooks, measure business outcomes, and scale capability through hands-on engagements, workshops, and train-the-trainer programs.

Embed with business units to identify and deliver production-ready AI assistants, agents, and orchestration frameworks. Lead discovery-to-deployment engagements, coach technical and non-technical teams, create reusable playbooks and reference architectures, and drive measurable adoption of AI-first workflows across the enterprise.

Lead embedded AI transformation by partnering with business units to identify high-value use cases, design and deploy production-grade AI agents and assistants, and train teams. Build repeatable architectures, playbooks, and training to scale AI adoption, measure business impact, and develop internal champions.

Lead project and program management for Finance AI initiatives, establishing governance, intake/prioritization, delivery plans, executive reporting, risk and benefits tracking, stakeholder alignment, and value realization across cross-functional teams.

Embed with business units to identify high-value AI opportunities, design and deploy production-ready AI assistants and multi-agent systems, and coach teams to adopt AI-first workflows. Deliver reusable architectures, playbooks, and training while measuring adoption and business impact to scale capability across the organization.

Lead product strategy and execution for an enterprise AI platform (Agent Factory) to enable design, build, evaluation, deployment, monitoring, governance, and commercialization of AI agents. Manage a small product team, partner with engineering, security, legal and business stakeholders, embed responsible AI and governance controls, drive adoption and metrics, and prioritize platform investments to scale trusted, production-ready agents.

Embed with business units to identify high-value AI use cases, design and deploy production-ready AI assistants and multi-agent solutions, and coach teams to adopt AI-first workflows. Deliver measurable business outcomes, create reusable playbooks and training, and scale organizational capability through hands-on engagements and knowledge capture.

Lead embedded AI transformation by partnering with business units to design, build, and deploy production-grade AI assistants and multi-agent solutions, while training and mobilizing teams through hands-on engagement, playbooks, and scalable adoption frameworks that deliver measurable business outcomes.

Design and deliver scalable analytics and ML solutions for pricing and interchange strategy. Build data pipelines, predictive models, dashboards, and data products; run profitability, segmentation, forecasting, optimization analyses; present insights to leaders; mentor junior team members and partner with cross-functional teams to drive commercial decisions.