Top Artificial Intelligence Jobs

Lead design and delivery of hospitality-focused learning programs for property management across the U.S., embed service standards, run onboarding and ongoing training, measure program ROI, conduct onsite coaching and assessments, partner with leadership and HCM, manage logistics and vendor relationships, and drive continuous improvements in customer experience.

Manages sales and assets-under-management data operations across third-party distribution channels. Owns data feeds, quality standards, territory and compensation data, Salesforce integrations, ETF reporting, vendor relationships, controls, stakeholder reporting, and process automation. Partners with sales, Finance, technology teams, custodians, recordkeepers, and data providers to resolve discrepancies and improve reporting accuracy.

Owns the AI strategy, roadmap, and initiative portfolio for assigned business areas. Identifies and prioritizes AI opportunities, translates business needs into compliant AI solutions, and partners with stakeholders, IT, and AI teams to deliver outcomes. Builds less complex AI agents using approved tools, supports technology adoption, monitors KPIs, and uses analytics, feedback, and market trends to guide continuous improvement and investment decisions.

Leads Tier 1 and Tier 2 technical customer support teams, coaching employees and managing service quality, staffing, workflows, and support metrics. Partners with Product, Engineering, QA, Customer Success, and Implementation to resolve recurring issues and improve the product. Develops AI strategies for ticket triage, knowledge management, quality assurance, analytics, and workflow efficiency while maintaining strong customer outcomes.

Leads technology strategy consulting engagements focused on marketing and customer experience technology. Advises clients on technology ecosystems, vendor capabilities, architecture, analytics, AI, data, personalization, content, commerce, and AdTech. Directs discovery sessions, client presentations, recommendations, deliverables, business development, and internal capability initiatives. Manages and coaches consulting analysts while building thought leadership and translating technology goals into actionable programs across channels and media.

Leads AT&T’s federal sales strategy for the U.S. Navy and Marine Corps. Responsibilities include developing go-to-market plans, coaching sales teams, shaping pre-RFP opportunities, managing strategic pursuits, building executive customer and partner relationships, coordinating matrixed teams, and owning pipeline, bookings, revenue, margin, forecasts, and CRM discipline. The role requires federal acquisition expertise, technology fluency, complex enterprise sales experience, regular travel, and potential government clearance eligibility.

Lead the company-wide engineering organization and technical strategy while remaining hands-on with architecture, coding, and code reviews. Own AWS infrastructure, reliability, security implementation, cloud costs, disaster recovery, and incident response. Partner with security, product, and business stakeholders to deliver scalable fintech, digital asset, and AI solutions. Manage budgets, vendors, engineering processes, technical debt, hiring, and organizational development.

Develops and maintains profitable vehicle transportation pricing across customer and market segments. Responsibilities include lane-rate analysis, market benchmarking, pricing models, forecasting, dashboards, margin analysis, billing audits, contract and bid pricing, rate governance, and data-quality validation. Partners with Sales, Operations, Finance, Data Science, and Engineering to recommend pricing changes, improve profitability, and communicate analytical findings.

Leads technology risk assessments and mitigation initiatives across enterprise services, including cybersecurity, cloud, infrastructure, data, resilience, and third-party functions. Advises stakeholders on risk management frameworks, regulatory changes, controls, process improvements, and emerging risks. Manages multiple projects, facilitates assessments, communicates outcomes to senior leadership, and drives operational efficiency and risk reduction.

Leads strategic HR partnership for Capital One’s Applied AI and technology organizations. Responsibilities include organizational design, talent and workforce planning, succession planning, recruiting and retention strategy, executive coaching, job architecture, human capital risk mitigation, and scaling an AI organization from 800 to 1,200 employees. The role partners with senior leaders and HR functions to develop talent strategies, manage scarce AI/ML talent, support enterprise HR initiatives, and drive organizational effectiveness.

Leads Parexel’s HEOR modeling service line, overseeing client engagements, project delivery, profitability, business development, team leadership, and strategic growth. Advises senior clients on evidence generation, cost-effectiveness analysis, health policy, and market access. Develops AI-enabled HEOR methodologies using machine learning, natural language processing, analytics, and predictive modeling. Partners with scientists and health economists, represents the organization externally, and manages service-line strategy, budgets, forecasts, revenue, and performance.

Leads planning, coordination, integration, testing, deployment, and adoption of AI capabilities across USMEPCOM mission workflows. Coordinates government stakeholders and multidisciplinary technical teams, manages roadmaps, dependencies, risks, security controls, data readiness, MLOps, user acceptance testing, training, operational handoffs, and performance measurement. Requires an active Secret clearance, 12 years of relevant experience, and expertise leading AI implementation initiatives in operational or government environments.

Analyzes mission, business, data, reporting, and AI requirements; defines KPIs, workflows, business rules, user stories, and acceptance criteria. Prioritizes AI use cases, supports data architecture and BI requirements, coordinates user acceptance testing, maintains traceability, evaluates AI outputs and safeguards, and measures mission impact. Collaborates with Government stakeholders, technical teams, and Agile delivery teams while presenting findings and recommendations.

Creates and maintains technical documentation for AI integration into USMEPCOM workflows. Documents AI-enabled processes, secure data pipelines, model monitoring, automated agents, APIs, deployment procedures, troubleshooting, user guidance, and operational controls. Coordinates technical reviews, version management, approvals, publication, workforce enablement, knowledge transfer, and documentation readiness. Requires an active Secret clearance, eight years of relevant experience, a relevant bachelor's degree, and experience documenting AI workflows, data pipelines, monitoring processes, operating procedures, and user guidance.

Leads AI workforce adoption and enablement for a government program by assessing learning needs, creating training plans and practical exercises, delivering workshops and coaching, developing proficiency assessments, and measuring adoption. The role guides users in interpreting AI-assisted results, verifying sources, applying human oversight, and using approved AI tools within mission workflows. It also tracks adoption metrics, analyzes feedback and assessment data, coordinates targeted interventions, maintains training records and dashboards, and briefs government stakeholders on progress and improvement opportunities.

Own the Bay Area enterprise sales territory, targeting security leaders across major industries. Drive complex cybersecurity deals from prospecting through negotiation and close, convert pilots into multi-year agreements, expand customer accounts, and build executive relationships. Refine positioning, pricing, and sales processes while feeding market insights back to product and leadership.

Leads 6–8 enterprise Account Executives across the Western U.S., owning bookings, forecasting, pipeline development, major deal execution, hiring, coaching, and cross-functional collaboration. The role requires building repeatable enterprise sales motions, improving multi-product attachment, mentoring sellers, and maintaining strong executive relationships. Travel is required for customer meetings, executive briefings, partner work, and industry events.

Leads 6–8 enterprise Account Executives across the Western U.S., owning bookings, forecasting, pipeline coverage, strategic deals, hiring, coaching, and team development. The role requires direct involvement in major enterprise sales opportunities, cross-functional collaboration, executive engagement, and adoption of MEDDPICC, Salesforce, Gong, Clari, and AI-enabled workflows. Travel is required for customer meetings, executive briefings, partner work, and industry events.

Develop and evaluate AI, generative AI, LLM, RAG, and agentic workflow solutions for pharmaceutical development, manufacturing, regulatory, quality, and supply-chain processes. Build reusable components, apply responsible AI and software engineering practices, validate outputs, and collaborate with scientific and technical stakeholders in regulated environments. The role requires Python development, pharmaceutical CMC knowledge, and communication with technical and non-technical teams.

Leads and scales a regional Forward Deployed Engineering team serving public sector customers. Owns technical discovery, architecture reviews, proposal scoping, delivery quality, executive customer relationships, and production AI workflow deployments. Builds reusable solutions, informs product roadmaps, and develops GSI and consulting partner capabilities. The role also hires, coaches, and sets technical performance standards for engineers.

Own commercial business development across robotics, AI infrastructure, energy, industrial automation, and emerging hardware. Identify and qualify prospects, build executive and technical relationships, manage opportunities through proposals and contract execution, and develop strategic partnerships. Translate customer requirements into manufacturing opportunities, support RFQs and feasibility assessments, build GTM strategies, forecast pipeline, and convert pilot projects into recurring production programs.

Lead ElevenLabs’ US public sector business by developing government relationships, driving AI product adoption and revenue, building strategic partnerships, influencing policy, monitoring AI regulations, and advising leadership. The role spans federal and state institutions, policymakers, industry associations, and coalitions, with emphasis on AI governance, safety, copyright, privacy, transparency, data protection, competition, and digital rights.

Leads the enterprise business intelligence and analytics strategy, roadmap, reporting, dashboards, KPI frameworks, predictive analytics, data governance, and responsible AI practices. Advises executives, oversees analytics delivery and team development, strengthens data quality and self-service reporting, manages priorities and vendors, and drives cross-functional adoption of data-informed decision-making across the credit union.

Lead global communications strategy for OpenAI’s cybersecurity work, including product launches, research, threat reporting, policy initiatives, and major company milestones. Build trusted media relationships, translate complex technical topics into clear messaging, advise senior executives, and coordinate communications across security, product, research, legal, policy, and marketing teams. The role combines long-term strategy with hands-on leadership during high-visibility launches, disclosures, incidents, and rapidly evolving security issues.

Designs and scales experiential learning programs that build employee AI fluency across roles and regions. Responsibilities include needs analysis, curriculum and journey design, tool-specific training for generative AI and Microsoft Copilot, content QA, learner testing, stakeholder collaboration, measurement planning, benchmarking, and responsible AI education. The role partners with HR, technology, analytics, compliance, product, and business teams to drive AI adoption in a regulated enterprise environment.