Top Artificial Intelligence Jobs

Leads Workday’s Customer Zero program, coordinating product managers, engineering teams, Agent Factory, and business functions. Owns operating cadences, executive reporting, workshops, pilots, rollouts, change enablement, training, adoption, feedback prioritization, technology evaluations, and cross-functional communication. The role influences multiple product roadmaps without owning a single product, ensuring internal Workday usage informs customer-facing product development.

Own enterprise sales across large K-12 school districts, driving territory strategy, self-sourced pipeline, stakeholder consensus, complex 6–18 month sales cycles, and net-new logo acquisition. Manage pilots, RFPs, board approvals, budgets, forecasting, and deal-team orchestration. The role requires selling six-figure contracts, achieving a $1M+ quota, understanding education funding, and traveling more than 50% of the time.

Leads complex data center, infrastructure, procurement, lease, colocation, facilities, and operations agreements for a global cloud platform. Negotiates transactions, advises cross-functional teams on risk and performance, supports international expansion, and develops scalable legal templates, playbooks, and approval frameworks. Requires substantial in-house infrastructure transaction experience, a J.D., and active U.S. bar admission.

Mercor is offering $5 million in grants for research on AI capabilities, including real-world evaluations, interactive environments, long-horizon tasks, agentic systems, reasoning, post-training, and evaluation methodology. Academic groups, independent researchers, and nonprofits may apply with a focused proposal. Applicants should describe their team, background, research accomplishments, project, expected outputs, impact, timeline, and resource needs. Funded projects are expected to produce public research, datasets, methodologies, or tools.

Manage enterprise accounts across the Midwest, identifying and closing new business and expansion opportunities. Sell data governance, AI readiness, and database management solutions to senior IT and business leaders, including C-level executives. Responsibilities include consultative solution selling, strategic account planning, complex sales-cycle management, channel collaboration, territory management, forecasting, and pipeline development. The role is remote and requires 30–50% customer travel.

Build and deploy production machine learning models, scalable ML infrastructure, real-time training and inference pipelines, multimodal AI systems, and model APIs. Optimize model performance for cost, speed, and accuracy while applying MLOps practices. Collaborate with data science teams to productionize research models and independently architect highly available ML systems for a global media and entertainment platform.

Lead WRITER’s internal and external brand strategy, campaigns, customer and employee brand experiences, AI-native brand operations, product branding, agency relationships, brand measurement, and centralized brand systems. Partner with product, design, engineering, and marketing teams to strengthen brand consistency, awareness, perception, and business impact while enabling the company to create high-quality, on-brand work at scale.

Leads the Risk and Compliance product area, owning product vision, strategy, roadmap, discovery, delivery, KPIs, and adoption. Manages and develops Product Managers while partnering with Engineering, Design, Data, Operations, Legal, and executive stakeholders. Drives AI and automation into existing workflows, oversees complex initiatives, manages portfolio capacity, and ensures measurable business outcomes through data-informed iteration.

Designs and implements secure Azure Government and hybrid-cloud foundations for regulated customers. Responsibilities include landing zones, identity, networking, security, automation, migrations, Kubernetes readiness, monitoring, disaster recovery, and approved AI workloads. Leads customer engagements from discovery through operational handoff, coordinates delivery risks and escalations, supports compliance and authorization processes, and validates government-cloud service availability across Azure Government, GCC, GCC High, and DoD environments.

Lead end-to-end power architecture for high-power AI accelerator SoCs across silicon, package, board, and system levels. Define power-management, power-delivery, thermal, and workload-aware architectures; establish power budgets and system interfaces; evaluate performance, reliability, cost, and implementation tradeoffs; and provide technical leadership through design, silicon bring-up, characterization, and deployment.

Build and expand strategic relationships with advisors, investors, partners, and enterprise decision-makers. Identify key stakeholders across top accounts, uncover relevant AI use cases, and create introductions that generate pipeline and business outcomes. Represent the company at executive and industry events, partner with founders to prioritize relationships, and track relationship activity and pipeline impact. The role requires strong analytical ability, executive presence, autonomy, and an established enterprise or investment community network.

Designs, develops, tests, deploys, monitors, and continuously improves machine learning models for complex business and national security mission requirements. Integrates data pipelines, evaluates model performance, applies statistical analysis, ensures data and output quality, and transforms prototypes into scalable production solutions. Provides system integration oversight and may lead distributed teams. Requires advanced education or equivalent experience and an active TS/SCI clearance with polygraph.

Designs and evaluates data architectures, ETL pipelines, storage strategies, and governance practices supporting Marine Corps AI capabilities. Advises leadership and vendors on data maturity, security, rights, interoperability, and deployment across cloud, on-premises, and tactical edge environments. Establishes data quality standards, analyzes data flows, supports experiments and wargames, and documents technical assessments. Requires substantial data engineering experience, U.S. citizenship, and TS/SCI eligibility.

Build and deploy AI-powered workflows, agents, copilots, and automations across revenue, marketing, and customer success. Integrate CRM, BI, communication, and data systems; enable natural-language analytics; establish guardrails, monitoring, documentation, and feedback loops; and measure adoption, productivity, revenue impact, and ROI. The role requires hands-on LLM, API, coding, automation, and GTM systems experience, plus cross-functional project leadership and end-to-end ownership.

Leads AI and machine learning architecture for embedded and edge computing solutions. Defines reusable frameworks, inference pipelines, deployment methods, and hardware/software partitioning across sensors, accelerators, embedded platforms, and cloud resources. Evaluates and optimizes models for accuracy, latency, memory, power, and cost. Partners with product, software, research, and customer teams, while providing technical leadership, mentoring, and strategic guidance on computer vision, signal processing, sensor fusion, multimodal AI, and autonomous systems.

Leads the strategic vision, roadmap, and end-to-end lifecycle for AI/ML algorithm products. Builds business cases, defines requirements, oversees prototypes and deployments, and scales product portfolios. Partners with engineering, data science, pathology, clinical, regulatory, quality, design, and business teams. Supports validation strategies, clinical trials, regulatory pathways, and commercialization of healthcare AI products.

Designs, builds, tests, and deploys AI-enabled automations and copilots for GTM and RevOps. Creates reusable agent templates, prompt libraries, and orchestration patterns; implements end-to-end API integrations; monitors performance; documents and hands off production solutions; and trains/coaches business teams on safe, responsible AI usage and prompting best practices.

Researches emerging AI technologies and develops internal tools using large language models. Builds prototypes, experiments with prompt engineering, evaluates model performance, improves accuracy and reliability, and documents findings. Collaborates with team members to identify business applications and communicate ideas and results. The role requires analytical ability, curiosity, strong communication, organization, and an interest in responsible AI.

Leads strategy and business development for Verizon’s AI Connect program, including infrastructure market development, GTM partnerships, growth initiatives, supply chain risk reduction, organizational scaling, governance, OKRs, and resource planning. Partners with Legal, Sourcing, Real Estate, Regulatory, and Product teams while guiding the organization from initial build-out through scale and optimization. The role requires executive leadership in high-tech or telecommunications environments and involves more than 50% travel.

Leads AI specialty sales and partnership teams serving small law firms. Owns go-to-market strategy, revenue growth, customer acquisition, adoption, pipeline, and market share for CoCounsel Legal and related AI solutions. Builds high-performing sales teams, develops co-sell and partner ecosystems, coordinates cross-functional execution, advances sales enablement, and represents Thomson Reuters as an AI thought leader in the legal technology market.

Leads product safety and wellbeing strategy for AI-powered experiences. Owns safety roadmaps, guardrails, evaluation frameworks, benchmarks, metrics, monitoring, launch-readiness criteria, and human or automated evaluation programs. Assesses failure modes and emerging risks, including self-harm and crisis scenarios, and translates expert and user findings into product guidance. Partners with engineering, machine learning, product, design, and data science teams to improve risk detection, response generation, escalation, and user experience.

Provides corporate legal advice, risk guidance, and transactional support to business partners in a biopharmaceutical company. Drafts and negotiates confidentiality, services, clinical research, licensing, collaboration, and vendor agreements. Supports corporate transactions, compliance processes, legal templates, outside counsel management, and cross-functional initiatives involving clinical development, business operations, AI, IT, and data governance. Requires practical judgment, strong communication, and the ability to manage complex legal priorities independently.

Own integrated demand generation and account-based marketing programs to create qualified B2B pipeline. Develop audience segmentation, campaign strategy, channel mix, personalization, and sales activation across 1:1, 1:few, and 1:many motions. Partner with Sales, SDRs, Product Marketing, Marketing Operations, and partners to execute campaigns, measure pipeline impact, and optimize performance using data, intent signals, AI, and marketing technology.

Build and deploy production GenAI systems, agentic workflows, retrieval pipelines, and evaluation harnesses for enterprise customers. Work directly in customer operations to understand and redesign business processes before automating them. Write production code across backend, data, and AI layers; deploy maintainable systems on AWS; drive adoption; and own outcomes tied to business KPIs. The role requires senior technical leadership, domain adaptability, stakeholder credibility, and hands-on engineering.

Administers and supports institution-wide AI-enhanced systems, including Oracle Fusion, Insightstream AI, and related agents. Maintains integrations, configurations, updates, scheduled jobs, system performance, documentation, and data integrity. Troubleshoots issues, coordinates outages and planned changes, evaluates technology solutions, and supports adoption among faculty, administrators, and staff. The role also develops API- and script-based integrations and provides technical support across college locations.