Top Artificial Intelligence Jobs

Leads Marriott Vacations Worldwide’s global tax planning and transfer pricing function, including international tax strategy, intercompany financing, cash repatriation, transfer pricing governance, audits, documentation, and Pillar Two compliance. Partners with Finance, Legal, Treasury, and business leaders on tax transformation, automation, data governance, and cross-functional initiatives. Oversees external advisors, develops a high-performing team, manages complex global projects, and communicates tax strategy and risk to senior executives.

Develop secure, scalable full-stack applications using Java, JavaScript, RESTful APIs, databases, and modern front-end frameworks. Apply AI-assisted development practices including code assistance, automated refactoring, intelligent testing, troubleshooting, security scanning, and infrastructure automation. The role involves backend, frontend, and automation development, system modernization, performance improvement, and collaboration with product and engineering teams. An active Top Secret clearance is required, with SCI preferred.

Conducts end-to-end qualitative UX research for Pinterest’s monetization products, identifying knowledge gaps and delivering actionable insights. The researcher partners with Product, Design, Marketing, and senior leaders to influence product strategy and decisions. Responsibilities include selecting research methods, recruiting participants, researching AI-powered products, communicating findings compellingly, and shaping monetization initiatives across teams.

Design, develop, and deploy production-grade multi-agent AI systems for financial pricing and hedging platforms. Build RAG pipelines, vector database integrations, planning and reasoning capabilities, resilient agent architectures, APIs, and microservices. Optimize systems for latency, throughput, reliability, and cost. Apply AI research to financial workflows, provide technical leadership, define AI strategy, and mentor junior engineers.

Provides statistical leadership for pharmaceutical research, clinical trials, patient safety, medical affairs, regulatory submissions, and product lifecycle management. Develops statistical, machine learning, and AI methodologies; designs protocols and analysis plans; conducts complex analyses; supports benefit-risk assessment and real-world evidence studies; ensures data and reporting quality; and leads cross-functional collaboration and strategic innovation.

Provides statistical leadership for pharmaceutical research and development, including clinical trials, patient safety, medical affairs, regulatory submissions, benefit-risk assessments, and real-world evidence. Develops statistical, machine learning, and AI methodologies; creates protocols and analysis plans; conducts complex analyses; guides data preparation and programming; interprets results; supports publications; and collaborates with cross-functional teams on product development and lifecycle management.

Leads the strategy, architecture, and delivery of Cognex’s Applied AI platform for industrial automation. Directs applied AI research, cloud and edge platform engineering, production reliability, security, scalability, observability, and cost efficiency. Partners across product, hardware, UX, and R&D to ship customer-focused capabilities, drives platform adoption, and builds a high-performing engineering organization. Requires extensive software engineering and leadership experience, cloud and backend expertise, and familiarity with modern AI application architectures.

Supports Dunmore’s AI and data initiatives through data modeling, integration, quality improvement, machine-learning experimentation, product and BOM classification, and agentic workflow analysis. The intern prepares data, develops features, tests and validates models, documents research and results, maps business processes, and evaluates AI workflows with appropriate safeguards. The role involves collaboration with technical and cross-functional teams and communication of findings to technical and non-technical stakeholders in a manufacturing environment.

Leads a 25+ person engineering organization through two Directors, overseeing delivery quality, technical architecture, platform scalability, AI-enabled engineering practices, and new product development. Partners with Product and the Chief Scientist to align roadmaps, launch new manufacturing intelligence products, improve platform efficiency and reliability, develop engineering leaders, and represent engineering strategy and risks to executives.

Provides legal counsel to U.S.-based commercial real estate managers and professionals. Drafts, reviews, and negotiates commercial contracts and transactional documents; analyzes legal and business risks; advises executives and field teams; supports transactions; and negotiates with opposing counsel and clients. Requires strong judgment, drafting, problem-solving, collaboration, and organizational skills, along with comfort integrating AI into legal processes.

Designs, implements, and supports Azure, Microsoft 365, Microsoft Fabric, and hybrid cloud environments for healthcare and clinically integrated network initiatives. Establishes cloud architecture, governance, security, monitoring, identity, data integration, and interoperability standards. Partners with engineering, cybersecurity, analytics, Epic, clinical, and business teams to modernize analytics platforms, ensure healthcare data quality, and deliver secure scalable solutions. Leads technical initiatives, evaluates technologies, supports vendors, and participates in an occasional 24x7 on-call rotation.

Develop and support AI/ML applications and infrastructure for a federal healthcare agency. Build CI pipelines, automate deployment and infrastructure processes, manage cloud and server environments, troubleshoot applications and networks, monitor performance, and implement security and data protection. Collaborate with architects, developers, DBAs, stakeholders, and Agile teams while conducting code reviews, documenting solutions, mentoring colleagues, and supporting AI/ML prototyping, evaluation, integration, and production deployment.

Develop and maintain databases, SQL code, stored procedures, ETL processes, and database integrations. Optimize performance, security, data integrity, backup, recovery, and monitoring. Support AHRQ’s AI/ML strategy by prototyping, evaluating, deploying, and monitoring AI capabilities, including generative AI and large language models. Collaborate with developers, analysts, and cross-functional teams to troubleshoot issues and deliver reliable software.

Develops, trains, tests, deploys, and maintains production computer vision and machine learning models for mission-critical applications. Responsibilities include deep learning, transformer-based vision models, sensor fusion, target tracking, GPU optimization, embedded systems, and real-time missile defense software. The engineer collaborates with multidisciplinary space, military, intelligence, engineering, and AI teams to design and implement robust operational capabilities.

Designs, builds, deploys, and maintains scalable cloud-native data platforms and pipelines using AWS. Supports cloud migration, data science, AI/ML, and business intelligence initiatives by organizing structured and unstructured data. Responsibilities include database architecture, data acquisition and preparation, software development, platform modernization, analytics architecture evaluation, and cross-functional team leadership. Requires TS/SCI clearance with polygraph and substantial all-source analysis experience.

Supports enterprise data and analytics initiatives in a regulated banking environment. Responsibilities include documenting reports and data definitions, validating and reconciling data, creating Excel and Power BI dashboards, translating business questions into reporting requirements, improving manual processes, preparing user documentation, and presenting a capstone project. The intern gains exposure to data governance, cloud analytics, semantic models, and responsible AI.

Lead technical direction for Pinterest’s foundational machine learning capabilities in visual representation learning, multimodal content understanding, and LLM-based personalization. Drive initiatives from research and experimentation through productionization and adoption. Build reusable embeddings, models, semantic signals, and ML infrastructure using distributed training and data pipelines. Collaborate across product, engineering, data science, and applied science while mentoring technical teams and guiding multi-quarter roadmaps.

Bridge legal and engineering teams to evaluate early-stage technologies, identify patentable innovations, conduct IP landscaping and freedom-to-operate screening, and develop strategic global patent portfolios. Lead invention harvesting, technical trainings, disclosure management, and collaboration with outside counsel. Support AI-driven patent discovery tooling, white-space analysis, and prompt repositories while translating complex technical concepts into actionable IP strategies.

Develops risk-based audit plans, leads SOX and internal audit procedures, evaluates controls, documents findings, and recommends process improvements. The role collaborates with global finance, operations, and IT teams, communicates audit results, mentors junior staff, supports annual audit planning, and stays current on emerging risks and internal control practices. International travel of up to 35% is required.

Evaluate properties for modular GPU-compute deployments by assessing electrical capacity, equipment, fiber, access, and permitting. Lead utility coordination, electrical design, contractor bids, construction, testing, commissioning, and turnover. Develop site-readiness standards and investment memos while coordinating utilities, consultants, vendors, network providers, and property teams. Maintain as-builts, capacity records, commissioning documentation, and vendor data. This remote role requires frequent travel throughout the United States.

Leads enterprise AI strategy, architecture, governance, and adoption across generative and agentic AI initiatives. Designs scalable AI platforms, autonomous and multi-agent systems, RAG and knowledge architectures, interoperability standards, and governance frameworks. Establishes observability, security, compliance, evaluation, and operational practices while partnering with business, product, security, data, and engineering leaders. Provides technical leadership, mentoring, and guidance for LLMOps, MLOps, cloud-native operations, and enterprise AI transformation.

Leads public relations and communications for Cisco’s AI software and platform products. Owns launch positioning, messaging, media relations, thought leadership, partner and customer storytelling, executive counsel, and cross-functional communications campaigns. Builds relationships with technology, business, security, and AI media; translates product strategy into compelling narratives; manages agencies, vendors, timelines, measurement, and global collaboration while responding rapidly to market and news-cycle opportunities.

Leads ExtraHop’s product marketing function, including team leadership, portfolio positioning, messaging, product launches, competitive analysis, sales enablement, content development, integrated campaigns, and executive-level customer and industry engagement. The role requires deep cybersecurity and enterprise technology expertise, strong storytelling and technical communication skills, and collaboration across product, sales, marketing, and partner teams.

Lead systems engineering for the Focalist medical-device platform, translating clinical and business needs into technical requirements and specifications. Responsibilities include cross-functional feature development, engineering studies, risk assessments, verification test methods, prototype integration and debugging, configuration management, FMEA and system hazard analysis, feature prioritization, and lifecycle KPI tracking. The role collaborates with product management and engineering teams to support commercialization.

Summer interns will contribute to software, data engineering, AI/ML, cybersecurity, laboratory knowledge, and visualization projects. Responsibilities may include building data pipelines and ML solutions, developing software in C# or C++, preparing datasets with Python and SQL, connecting laboratory data systems, and supporting cybersecurity monitoring and incident response. Interns will gain industry experience through mentorship, coaching, collaboration, and real-world project work.