Top Artificial Intelligence Jobs

Develops and continually tests cyber defenses for the Starshield satellite network. Responsibilities include threat assessment, countermeasure development, red-team exercises, vulnerability discovery and triage, incident detection and response improvements, and collaboration with security and engineering teams. The role requires hands-on expertise across software, cybersecurity, computer networks, and distributed computing platforms, along with readiness to respond to active threats and obtain a Top Secret clearance.

Leads high-stakes federal litigation, regulatory strategy, government engagement, and executive legal advisory work for a defense technology company. Responsibilities include developing litigation strategy, overseeing filings and outside counsel, managing fact development, advising on military acquisition, export controls, national security regulations, legislation, and executive orders, and supporting advocacy with government officials. The role also helps build legal infrastructure and advises cross-functional business leaders on legal, policy, and strategic risks.

Lead Help Scout’s global People function in a fully remote, scaling B2B SaaS company. Own the employee lifecycle, talent strategy, compensation, organizational design, performance management, engagement, retention, remote-work systems, and People analytics. Partner with executives and hiring managers to align People programs with business strategy, strengthen culture, and scale effectively. Introduce an AI-informed approach to People practices while establishing clear planning, prioritization, and execution rhythms.

Supports IT governance, metrics management, and reporting enhancements by gathering requirements, documenting decisions, analyzing trends, and coordinating business and technology teams. Maintains the IT Metrics Portal and Power BI improvements, facilitates metric reviews, prepares executive presentations, and tracks governance committee actions. The role also supports audits, regulatory requests, control testing, and the responsible use of automation and AI to improve reporting and analysis.

Leads the enterprise FP&A organization, overseeing budgeting, forecasting, long-range planning, financial modeling, KPI reporting, cash-flow forecasting, and commercial finance partnership. Advises executive leadership, the board, private equity sponsors, and lenders; supports M&A diligence, integration, financing, synergy tracking, value creation, and exit readiness. Modernizes finance systems and automation while developing a distributed, high-performing FP&A team.

Lead a small engineering team building and scaling AI-native developer tools across the enterprise. Own the AI tooling roadmap, architecture, model portability, evaluation, guardrails, observability, security, privacy, and cost management. Build hands-on AI services that support code review, testing, triage, and broader software development workflows. Partner with engineering, DevEx, IT, Security, Compliance, and Audit teams while developing engineers and measuring business impact.

Leads the Product Development Lifecycle across Product Innovation, Software Engineering, and Product Quality. Establishes governance, metrics, dashboards, tooling strategy, investment frameworks, and cross-functional operating practices. Drives AI adoption throughout product operations, improves lifecycle efficiency, and partners with senior leadership on prioritization and resource alignment. Builds and manages the product operations function while fostering continuous improvement and organizational transformation.

Leads counterparty credit risk product development, including AI deployment, stress-testing automation, exposure measurement tools, regulatory reporting, business requirements, technology delivery, testing, crisis management, and strategic risk infrastructure projects. Partners with risk managers, technology teams, and senior stakeholders to improve data, pricing, calculations, monitoring, and wrong-way risk capabilities while communicating findings and project status to management.

Leads enterprise data governance, data modeling, architecture, quality, lineage, metadata, and stewardship initiatives within financial services. Designs conceptual, logical, and physical data models; supports AI-driven data solutions; establishes standards and controls; ensures regulatory and privacy compliance; and partners with business, technology, and data science teams. The role also mentors data professionals, oversees data management systems, and develops strategies to improve reporting, analytics, operational efficiency, and business value.

Owns CoreWeave’s Physical AI communications strategy, including messaging, media relations, product and customer launches, executive thought leadership, technical content, and reporter relationships. The role translates AI infrastructure, robotics, autonomy, and scientific computing into credible narratives, advises senior leaders, coordinates cross-functional communications, develops customer and partner stories, and measures coverage and message performance.

Lead and execute equities-focused internal audits: plan, scope, perform control design assessments and testing, report findings to senior management, follow up on remediation, and improve audit methodology.

Design, build, deploy, and maintain production AI/ML systems, including models, data pipelines, training workflows, agentic systems, and RAG pipelines. Monitor and optimize reliability, scalability, performance, and costs while contributing to architecture decisions. Collaborate with product, engineering, and data teams, communicate technical tradeoffs, support junior engineers, and apply responsible AI, security, observability, and containerization practices.

Lead end-to-end design strategy for StackAdapt’s AI experience, including generative interfaces, trust-building interactions, AI evaluation, and complex data-rich workflows. Collaborate with Product, Engineering, Research, Revenue, Client Services, and Leadership to deliver scalable experiences, establish design frameworks, connect decisions to business outcomes, and mentor designers. The role requires strong interaction design, prototyping, information architecture, AI product experience, strategic thinking, and cross-functional communication.

Leads enterprise sales messaging strategy and operations across a complex, matrixed organization. Manages messaging programs, priorities, stakeholders, governance, capacity, and outcomes while coaching associates and resolving competing priorities. Develops activation plans, uses field feedback and engagement data to improve adoption, and applies technology and AI to streamline intake, drafting, reporting, and publishing. Partners with Sales, Product, Investment Groups, Marketing, and Learning and Development to deliver coordinated, actionable communications.

Leads USC Advancement’s enterprise transformation strategy across people, processes, data, technology, and organizational design. The role develops transformation roadmaps, modernizes operating models, advances AI and analytics capabilities, strengthens CRM and digital architecture, establishes governance and KPIs, manages change, and measures organizational value. As a senior executive advisor, the AVP leads complex cross-functional initiatives, oversees the transformation team, aligns resources with institutional priorities, and improves fundraising, alumni engagement, operational efficiency, and decision-making.

Build and ship software across Python backend services, React and Next.js applications, and AWS infrastructure. Apply language models such as Claude and Gemini to healthcare workflows and automation, improve production reliability, troubleshoot bugs, and collaborate on defining valuable solutions. The role is designed for a recent graduate who learns quickly, communicates clearly, and grows from smaller changes into owning features end to end.

Support a government customer as an expert AI/ML Engineer by developing advanced AI/ML architectures, responsible AI implementations, enterprise deployment strategies, and roadmaps advancing technologies from research to operational deployment. The role requires expertise in neural networks, reinforcement learning, model interpretability, MLOps pipelines, productionizing data science research, and deploying GPU-enabled deep learning applications.

Leads the AI Governance Program for a regulated mortgage lending division. Establishes governance structures, policies, risk-tiering methods, controls, use-case lifecycle processes, third-party AI oversight, and audit-ready documentation. Coordinates reviews across legal, compliance, security, privacy, data governance, model risk, vendor management, and enterprise risk teams. Reports AI governance KPIs and KRIs to senior leadership while providing independent challenge and ensuring AI systems meet regulatory and organizational requirements.

Develop advanced machine learning, data mining techniques, predictive models, and analytical frameworks to identify and mitigate cybersecurity threats. Integrate cybersecurity data sources and sensor technologies, collaborate with cross-functional stakeholders, and deliver actionable insights supporting client and mission objectives. The role requires substantial cybersecurity and data science experience, leadership capability, strong communication skills, a Top Secret clearance, and relevant education or certifications.

Owns strategic enterprise accounts across materials, chemicals, energy, and semiconductors. Responsibilities include developing multi-year account strategies, managing executive relationships, leading complex technical sales pursuits, negotiating large agreements, forecasting revenue, responding to technical RFIs and DDQs, and shaping commercial strategy. The role translates AI and autonomous laboratory capabilities into scientific and commercial value while partnering with product, science, software, robotics, legal, finance, and procurement teams.

Own a portfolio of top pharmaceutical accounts and drive revenue through multi-year account strategies, executive relationship development, complex enterprise pursuits, negotiations, renewals, and expansions. Partner with product, science, software, robotics, legal, finance, and procurement teams to close large agreements and scope high-value engagements. Maintain forecasts, lead technical RFI and DDQ responses, shape pricing and commercial strategy, and translate AI and autonomous-lab capabilities into credible scientific and business narratives.

Design and modernize enterprise network platforms across data center, campus, WAN, cloud, and edge environments. Build reusable automation services, APIs, data pipelines, observability integrations, cloud-native platforms, and AI-enabled workflows for NetOps and NOC operations. Advise clients on network architecture, automation, AIOps, responsible AI, resilience, and operational transformation while creating reusable frameworks, code components, reference architectures, and delivery accelerators.

Own federal customer programs from initial discovery and proposal through deployment, adoption, expansion, and renewal. Responsibilities include shaping requirements, writing proposal and contract language, pricing work, developing deployment plans, configuring the platform, training government users, documenting mission outcomes, and partnering with engineering on product improvements. The role requires deep federal acquisition expertise, customer-facing government sales experience, technical fluency with APIs and integrations, and frequent customer-site travel.

Manage a portfolio of corporate accounts, focusing on retention, renewals, product adoption, and expansion revenue. Build relationships with users and executive stakeholders, identify churn risks and growth opportunities, forecast retention, conduct business reviews, and collaborate with Account Executives. Serve as a client advocate, gather product feedback and customer success stories, and communicate insights internally to support product, marketing, and sales strategies.

Supports NGA modernization by designing and implementing AI integration strategies for intelligence production. Evaluates GOTS and COTS AI capabilities, develops adoption roadmaps, translates analyst needs into requirements, and embeds with intelligence teams to improve GEOINT workflows. Provides training, demonstrations, leadership briefings, technology investment guidance, and commercial AI assessments while ensuring security, compliance, and operational effectiveness in classified environments.