Top Artificial Intelligence Jobs

Provides legal counsel on commercial transactions, technology agreements, AI governance, privacy, cybersecurity, compliance, and corporate governance. Drafts and negotiates SaaS, cloud, software, data processing, vendor, marketing, and partnership agreements; develops contract templates and policies; advises on GDPR, CCPA/CPRA, data protection, incident response, and emerging technology regulations; and supports risk assessments, investigations, training, and enterprise governance.

Drive enterprise sales growth across a defined region by building account strategies, developing pipelines, closing complex cybersecurity deals, and expanding strategic accounts. Sell Noma’s AI security platform to CISOs and AI security leaders, build channel and cloud partnerships, and collaborate with Product, Marketing, and leadership. The role requires expertise in enterprise security software sales, complex procurement processes, category creation, formal sales methodologies, and six-figure, multi-stakeholder deals.

Provides global technical leadership for digital AI standards, certification, assurance, training, advisory, and assessment services. Develops AI governance and lifecycle assurance methodologies covering predictive and generative AI, LLMs, agents, cloud AI, model risk, testing, transparency, fairness, privacy, security, robustness, and operational resilience. Translates regulations, standards, emerging technologies, and customer needs into scalable offerings while engaging customers, regulators, standards bodies, and internal stakeholders.

Designs, prototypes, and implements AI-enabled solutions that improve productivity, automation, and decision-making across engineering and business functions. Evaluates AI tools and platforms, integrates capabilities into existing workflows and development processes, and supports organizational adoption through guidance and demonstrations. Collaborates with engineering, security, compliance, and business teams to deliver reliable solutions for sensitive and classified environments while advising on AI trends, security, compliance, and adoption strategies.

Develops and integrates AI-enabled solutions that improve productivity, automation, and decision-making across engineering and business functions. The role researches and prototypes AI tools, supports secure deployment in classified environments, guides organizational adoption, and collaborates with engineering, security, compliance, and program teams. Responsibilities include evaluating emerging technologies, integrating AI into workflows and CI/CD processes, ensuring reliability and compliance, and mentoring junior engineers.

Develops and integrates AI-enabled solutions that improve productivity, automation, and decision-making across engineering and business functions. Responsibilities include researching AI tools, prototyping and deploying solutions, integrating capabilities into workflows and CI/CD processes, supporting adoption, and advising on emerging technologies. The role collaborates with engineering, security, compliance, and business teams while ensuring solutions meet security requirements for sensitive and classified environments.

Designs, validates, launches, and improves rigorous evaluations and benchmarks for frontier AI systems. The role analyzes model capabilities and failure modes using experimental and statistical methods, builds reproducible evaluation infrastructure, collaborates on post-training measurement, and communicates findings through reports, technical articles, and research papers.

Designs and implements AI solution architectures and strategies addressing client business needs and ethical considerations. Develops innovative solutions using AI, machine learning, deep learning, computer vision, NLP, and agentic AI. Leads technology assessments, evaluates alternatives, develops requirements, conducts independent research, translates complex technical topics for broad audiences, and mentors team members. Requires Python programming, modern software design knowledge, a STEM degree, and Secret clearance eligibility.

The Business Architect develops and governs business architecture practices, capability maps, value streams, process architectures, and strategic roadmaps. The role partners with business and technology leaders to align capabilities, solutions, and enterprise objectives. Responsibilities include risk management strategy, initiative prioritization, governance, stakeholder influence, executive communication, and translating business strategy into actionable plans. The position also evaluates AI use cases and supports business transformation across banking lines of business.

Serves as an embedded SOCPAC liaison and subject matter expert supporting special operations capability development. Advises theater command staff on emerging technologies, interoperability, rapid fielding, operational capability gaps, and technology sustainment. Builds relationships among SOF end users, decision-makers, industry, and innovation partners; evaluates prototypes and ensures deployed systems support continued mission operations. Requires travel throughout the USPACOM area and to domestic facilities.

Leads end-to-end delivery of enterprise supply chain analytics and optimization implementations. Responsibilities include engagement governance, solution architecture, modeling, data integration, configuration, UAT, adoption, change management, and executive stakeholder alignment. Manages global cross-functional teams, scopes statements of work, drives delivery accountability, and provides product roadmap feedback. The role is hands-on and customer-facing, requiring strong technical delivery, supply chain analytics, and program management expertise.

Leads AI-enabled transformations across Global Distribution, from identifying high-value business and client opportunities through product strategy, roadmap development, delivery, organizational change, adoption, and measurable value realization. Partners with business, technology, data, design, risk, legal, and compliance stakeholders to create AI-native products and workflows while managing trade-offs, governance, technical decisions, and enterprise readiness.

Manage North American pipeline generation with a focus on outbound growth, while overseeing inbound and event motions. Lead and coach the Business Development team, improve prospecting quality, manage conversion and pipeline targets, reinforce qualification and sales handoff standards, and use performance data to improve messaging, targeting, and conversion. Collaborate with Sales, Marketing, and Operations while supporting representative onboarding, development, and performance management.

Leads AI adoption and capability building across Global Distribution by developing role-based learning pathways, enabling platform launches, managing an AI Champions Network, and coordinating communities of practice. The role creates learning experiences, manager enablement, communications, and practical use-case showcases while measuring adoption, proficiency, engagement, and learning effectiveness. It partners with AI, technology, product, HR, and enterprise learning teams to drive sustained behavior change and responsible, effective use of generative AI.

Leads AI-enabled process transformation for Global Distribution teams by analyzing complex workflows, establishing performance baselines, identifying improvement opportunities, and co-designing future-state processes. Partners with business teams and AI specialists to simplify, automate, augment, and reimagine work. Remains involved through build, testing, launch, adoption, and handoff while facilitating stakeholders and capturing reusable transformation practices.

Provides customer and portfolio support for Equipment Finance accounts. Responsibilities include analyzing loan and lease documents, monitoring account accuracy, billing customers, resolving cash application and invoice issues, collecting past-due payments, reconciling accounts, identifying credit concerns, and supporting lien perfection. The role requires collaboration with banking teams, adherence to lending regulations, use of servicing systems and Microsoft tools, and professional client communication.

Regional Sales Manager responsible for selling enterprise imaging, PACS, AI, VNA, archiving, and image-sharing solutions across the Southeast United States. Develops territory plans, identifies prospects, engages healthcare decision-makers, conducts demonstrations, creates proposals, closes complex technical sales, manages Salesforce activity, attends trade shows, and supports sales meetings and conferences. Requires healthcare IT or IT sales success, strong product knowledge, communication, presentation, organizational, and relationship-building skills. This is a remote role with customer-site and event travel.

Manage strategic sales relationships with AI-native startups, drive quota attainment, qualify and close complex technology opportunities, maintain forecasts, and develop partnerships with cloud providers, system integrators, ISVs, and OEMs. The role requires positioning NVIDIA CUDA-X solutions, supporting technical and business collaborations, leading cross-functional initiatives, and expanding revenue within the startup ecosystem.

Develops strategic relationships and revenue growth with universities and higher-education research institutions. Owns the complete sales cycle, from prospecting and discovery through negotiation and closing, while meeting quotas and forecasting revenue. Creates territory and account plans, translates complex software and computing requirements into NVIDIA solutions, and collaborates with solution architects, product teams, developer relations, business units, and channel partners. Requires consultative technology sales expertise and understanding of AI, accelerated computing, and research environments.

Leads enterprise supply planning strategy, transformation, systems enablement, data governance, process excellence, and capability development. Builds multi-year roadmaps, standardizes planning processes, deploys and optimizes platforms such as SAP IBP and Kinaxis, improves analytics and data quality, and drives organizational change. Partners with Supply Chain, Manufacturing, Procurement, IT, Finance, Commercial, and executive leaders to improve inventory, capacity, service levels, resilience, and planning maturity across global operations.

Research and write high-quality content about venture capital markets, funding rounds, funds, investors, portfolio companies, and company investments. Own longer blog posts and investment-related articles, while collaborating with the Head of Brand on publishing, scheduling, and distribution across LinkedIn, the blog, newsletters, and X. The role is remote, async, and designed to develop into a VC analyst and content position.

Supports Intelligence Community customers by developing systems engineering plans, requirements specifications, interface control documents, verification plans, and technology transition processes. Coordinates stakeholders, interagency partners, and customer decision meetings; elicits technical requirements, documents policies, and supports projects from requirements definition through deployment. Work is performed onsite at a customer location and requires active TS/SCI clearance with polygraph.

Own product strategy and execution for non-financial risk and controls platforms. Define vision, roadmaps, priorities, requirements, and delivery plans while partnering with Risk, Compliance, and Engineering teams. Manage product lifecycles, stakeholder alignment, dependencies, governance, adoption, and post-launch improvement. Translate regulatory and business requirements into scalable technology solutions, identify automation and AI opportunities, and communicate product progress and business cases to senior stakeholders.

Advise USMC Capability Development and Integration leadership on AI, machine learning, data governance, and advanced analytics. Identify use cases, assess data and architecture feasibility, develop decision briefs and recommendations, guide AI governance and lifecycle management, and support requirements, concepts of employment, doctrine, and capability planning. Coordinate with technical and operational stakeholders to ensure solutions align with Department of War and USMC policies, data standards, and enterprise architectures.

Leads systems engineering analyses for defense acquisition and prototype programs, emphasizing manufacturing, additive manufacturing, industrial scaling, producibility, and lifecycle risks. Reviews requirements, test plans, verification and validation efforts, engineering data, vendors, and acquisition documentation. Develops assessment plans, supports test campaigns, participates in design reviews, integrates manufacturing risks, and briefs senior defense decision-makers. Provides expertise on developmental test and evaluation, manufacturing policy, emerging technologies, digital engineering, and AI impacts.