Top Artificial Intelligence Jobs

Leads project and program execution, operational strategy, AI and automation enablement, business intelligence, and M&A integration for CARE. Oversees complex transformation initiatives focused on customer experience, workforce modernization, operational efficiency, and business performance. Manages resources, budgets, schedules, cross-functional partnerships, analytics governance, transition planning, risk mitigation, and departmental staff, including hiring and performance decisions.

Drive technical evaluation and value-based selling for enterprise Agentic Process Automation solutions. Engage executives and technical stakeholders, lead workshops and demonstrations, develop tailored integrations, and position solutions competitively. Build strategic customer and partner relationships, design scalable sales frameworks, and provide expertise on automation, AI, LLMs, RAG, OCR, RPA, APIs, cloud platforms, and enterprise applications. Travel up to 50% to support clients and business needs.

Lead client-facing AI transformation and enablement engagements for mid-market companies. Design and deliver practical sessions that drive executive confidence, behavior change, and measurable AI adoption. Own client relationships between sessions, provide follow-up support and strategic guidance, stay current on AI tools, and identify adoption patterns that improve the company’s methodology. The role is full-time and remote, with travel to client sites required for some engagements.

Build and lead InSite Health’s Customer Success function from the ground up. Design scalable processes, playbooks, KPIs, systems, team structures, onboarding, implementation, adoption, renewal, and expansion programs. Own executive customer relationships, customer health, retention, and cross-functional issue resolution. Recruit and develop the team while personally supporting implementations, launches, trainings, executive reviews, and complex institutional accounts. Frequent travel to school districts and government client sites is required.

Own the strategy, roadmap, and lifecycle of Netflix’s internal employee support and knowledge products. Lead discovery, prioritization, delivery, adoption, and continuous improvement across Slack, Zendesk, Jira, integrations, and the Netflix Knowledge Platform. Partner with engineering, design, data, support, and business teams to improve self-service, agent productivity, knowledge management, workflow automation, and AI-powered employee experiences. Use customer research, metrics, and data foundations to identify opportunities and measure business impact.

Own strategic alliance and client relationships from discovery through deployment and expansion. Lead complex AI simulation engagements, joint selling, proposals, partner enablement, Centers of Excellence, governance, playbooks, and repeatable go-to-market systems. Collaborate with engineering, product, deployment, and commercial teams to translate partner needs into scalable solutions. Represent the company with senior executives and help partners embed the technology across their organizations and client offerings.

Supports an Agency MBS and CMO trading desk through market analysis, valuation assessment, relative value idea generation, and risk evaluation. Builds datasets, models, data tools, and automation workflows using Python and Excel/VBA. Partners with risk, modeling, and technology teams to improve desk analytics and infrastructure. Applies AI tools to research and workflow optimization, and communicates market views, opportunities, and findings to traders, salespeople, and clients.

Lead government compliance across aerospace and defense business units, managing compliance analysts, audits, government coordination, FPRP and ICS support, CAS and FAR compliance, business systems, supplier cost analysis, TCoPD processes, document control, and enterprise training. Oversee risk mitigation, policy governance, process automation, and compliance framework integration during mergers and acquisitions. Travel up to 25% is required.

Develop predictive models, machine learning algorithms, quantitative analyses, and visualizations using structured and unstructured data. Explore, clean, analyze, mine, and interpret complex datasets while collaborating with clients to address data-driven challenges. Lead solution development, communicate findings, and support informed decision-making across public and private sector projects. Travel up to 25% and maintain a Secret clearance.

Owns the university’s learner-facing digital experience across CRM, SIS, portals, and AI tools from initial contact through graduation. Responsibilities include business analysis, system configuration, data integrity, reporting, UX decisions, issue triage, requirements gathering, and cross-functional enhancement delivery. The role manages projects, supervises employees, maintains documentation, monitors system performance, and improves recruitment and enrollment processes through Salesforce, analytics, and AI-driven workflows.

Build and improve internal systems and processes supporting company scalability. Manage employee-facing IT operations, including devices, software, access, vendors, and support. Improve Notion-based knowledge management, documentation, governance, and discoverability. Lead cross-functional projects from problem definition through implementation, using technology, automation, and AI to streamline fragmented processes and deliver scalable solutions.

Build and operate customer-facing AI agent experiences for loyalty programs, including LLM workflows, tool calling, guardrails, evaluations, monitoring, personalization, and streaming chat. Integrate frontend, backend, APIs, data services, and AI orchestration layers. Partner cross-functionally to ship measurable products, maintain quality, protect sensitive data, and support features in production.

Leads Mars’s global Growth Science practice and marketing capabilities transformation. Owns the enterprise Growth Flywheel, systematic learning cycle, scorecard harmonization, centralized evidence base, and cross-divisional adoption. Builds scalable playbooks, decision frameworks, training, and AI-enabled knowledge tools while partnering with global Insights teams. Requires strong evidence-based marketing expertise, change management, process engineering, stakeholder leadership, and the ability to translate complex marketing science into practical guidance.

Own HUD’s legal operations infrastructure, including intake, contracting workflows, approvals, document management, templates, playbooks, automation, and outside-counsel coordination. Draft, review, and negotiate commercial technology agreements such as MSAs, SOWs, data licenses, SLAs, NDAs, and vendor contracts. Improve legal scalability by standardizing routine work, managing risk, controlling legal spend, and escalating specialized matters appropriately.

Provides senior legal counsel on technology, product development, data privacy, governance, licensing, cybersecurity, and responsible AI. Advises Product and Engineering teams throughout the product lifecycle, leads privacy compliance, negotiates SaaS and technology agreements, manages privacy vendors, and partners with Procurement on contract lifecycle processes. Balances legal, business, policy, and reputational risks while advising senior stakeholders and counterparties.

Own the Applied AI product roadmap, identify consumer problems, and deliver zero-to-one AI features for insurance shopping. Lead rapid prototyping, user testing, experimentation, and AI-assisted development in partnership with engineering, design, and product teams. Define success metrics, analyze quantitative and qualitative results, communicate technical trade-offs, and embed personalized AI, discovery, and conversational capabilities across consumer experiences.

Monitor and investigate security alerts across SIEM, EDR, identity, network, email, and cloud platforms. Triage threats, support incident response, analyze logs, manage vulnerabilities, tune detection rules, and coordinate with IT teams and external MDR providers. Maintain incident documentation, develop operational metrics, participate in exercises, and improve cybersecurity workflows through automation, scripting, and emerging technologies.

Sells and demonstrates HP premium PCs and accessories in a Best Buy store, engages customers, meets sales goals, trains store associates, maintains merchandising displays, and reports sales and competitive insights. The role requires weekend availability, strong communication and presentation skills, customer-focused selling, accurate activity tracking, and maintaining a clean, functional workstation.

Lead global HR Operations process excellence by diagnosing workflows, analyzing performance data, standardizing processes, managing improvement initiatives, and identifying automation and AI opportunities. Partner with HR leaders, platform teams, product owners, and regional stakeholders to implement operating model changes, improve service delivery, maintain process standards, and foster consistent ways of working across the organization.

Lead architecture strategy and roadmaps for cloud-based, AI-enabled payment systems. Advise on technology selection, build reusable secure engineering patterns, develop and review production code, govern APIs and integration patterns, and drive digital transformation for onboarding and self-service experiences.

Manage the operational integrity of an automated group health insurance underwriting workflow. Review and approve RFPs, validate broker and external data, correct errors, monitor funnel and risk metrics, analyze quote-to-bind performance, triage inquiries, coordinate with sales and health plan operations, and maintain underwriting dashboards and reporting.

Manages data science initiatives supporting American Spaces programming, including OASIS implementation, data integration, policy compliance, dashboards, Power BI reporting, analytics, AI applications, funding analysis, training, and stakeholder presentations. Advises on technology requirements, oversees interconnected data projects, develops visualization and reporting tools, and supports data-informed strategic planning for the Department of State.

Build and validate computational models of combustion, heat transfer, fluid flows, and fire/explosion scenarios using commercial CFD and FEA tools. Perform pre/post-processing, analyze results, document modeling approaches, run validation experiments, write technical reports, and communicate findings to internal and external stakeholders. Collaborate with industry and academics and present at conferences.

Lead principal for CFD and physics-based simulation focusing on CFD, fire/explosion, refrigerant leakage, battery thermal runaway, combustion, multiphase flows, and electronics cooling. Own V&V strategy and model credibility, enforce ASME/NASA/Oberkampf & Roy best practices, drive test-to-simulation correlation, mentor engineers, produce technical reports for certification, and guide global teams on validated modeling approaches for safety-critical applications.

Use CFD tools (FLACS, FDS, others) to model battery fires, gas dispersion, deflagration, and thermal impacts. Perform pre/post-processing, V&V against large-scale tests, support performance-based design and code compliance, produce technical reports, and collaborate with multidisciplinary teams while developing domain expertise.