Top Artificial Intelligence Jobs

Design, build, optimize, and maintain scalable real-time and batch data pipelines, microservices, and cloud-based ingestion systems. Develop AWS-based data workflows, integrate APIs and databases, implement automated testing and validation, and monitor distributed systems for reliability and data quality. Translate business requirements into scalable system designs while supporting CI Autonomy and collaborating in an agile environment.

Develop and deliver strategic communications and reputation programs for complex, sensitive issues. Use media and social intelligence, reputation research, AI-enabled horizon scanning, and large language model monitoring to identify risks and opportunities. Advise senior stakeholders, create messaging and position materials, independently manage reputation priorities, and coordinate communications teams to deliver timely, consistent responses across audiences.

Lead financial planning and decision support for cloud and datacenter engineering investments. Partner with engineering, talent acquisition, procurement, and finance stakeholders on FTE and vendor resource planning, forecasting, budgeting, workforce strategy, capacity investments, resource allocation, and financial analysis. Provide scenario modeling, business insights, trade-off recommendations, and executive-level reporting to support strategic engineering priorities and optimize resource deployment.

Conduct AI research during a 12-week Microsoft Research internship, collaborating with mentors and researchers on areas such as foundation models, reinforcement learning, agents, NLP, machine learning, human-AI interaction, and continual learning. Interns develop and evaluate research approaches, contribute to research software and publications, present findings, collaborate across teams, and participate in the research community.

Define architectural direction for Azure Specialized platform services and lead the design of highly available distributed cloud systems. Drive reliability, scalability, observability, security, diagnostics, and operational improvements across engineering organizations. Establish service health frameworks, SLOs, metrics, and governance for mission-critical services. Mentor engineers, influence technical strategy, resolve complex cross-system challenges, and advance AI-assisted troubleshooting and platform modernization.

Leads AI-enabled risk modeling services, setting strategy, managing client relationships, overseeing machine learning and predictive analytics solutions, and guiding end-to-end delivery. The role includes model governance, feature engineering, performance evaluation, innovation, cross-functional collaboration, team coaching, thought leadership, and business development across risk modeling engagements.

Analyze complex client problems using statistical modeling, exploratory analysis, data visualization, and machine learning. Develop AI and GenAI solutions, data workflows, pipelines, models, and quality checks that generate actionable business insights. Communate recommendations through documentation and visual storytelling, manage workstreams, collaborate with clients, and mentor junior team members.

Leads the vision, strategy, and roadmap for AI-powered Brand Expedia experiences across trip inspiration, planning, booking, and travel. Owns experimentation, business outcomes, responsible AI standards, model evaluation, platform partnerships, and third-party AI integrations. Collaborates with engineering, science, design, marketing, and brand teams while coaching product managers and shaping scalable consumer experiences across Expedia’s portfolio.

Leads Walmart’s Agentic Advertising strategy, developing AI-powered advertising products, agent-to-agent commerce capabilities, ecosystem partnerships, experimentation frameworks, measurement systems, and scalable platforms. Defines multi-year vision, builds cross-functional alignment, influences senior executives, and creates a high-caliber product organization focused on customer trust, advertiser outcomes, responsible AI, and new advertising business models.

Drive strategic growth across enterprise accounts by building executive relationships, identifying new business, expanding existing customers, and managing complex sales cycles. Develop consultative account strategies, coordinate with presales and partner teams, maintain CRM pipeline accuracy, forecast sales, negotiate deals, and transition customers to post-sale success teams. The role focuses on enterprise software solutions including Linux infrastructure, Kubernetes, hybrid cloud, edge, AI, and security.

Apptronik is connecting with interns, entry-level candidates, senior professionals, and research scientists in robotics and AI. Opportunities span perception, sensing, control, dynamics, software systems, hardware, and mechatronics, involving technologies such as computer vision, SLAM, reinforcement learning, ROS, C++, Python, embedded systems, and mechanical design. Roles support development and commercialization of the Apollo humanoid robot.

Lead product strategy, roadmap, and delivery for AI-native security experiences. Partner with engineering, security research, design, and data science teams to translate emerging technologies into customer value. Establish operational readiness practices covering release governance, risk management, quality reviews, incident learning, executive readiness, onboarding, adoption, and partner success. Drive complex cross-organizational programs and ensure scalable, reliable launches and measurable customer outcomes.

Provides principal-level technical leadership for global cloud network validation, automation, reliability, live-site operations, and AI engineering. Designs vendor-agnostic testing frameworks, quality gates, CI/CD deployment systems, observability, rollback, drift detection, and self-healing mechanisms. Leads complex network incident investigations, establishes operational standards, drives architectural decisions across engineering and operations teams, mentors engineers, and develops AI-assisted capabilities for network troubleshooting and automation.

Own Daptic’s revenue operations function, including CRM and GTM systems, data quality, quote-to-cash processes, billing, procurement portals, reporting, forecasting, planning, territory and quota models, and commission administration. Partner closely with Sales, Growth, Finance, and leadership to improve pipeline visibility, revenue processes, and operational efficiency while building the function from the ground up.

Manages service delivery for HPC/AI field operations across multiple sites. Leads technical site teams, coordinates customer and technical escalations, oversees service contracts, SLAs, KPIs, risks, staffing, performance management, onboarding, and process improvements. Builds relationships with customers, sales teams, and stakeholders while providing technical and business solutions. The remote role requires approximately 35% travel to customer and field-team sites.

Defines data architecture for physical AI and autonomous systems, including data contracts, schemas, metadata, governance, lineage, and traceability. Designs multimodal architectures for sensor, video, image, telemetry, event, simulation, and robotics data. Establishes scalable data patterns for robotics training, synthetic data, world models, and AI development. Leads architectural roadmaps and standards while partnering with simulation, robotics, data engineering, and platform teams.

Prospects and engages strategic enterprise accounts through targeted outreach, market research, and stakeholder management. Partners with Account Executives to support complex sales cycles from discovery through onboarding, develops expertise in AI and machine learning products, tracks sales metrics, and communicates customer feedback to Product. The role requires strong analytical, communication, organizational, and relationship-building skills.

Develop and manage editorial strategy for Gartner’s AI Daily Edge podcast. Create scripts, discussion guides, show notes, promotional content, and internal communications; synthesize AI research and market developments into accessible narratives; coordinate hosts, guests, producers, and cross-functional stakeholders; fact-check content; align programming with business priorities; and measure feedback to improve audience engagement and episode quality.

Owns BI product strategy for Quote-to-Cash and Order-to-Cash processes. The role translates financial and operational pain points into BI, AI, and machine learning opportunities; develops PRDs, roadmaps, and business requirements; validates commercial data; and partners with finance, legal, product, delivery, and engineering teams to build accurate downstream data products.

Leads Vizient’s indirect spend data and analytics strategy, operating model, governance, quality standards, reporting, automation, and AI adoption. Oversees data lifecycle management, modeling, integration, categorization, normalization, analytical methodologies, dashboards, and decision-support tools. Manages data and analytics teams, develops reusable assets for consulting engagements, partners with technology and product teams, and supports business development and member presentations.

Provides Level 3 customer support for HPE Cray Programming Environment software. Analyzes, reproduces, isolates, debugs, and resolves complex issues; develops workarounds; escalates unresolved problems to HPE R&D or external partners; performs pre-release testing; documents issue resolution; supports customers after hours; and mentors less-experienced staff.

Leads Global Cyber Governance, Risk & Compliance strategy, operating plans, reporting, performance metrics, executive communications, and transformation initiatives. Advises senior leadership, manages governance dashboards and risk indicators, oversees budgeting and workforce planning, and leads a team responsible for reporting and analytics. Modernizes GRC processes through artificial intelligence, automation, and emerging technologies while coordinating with security, audit, legal, compliance, privacy, and enterprise risk stakeholders.

Leads aerospace system and component testing, including test planning, procedures, reports, requirements management, systems integration, and Verification and Validation activities. Troubleshoots complex issues using schematics, service manuals, testing equipment, and logical analysis. Manages test-related nonconformances, documents technical findings, supports multidisciplinary teams, and guides less experienced engineers while ensuring compliance with system requirements and quality standards.

Leads enterprise AI research and development strategy, combining classical and generative AI into production-grade platforms, agentic systems, and customer products. Builds and scales teams of applied scientists and engineers, advances hybrid AI architectures, establishes experimentation and evaluation practices, and embeds responsible AI principles. Partners with senior leaders, academia, and industry to commercialize research and deliver measurable business impact.

Develops scalable automation, AI, machine-learning, and data-analysis solutions for quantum-device research. Responsibilities include building experimental data pipelines, applying AI to device characterization and tuning, integrating models into simulation and control environments, creating reproducible workflows, and communicating technical solutions. The role collaborates across quantum research, engineering, software, and AI disciplines, with opportunities to build AI agents and copilots for experiment setup, log triage, reporting, and knowledge retrieval.