Top Artificial Intelligence Jobs

Advise senior Department of War leadership on defense R&D strategy, modernization priorities, technology gaps, roadmaps, and investment planning. Coordinate with government laboratories, industry, academia, FFRDCs, UARCs, and international partners. Analyze technical programs, support evaluations and requirements development, and prepare executive briefings, reports, white papers, and strategic assessments across advanced technology domains.

Serves as a defense R&D subject matter expert supporting senior Department of War leadership. Develops technology roadmaps, strategic assessments, briefings, white papers, and executive products; advises on modernization priorities and capability gaps; coordinates with government laboratories, industry, academia, FFRDCs, UARCs, and international partners; and supports technical evaluations, requirements development, program tracking, and transition planning.

Lead modeling, simulation, and analysis efforts for Joint Integrated Air and Missile Defense programs. Plan analytical campaigns, develop models and performance metrics, oversee complex studies, manage analysts, coordinate with government and technical partners, analyze weapons systems and sensor data, apply advanced statistics and emerging AI/ML techniques, and brief findings to senior government decision-makers.

Analyze and shape U.S. economic security policy involving emerging technologies, export controls, foreign investment, and CFIUS. Manage cases and license applications, assess regulatory proposals, review intelligence, identify policy gaps, develop analytical tools and recommendations, coordinate with interagency and technical stakeholders, and present research to government and private-sector audiences.

Drive growth in BinSentry’s swine business by prospecting strategic accounts, generating qualified meetings, conducting discovery and product demonstrations, and converting opportunities into customer pilots. Support pilot-to-commercial conversions, account expansion, renewals, and strategic customer relationships. Maintain CRM data, develop account plans, attend industry events, and collaborate with Sales, Marketing, Customer Success, and Product. The role is remote with 20% travel and requires expertise in SaaS or technology sales, strategic accounts, and pipeline development.

The Compliance Automation Specialist translates regulatory requirements into automated, data-driven compliance tests using SQL, Python, AI, and large datasets. The role sources and validates data, documents test logic and lineage, coordinates with IT and data teams, applies responsible AI governance, investigates exceptions, supports audits and regulatory examinations, and reports testing coverage and results. Banking or financial services experience is essential, along with knowledge of compliance testing, consumer and deposit regulations, and core banking systems.

Lead end-to-end solution architecture for globally scalable R&D digital platforms spanning data ingestion, integrations, experimentation workflows, user experiences, AI/ML, and cloud capabilities. Establish reusable architecture patterns, governance, non-functional requirements, security, and operational standards. Guide build-versus-buy decisions, DevOps/DevSecOps practices, and platform integration with enterprise data domains. Partner with product owners, delivery teams, cybersecurity, enterprise architecture, data teams, and vendors across globally distributed agile environments.

Supports USPACOM joint targeting operations through intelligence analysis, target development, operational planning, and intelligence integration. Maintains target intelligence and MIDB records, produces analytical products and briefings, supports collateral damage assessments, researches threats using multiple intelligence disciplines, and applies AI-enabled platforms to operational decision-making. Collaborates with military, government, and intelligence organizations during contingency planning, exercises, and mission execution.

Own renewals and expansion for an SMB customer portfolio, managing high-volume transactional sales cycles. Responsibilities include forecasting, negotiating, closing renewals, identifying usage-driven upsell and cross-sell opportunities, monitoring consumption data, preventing churn, engaging decision-makers, and partnering with Customer Success, Solutions Engineering, Product, and Support. The role requires selling a technical AI product to engineering and data science buyers while communicating customer patterns internally.

Leads Blackbaud’s vertical marketing strategy, demand generation engine, pipeline creation, market expansion, and bookings growth. The role manages investment across acquisition channels, establishes experimentation and performance frameworks, applies AI to planning and optimization, partners with Sales, Product Marketing, Product Management, and Revenue Operations, and develops Vertical Marketing Directors. Success is measured through pipeline, bookings, conversion, acquisition efficiency, payback, expansion, AI adoption, and team development.

Lead commercial legal strategy for Handshake AI and Enterprise, managing high-value AI data, training, enterprise services, and strategic partnership transactions. Advise on data rights, IP, privacy, security, licensing, and risk allocation; negotiate with AI labs and enterprise customers; partner with Sales, Product, Partnerships, and Operations; and build scalable contracting processes, playbooks, approval frameworks, and the commercial legal team.

Leads the strategy, delivery, governance, and optimization of commercial technology platforms, including CRM, pricing, e-commerce, analytics, customer data, and AI capabilities. Owns the transformation roadmap and partners with Sales, Marketing, Finance, Customer Service, and IT leaders. Oversees product ownership, enterprise integrations, data governance, cybersecurity compliance, vendor relationships, budgets, and cross-functional project delivery. Drives measurable business value through pricing effectiveness, customer insights, automation, and scalable commercial operations.

Develops predictive models, quantitative analyses, data visualizations, and machine learning solutions for Department of Defense clients. Responsibilities include data exploration, cleaning, mining, statistical programming, natural language processing, text mining, dashboard development, and advising stakeholders on actionable insights. Requires experience with Maven Smart System and a TS/SCI clearance.

Own Hippo’s Quoting and Distribution platform strategy, roadmap, integrations, vendor data ecosystem, and end-to-end product lifecycle. Lead cross-functional delivery, translate business needs into technical requirements, manage partner and API integrations, and improve quote-to-bind conversion and distribution-driven GWP growth. Drive AI-native capabilities across quoting workflows, data enrichment, and partner experiences while aligning executive, engineering, insurance, and distribution stakeholders.

Design and ship intuitive, high-quality products for OpenAI’s Codex coding agent. Responsibilities include end-to-end product design, high-fidelity prototyping, user research with software developers, collaboration with engineering, product, research, and design teams, contributing to the design system, shaping product direction, and helping build the design culture and team.

Own Hippo’s quoting and distribution platform strategy, roadmap, integrations, vendor data ecosystem, and AI-enabled capabilities. Lead cross-functional delivery from discovery through launch, improve quote-to-bind conversion and distribution growth, and bridge business, partner, insurance, and engineering teams. The role requires strong product leadership, API and platform experience, stakeholder management, data-driven decision-making, and insurance or financial services expertise.

Lead the strategic and tactical roadmap for a semiconductor Digital Twin program across chip design, manufacturing, and product lifecycle management. Manage partners, budgets, proposals, milestones, dependencies, risks, change impacts, deliverables, reporting, and stakeholder communications. Coordinate teams supporting business development, marketing, and operations while ensuring timely program execution and alignment with organizational goals.

Develop and evaluate AI and NLP tools for regulatory and policy analysis, including document comparison, classification, information extraction, summarization, public-comment analysis, and draft regulatory content generation. Build rapid software prototypes, integrate models with visualizations, assess usability and performance, document methodologies, and collaborate with researchers and subject-matter experts to transition successful prototypes into operational workforce-support tools.

Leads the design, governance, and scaling of enterprise AI technical and functional learning programs. Builds persona-based learning pathways, partners with AI engineers and instructional designers on training content, oversees instructor-led and self-paced delivery, manages learning vendors, and uses feedback, metrics, and dashboards to improve workforce AI readiness.

Lead the design, development, deployment, and ongoing operation of AI solutions that automate workflows and improve decision-making for internal teams and clients. Architect secure integrations with Polaris IQ, third-party tools, and client systems while partnering with strategy, product, engineering, data, and client stakeholders. Translate technical concepts into business value, manage solution lifecycles, and eventually lead a small team of AI strategists and engineers.

Supports innovation lab engineering initiatives involving power and thermal management technologies, laboratory testing, and AI-enabled engineering workflows. The intern will develop and maintain an AI knowledge assistant, expand its troubleshooting and data-analysis capabilities, and improve performance through prompt engineering, retrieval optimization, and user feedback. The role requires an engineering, physics, data science, statistics, or computer science student with strong analytical, communication, problem-solving, and systems-thinking skills.

Leads Blue Yonder’s industry solutions marketing for manufacturing and retail. Owns marketing strategy, organizational leadership, content and messaging frameworks, go-to-market initiatives, solution launches, competitive positioning, customer and partner engagement, and executive-level industry representation. Partners with product, sales, engineering, and operations teams to translate supply chain capabilities into outcome-oriented messaging, drive pipeline and growth, support new markets and acquisitions, and develop marketing talent.

Supports AHEAD’s strategic enterprise transformation initiatives by coordinating plans, milestones, dependencies, risks, stakeholders, executive reporting, dashboards, change management, and post-acquisition integration activities. The role partners with Transformation Leads across multiple Big Bets, helps resolve barriers, maintains alignment, and promotes consistent transformation practices. It requires strong program management, analytical, communication, and change management capabilities in a complex, ambiguous environment.

Own one or two client AI product engagements from kickoff through iteration. Translate ambiguous needs into requirements, backlogs, sprint plans, and evaluation criteria; manage timelines, scope, resources, and client communications; direct designers and engineers; ensure AI output quality; identify blockers; and develop repeatable AI-first delivery processes. The role requires client engagement experience, a track record of shipping AI products or features, strong communication, technical fluency, and independent ownership.

Manage paid social campaigns and full-funnel strategies across Meta, LinkedIn, TikTok, Pinterest, Snapchat, and other paid channels. Oversee client accounts, analyze performance, identify growth opportunities, build client relationships, and collaborate with SEO, creative, and analytics teams. Contribute to thought leadership, coach associates, maintain quality standards, and explore automation, AI, and LLM search visibility initiatives.