Top Artificial Intelligence Jobs

Prepares compensation and benefits budgets, forecasts, accruals, journal entries, financial reports, balance sheet reconciliations, headcount reports, and audit support. Coordinates with HR Total Rewards teams, benefits vendors, consultants, and actuaries. Processes benefits invoices, performs ad hoc analytics, supports accounting close under US GAAP, and contributes to process improvement and leadership reporting.

Lead Microsoft Services sales for State, Local Government, and Education customers. Build executive relationships, develop account and territory plans, generate and close complex consulting and support opportunities, manage renewals and expansions, maintain pipeline forecasts, and coordinate Microsoft teams, partners, legal, finance, delivery, and customer success. Apply public-sector procurement expertise and technology knowledge to connect customer missions with cloud, AI, security, data, business application, consulting, and support solutions.

Leads Microsoft Services sales for state, local government, and education customers. Owns account planning, opportunity development, consultative solution shaping, forecasting, negotiation, closing, renewals, and expansions. Builds executive relationships, navigates public-sector procurement, develops territory strategies, and coordinates Microsoft teams, partners, consulting, delivery, legal, finance, and customer success resources. Positions cloud, AI, security, data, business applications, consulting, and support services around customer mission outcomes and long-term adoption.

Leads engineering teams delivering enterprise AI, intelligent automation, document intelligence, and workflow platforms. Owns technology strategy, platform modernization, architecture, delivery, reliability, security, compliance, risk management, budgets, and operational excellence. Develops engineering talent, manages stakeholders, drives Agile and modern engineering practices, and translates emerging AI capabilities into scalable business outcomes.

Leads enterprise business solutions, applications, ERP, data analytics, AI, innovation, asset data, and technology portfolio management. Aligns technology and data strategies with business goals, prioritizes investments, strengthens governance, oversees analytics and decision-support models, and drives digital transformation. Builds high-performing leadership teams and partners with senior stakeholders to deliver measurable business value, operational excellence, and reliable technology capabilities for the electric grid.

Leads USAA Life Insurance Company's risk management framework across enterprise, operational, model, data, and AI risk. Oversees risk governance, regulatory compliance, risk appetite, controls, operational resilience, and model validation while advising senior leaders. Builds high-performing teams, modernizes and simplifies risk programs, partners across business, Finance, Compliance, and Legal, and ensures alignment with life insurance regulations, NAIC frameworks, solvency requirements, and strategic objectives.

Lead the Artifacts product roadmap for AI-generated deliverables, including executive summaries, insight-generating documents, and interactive experiences. Collaborate with engineering, design, research, customers, and partners to establish evaluation and launch criteria, convert custom deliverables into reusable templates, debug model reasoning failures, identify platform gaps, measure adoption, trust, and quality, and present product strategy to executives.

Drives enterprise sales of Intel-based products and solutions by building relationships with senior business and technical leaders. Leads account planning, upselling, cross-selling, tenders, forecasting, and strategic customer initiatives. Advocates Intel architecture across on-premise, hybrid, and public cloud environments, collaborates with partners and internal teams, gathers customer feedback, and supports joint marketing efforts to increase revenue and customer satisfaction.

Own the vision, strategy, roadmap, backlog, governance, and adoption model for reusable AI and Pega platform services. Partner with product, business, engineering, architecture, data, risk, security, and control teams to convert recurring needs into scalable APIs and platform capabilities. Balance innovation with reliability, technical debt, lifecycle management, and compliance. Measure success through platform adoption, reuse, business value, customer outcomes, and improved application-team velocity.

Owns the vision, strategy, roadmap, and backlog for reusable AI platform and Pega services supporting multiple business applications. Partners with product, business, engineering, architecture, data, risk, and security teams to develop scalable platform capabilities, APIs, governance standards, service catalogs, and adoption models. Balances innovation with reliability, technical debt, lifecycle management, security, regulatory requirements, and platform health. Measures success through adoption, reuse, business value, customer outcomes, and improved application-team velocity.

Leads Intelligence, Reporting, and AI product teams; defines product strategy, vision, and roadmaps; manages and coaches Product Managers; uses customer research, metrics, market analysis, and emerging technologies to guide decisions; and partners with Engineering, Design, Sales, Support, executives, investors, and restaurant customers to deliver impactful products.

Leads technical strategy and architectural design for complex federal government bids, including RFI and RFP responses. Coordinates solution architects and subject matter experts, integrates technology assets and accelerators, develops technical narratives, creates architectural diagrams, and presents solutions to executives and evaluators. The role uses broad cloud, cybersecurity, data, AI, application development, DevSecOps, and infrastructure expertise to differentiate proposals and improve win rates.

Serves as the definitive technical authority for a complex missile defense program. Leads multidisciplinary engineering teams through system design, development, integration, testing, and delivery while managing technical performance, cost, and schedule. Advises program leadership and interfaces with customers, executives, contractors, and suppliers. Resolves complex engineering issues, manages technical risks, mentors engineers, and promotes Agile, DevOps, AI/ML, cloud, and software engineering initiatives.

Analyze ticket sales, inventory, revenue performance, customer behavior, demand trends, and pricing outcomes for a major sports program. Manage ticket quotas and allocations, monitor primary and secondary market activity, produce commercial reports, and provide actionable pricing recommendations. Collaborate with client and ticketing teams, communicate insights to senior stakeholders, and manage competing priorities in a fast-paced, on-site environment.

Leads the vision, development, testing, maintenance, and continuous improvement of MMSC technologies. Translates business needs into technical requirements, manages user stories and use cases, coordinates internal and external developers, evaluates AI and machine learning opportunities, reduces system risk, tracks performance metrics, and supports process improvements and educational content. The role is hybrid, requiring four days in the office and one day remotely.

Leads complex, cross-functional technology programs across AI, software, robotics, vehicle hardware, infrastructure, simulation, data, and product. Owns project delivery, improves efficiency, manages risks and dependencies, aligns stakeholders, supports business goals, and drives continuous process improvement. The role requires strong technical understanding, systems thinking, communication, project management, and influence without authority across engineering teams.

Leads Citi’s global KYC process transformation, diagnosing workflows, redesigning standardized operating models, defining automation requirements, and embedding structured data architectures. Oversees process mining, RPA, AI enablement, change management, stakeholder alignment, regulatory compliance, KPI governance, and measurable productivity improvements across geographically dispersed teams and jurisdictions.

Manage enterprise customer relationships from onboarding through adoption, driving platform usage, account health, retention, and growth. Serve as a trusted advisor by understanding customer goals, conducting data-informed business reviews, recommending solutions, resolving issues proactively, and advocating for customers. Collaborate with internal teams, manage multiple client projects, identify process gaps, and develop technical and product expertise in a SaaS environment.

Owns ERP support and vendor relationships, including issue triage, SLA tracking, and Statement of Work management. Builds BI dashboards, defines reporting requirements, and implements practical AI-enabled workflow improvements. Partners with plant operations, finance, IT, engineering, and external integrators on production monitoring, equipment integrations, and data uploads. Maintains ERP documentation and prepares business cases, requirements, and readiness assessments for a future ERP upgrade or replacement.

Provide legal counsel on commercial transactions, including IT/SaaS, sponsorship, vendor, customer, licensing, and general contracts. Draft, review, and negotiate agreements; support due diligence and closing documents for investments and acquisitions; advise on AI-related transactions and legal-department AI implementation; and collaborate with compliance, technology, risk, operations, and business stakeholders.

Lead enterprise customer implementations for an AI-powered digital-twin platform. Develop account strategies, drive measurable customer value, manage complex technical workstreams, navigate executive stakeholders, and resolve high-pressure delivery challenges. Lead and mentor a team of technical contributors, ensure solution quality and efficiency, and build consensus across organizational levels. The role requires regular customer-site travel and a one-month headquarters immersion during onboarding.

Drive new-logo sales and revenue growth for Wonderlic’s talent assessment and employee development solutions. Identify and prospect target clients, build relationships with HR and recruiting decision-makers, manage opportunities through the full sales cycle, close new business, and transition customers to Customer Success. Maintain expertise in products, market trends, and competitive conditions while providing strategic insights. The role requires B2B SaaS and HR technology sales experience, quota achievement, pipeline generation, and experience selling to SMB, mid-market, and enterprise buyers.

Leads tax transformation initiatives by improving and standardizing tax processes, translating business needs into technical requirements, mapping workflows, implementing automation and AI solutions, and supporting project and change management. Partners with tax, IT, BI, and AI teams; evaluates vendors and technologies; facilitates workshops and training; and monitors adoption metrics. Requires individual or partnership tax engagement experience, supervisory experience, and strong knowledge of tax technology and project delivery.

Leads the evolution of Integrated Business Planning and commercial FP&A capabilities across DePuy Synthes. Responsibilities include forecasting, profitability and revenue planning, margin analysis, performance management, finance transformation roadmaps, planning technology enablement, governance, change management, executive decision support, and team leadership. The role partners with Finance, Commercial, Supply Chain, Operations, Technology, and Data & Analytics stakeholders to implement scalable planning processes and improve business performance.

Lead technical strategy for large enterprise accounts as Databricks’ primary technical voice. Partner with account executives and technical teams to drive data and AI transformation, product adoption, proofs of concept, and executive engagement. Build technical champions, align solutions to customer strategies, lead virtual teams, mentor colleagues, and demonstrate expertise in big data, data science, cloud, value selling, and production programming.