Top Artificial Intelligence Jobs

Serve as a business analyst and ATO support lead for VA OAA applications: gather and translate requirements, maintain ATO artifacts (SSP, POA&M, control narratives), support Section 508 compliance, update system documentation, track compliance status, and coordinate with stakeholders and data governance to sustain the VA umbrella ATO (FIPS 199 Moderate).

Recruit, prospect, and close net-new MSP partners within an assigned territory; run demos and presentations; hand off onboarded partners to Partner Success Managers; identify upsell opportunities; coordinate cross-functional advocacy and marketing enablement; maintain pipeline hygiene and meet quarterly MSP recruitment targets with significant field travel.

Manage a portfolio of finance SaaS customers to drive adoption, onboarding, training, retention, and measurable outcomes. Troubleshoot product and data issues, run business reviews, respond via Intercom, and partner with Product and Engineering to improve the customer journey.

Lead architecture and delivery for clinician and patient products, institutionalize AI-native development workflows (code generation, AI-assisted reviews, self-healing tests), drive engineering and product strategy, ensure reliability and scalability, and partner with cross-functional teams to translate clinical needs into technical solutions.

Work with pharma and biotech customers to design, prototype, and deploy production-grade AI systems on Owkin K. Build integrations, data pipelines and APIs, embed on-site with clients, iterate rapidly with users, mentor junior engineers, and feed field insights back into product roadmap while participating in on-call rotation.

Lead strategic client engagements in marketing effectiveness and analytics, oversee complex multi-workstream projects, manage account performance and profitability, drive business development and thought leadership, and mentor and develop teams of consultants and data scientists while contributing to internal innovation and operational improvements.

Build and evaluate machine learning and optimization models across the data science pipeline: acquire and assess data, engineer features, design algorithms, test and integrate models into products, collaborate with product and engineering, and communicate results to stakeholders.

Own day-to-day delivery as Technical Product Owner: translate business needs into clear user stories, run agile ceremonies, manage sprints and backlog, remove blockers, ensure QA readiness, and coordinate stakeholders to deliver predictable, high-quality engineering outcomes.

Lead budgeting, forecasting, and variance analysis for assigned entities; build and maintain 3-statement financial models; create executive reports and dashboards; partner with business leaders; apply AI and automation to finance workflows; manage CPM/ERP planning (OneStream/Adaptive/Dynamics); collaborate with Accounting on month-end close and GL integrity; drive process improvement and support strategic planning and financial analyses.

Lead mechanical design and commissioning for a microfactory, producing detailed 2D drawings, enforcing GD&T standards, performing FEA on fixtures and gantries, managing vendors, troubleshooting hardware on the factory floor, and mentoring junior engineers.