Top Artificial Intelligence Jobs

Lead enterprise influencer relations for NVIDIA’s AI models and research. Develop influencer programs, pitch stories, secure impactful social content, cultivate AI influencer relationships, and collaborate with business, marketing, regional, and industry partners. Translate complex technical concepts into compelling narratives for broad audiences while promoting open models, enterprise AI, and model innovation globally.

Owns the design, development, and operation of Kubernetes management-plane software for customer-managed AI and HPC infrastructure. Responsibilities include building cluster lifecycle capabilities, Kubernetes controllers and operators in Go, automated provisioning, distributed-system reliability and security improvements, CI/CD and testing, technical leadership, cross-team coordination, mentoring, and production troubleshooting.

Manage strategic biopharma and digital health accounts, build executive and developer relationships, expand NVIDIA platform adoption, communicate the value of its AI and accelerated computing offerings, develop account strategies, forecast revenue, and lead complex engagements with cross-functional teams and technology partners. The role requires enterprise technology sales expertise, healthcare ecosystem experience, strong revenue performance, AI/ML knowledge, and up to 25% travel.

Own and grow NVIDIA’s strategic relationship with a defense technology customer. Build executive partnerships, develop account strategies, coordinate ecosystem partners, and drive adoption of NVIDIA hardware and software across autonomy, AI, simulation, remote sensing, and edge deployment. Lead complex technical and commercial opportunities from evaluation through production, build qualified pipeline, close revenue-generating deals, and align internal technical and business teams around customer mission requirements.

Conduct original research at the intersection of AI, GPU computing, and EDA for chip design. Develop machine learning algorithms, GPU-accelerated optimization methods, and EDA software; collaborate with circuit, VLSI, and architecture teams to translate research into products. Publish at leading conferences, present research, mentor junior scientists, lead projects, and build collaborations with academia, industry, and internal product teams.

Lead the architecture, development, deployment, monitoring, and operational excellence of large-scale AI observability services and platforms. Drive scalable, reliable, secure distributed systems; make architecture and dependency decisions; collaborate with product and engineering teams; engage customers; improve automation and deployment safety; mentor engineers; and champion testing, privacy, compliance, and code quality.

Leads enterprise Azure sales strategy, pre-sales engagements, forecasting, territory planning, and strategic account growth. Advises customers on cloud, data, analytics, AI, applications, and infrastructure transformations; develops business cases, technical strategies, proofs of concept, and deployment roadmaps. Coordinates Microsoft teams, partners, and solution engineers to close deals, drive Azure consumption, generate pipeline, and deliver customer value. Mentors colleagues, shares industry insights, supports partner strategies, and acts as a trusted technical advisor and customer advocate.

Develop scientific methods and machine learning systems to improve Copilot offline evaluations, including representative query extraction, synthetic data generation, tenant representativeness, dissatisfaction scenario reproduction, and alignment with online experiments. Build production-ready data, training, evaluation, and inference pipelines; conduct rigorous experiments; improve model quality, safety, privacy, and reliability; and provide technical leadership through collaboration, design reviews, and mentoring.

Manages relationships with B2B agencies, supports client success, develops new agency partnerships, and collaborates with sales teams on opportunities. Responsibilities include outreach, account support, market research, campaign insights, event coordination, content presentations, and identifying growth opportunities. The role is remote within the United States but requires travel for agency meetings, networking, events, and regional business development.

Manage relationships with B2B agencies, support client satisfaction and retention, identify new partnership opportunities, and collaborate with sales and client success teams. Responsibilities include agency outreach, business development, market research, campaign insight presentations, event coordination, and follow-up communications. The remote role requires travel throughout the United States for agency meetings, networking events, and regional growth initiatives.

Manage relationships with B2B agencies, support retention and client success, identify new partnership opportunities, conduct outreach, collaborate with sales, and contribute to revenue growth. Coordinate agency events, webinars, and networking sessions; conduct market research; present campaign insights; and support account expansion. This remote U.S. role requires travel for agency meetings, events, and business development activities.

Serve as product counsel for frontier AI models and products, advising product teams on regulatory, copyright, commerce, privacy, and other legal risks. Develop scalable risk-mitigation strategies, address novel AI legal issues, and help shape AI legal policy positions across consumer, workplace, and regulated offerings.

Lead the university’s mobile product strategy and agentic AI communication platform. Define product vision, roadmaps, measurable outcomes, and responsible AI practices across complex systems and audiences. Partner with engineering, design, research, data, and leadership; mentor senior product managers; and strengthen discovery, experimentation, and delivery practices. The role drives cohesive, accessible, privacy-conscious digital experiences for students, faculty, and staff.

Own the San Luis Obispo territory through agent appointments, prospecting, follow-up, and relationship building. Develop recurring title and escrow business by cultivating Power Partners, managing pipeline activity in LYTI, and representing 805title’s technology suite. The role requires self-directed consultative selling, business development from scratch, and consistent relationship management. Compensation is commission-only with full earning upside.

The role involves developing advanced computational methods for semiconductor manufacturing, leading innovation, and scaling software for high data processing needs.

Lead technical solution integration for strategic customers, cloud providers, and hyperscalers using NVIDIA AI infrastructure. Develop and deploy compute and networking solutions, support customer proofs of concept, conduct technical workshops and performance debugging, and advise business and engineering teams on product strategy. The role requires deep expertise in AI data-center networking, GPUs, InfiniBand, Ethernet, PCIe, switches, hosts, optics, and rack-scale infrastructure.

Define next-generation data center GPU products by analyzing AI and high-performance computing workloads, identifying customer needs, shaping product value propositions, and developing go-to-market plans. Partner with engineering, operations, field teams, and sales on product positioning, sales tools, and collateral. Focus on large language model training and inference, GPU architectures, software, computing systems, and cloud infrastructure.

Design and prototype AI-powered solutions that transform business processes. Partner with business and technology leaders to identify automation opportunities, develop agentic AI reference solutions, translate requirements, measure ROI, document processes, train users, and support adoption. The role requires hands-on expertise in LLMs, AI agents, machine learning, NLP, and data modeling, plus strong business communication and solution delivery skills.

Defines conceptual, logical, and physical data architectures for wealth management data products. Owns data models, taxonomies, metadata, semantic layers, canonical concepts, governance standards, and schema-evolution patterns. Partners with business and engineering stakeholders to deliver scalable, analytics- and AI-ready data solutions across warehouses, lakehouses, APIs, and BI platforms. Applies automation to improve metadata generation and documentation while ensuring controls, versioning, interoperability, privacy, and sustainable architecture evolution.

Leads and expands a Tribal College and University Computer Science and AI program. Responsibilities include program design, grant implementation, financial oversight, grantee monitoring, evaluation, donor reporting, partner and consultant management, advisory facilitation, curriculum and faculty development support, team supervision, fundraising proposals, strategic planning, and extensive site-visit and conference travel.

Lead integrated financial planning across Azure and AI, including budgeting, forecasting, long-range planning, investment reviews, driver-based analysis, and executive decision support. The role connects financial performance, operational metrics, infrastructure investments, and strategic priorities across Finance and business organizations. Responsibilities include improving planning processes and forecast accuracy, developing leadership narratives, aligning stakeholders, and influencing investment and resource allocation decisions in an ambiguous, rapidly evolving technology environment.

Conduct applied AI research with Microsoft researchers and product partners. Interns develop and evaluate state-of-the-art models and enterprise AI agents, investigate areas such as LLM post-training, reinforcement learning, continual learning, privacy, and human-AI collaboration, present findings, publish research, and collaborate across teams during a 12-week internship.

Lead technology strategy and AI-powered transformation for a strategic insurance customer. Advise executives, develop multi-year cloud and modernization roadmaps, generate demand across Azure, AI, data, security, and business applications, and coordinate Microsoft, partner, and customer teams. Drive commercial strategy, adoption, governance, operational resilience, and measurable business outcomes while applying insurance-industry expertise in a regulated environment.

Leads go-to-market strategy, launch, readiness, and adoption of partner incentives for AI Business Solutions and Security. Develops integrated launch plans, partner communications, training, and community channels; coordinates with marketing, sales, finance, engineering, and operations teams; tracks adoption metrics and synthesizes feedback to improve incentive programs. The role also serves as a subject-matter expert, influences cross-functional stakeholders, and champions AI tools for scalable engagement.

Leads data, model, and AI risk management for a retail bank. Develops risk frameworks, controls, oversight processes, and mitigation strategies across data quality, lineage, AI usage, cybersecurity, and technology risk. Advises stakeholders, reports risks to senior management, monitors AI lifecycle risks, drives program enhancements, and builds a high-performing risk team.