Top Artificial Intelligence Jobs

Build the AI platform enabling scientists and agents to collaborate on therapeutic research. Develop agent execution, model inference, and scientific tool abstractions; create products that accelerate experimentation and decision-making; and partner with scientists to define workflows across people, agents, and models. The role requires strong software architecture, product judgment, and practical understanding of agent reliability and evaluation.

Leads Gartner thought leadership and research on enterprise leadership transformation. Develops actionable insights, analyzes market trends and client challenges, advises executives, and delivers presentations at client briefings and conferences. Supports sales, establishes research positions, reviews content, improves processes, and mentors analysts. Requires expertise in leadership capability strategies, AI and digital transformation, organizational change, executive engagement, research, writing, data synthesis, and business acumen.

Manages sponsorship partnerships, including contract fulfillment, partner communications, marketing activations, collateral, relationship development, and renewal support. Coordinates race-event logistics such as credentials, passes, VIP experiences, track activations, and partner materials. Oversees event communications and serves as the at-track business center manager. The role requires approximately 25% travel, including weekends, to support IMSA races and partnership events.

Leads commercial data science initiatives supporting patient journey analytics, predictive modeling, marketing, sales, medical, and strategic business decisions. Builds scalable, reproducible data science products, develops propensity models, guides offshore teams, manages end-to-end projects, and partners with global cross-functional stakeholders. The role also provides technical leadership, communicates insights to business audiences, establishes measurement and retraining practices, and develops team talent.

Establish and lead CMG’s AI and machine learning capability for advanced manufacturing. Build the enterprise data and AI foundation, develop secure models and analytical tools, improve safety, quality, throughput, and automation, and advance toward closed-loop optimization and agentic physical systems. Initially hands-on, the role will later recruit and lead a small multidisciplinary AI and data team while partnering with operations, production, engineering, scientists, executives, and external partners.

Lead capital markets treasury activities supporting global growth, including developing funding frameworks, managing debt and equity transactions, evaluating financing alternatives, forecasting capital and credit metrics, and maintaining banking and rating-agency relationships. The role also supports financial reporting, M&A, strategic initiatives, and cross-functional collaboration with finance, tax, legal, accounting, and corporate development teams.

Leads quality control for high-impact generative AI programs, managing and developing quality specialists, translating customer requirements into measurable standards, and operating quality systems. Responsibilities include workforce planning, reporting, productivity measurement, defect analysis, root-cause investigation, cross-functional accountability, and development of scalable, technology-enabled quality operations.

Designs and builds production AI agent systems that combine LLM reasoning with deterministic execution. Responsibilities include backend services, workflow state management, recovery and verification, evaluations, diagnostics, secure customer integrations, and architecture leadership. The role involves direct customer collaboration, turning workflows into reusable product capabilities, evaluating models and tools, mentoring engineers, conducting design reviews, and guiding technical direction across agent and backend systems.

Leads public relations, community outreach, stakeholder relationships, executive communications support, communication strategy, event preparation, and crisis communications for SpaceX’s Grimes County operations. The role develops programs that build public support for SpaceX and its affiliates, collaborates across functions, and supports strategic initiatives. It is full-time onsite in Anderson, Texas, may require travel, and includes extended hours or weekends as needed.

Lead architecture and development of a production-grade data and AI platform for insights, audience building, and measurement. Build React and Next.js applications, data pipelines, Snowflake clean rooms, semantic layers, AI-powered tools, measurement frameworks, and embedded BI dashboards. Support audience modeling, analytics, privacy-preserving technology research, and AI agent orchestration while establishing engineering standards and guiding system design.

Manages complex, high-severity general liability injury and property damage claims from investigation through resolution. Responsibilities include evaluating coverage and liability, establishing reserves, negotiating settlements, coordinating litigation strategies with counsel, preparing management reports, and maintaining claim records. The role requires advanced insurance knowledge, negotiation skills, stakeholder communication, regulatory understanding, and an active adjuster license where required. Travel may be necessary for mediations, trials, and arbitrations.

Manage and investigate low- to moderate-complexity general liability injury and property damage claims from initial notice through resolution. Responsibilities include determining coverage, evaluating liability and damages, setting reserves, negotiating settlements, handling low-complexity litigation, issuing payments, maintaining accurate claim records, and communicating with customers, attorneys, vendors, and internal stakeholders. The role also requires obtaining applicable insurance licenses and may involve coaching less experienced claim professionals.

Build and lead Verily’s global talent acquisition function, owning talent strategy, recruiting systems, workforce planning alignment, and employer branding. Lead executive recruiting in partnership with the C-suite, advise leadership and HR partners on talent management, and recruit across engineering, clinical, data science, and business teams. Mentor a global recruiting team while establishing scalable processes, forecasting models, candidate experience standards, and an AI-forward talent acquisition technology strategy.

Leads AI and technology transformation for pharmaceutical R&D by diagnosing data journeys, identifying systemic gaps, defining future-state data capabilities, and prioritizing interventions. The role engages senior leaders and SMEs, facilitates cross-functional workshops, develops business cases and change plans, establishes governance and workstreams, and owns implementation through measurable outcomes. Responsibilities span data quality, ontology, governance, discovery, access, integration, platforms, and data products.

Lead Profound’s design vision and team while shaping an AI-native product experience. Partner with founders, product, and engineering leaders on strategy; establish design systems and quality standards; hire and develop designers; guide visual and interaction design; prototype hands-on; and use customer research and data to create intuitive experiences for complex workflows, analytics, and AI agents.

Underwrite management and professional liability accounts using AI-assisted risk scoring, pricing, and triage. Build broker relationships, issue competitive quotes, bind new business, and manage submission lifecycles. Provide underwriting guidance, analyze complex exposures, and recommend improvements to rates, terms, guidelines, policy forms, and coverage. Represent the company at broker meetings and industry events while contributing market insights to product and underwriting strategies.

Develop and prototype AI agents and agentic workflows for software engineering use cases. Build Generative AI and LLM applications, RAG solutions, integrations with engineering systems and data sources, and automated evaluation methods. Apply software engineering practices such as testing, source control, documentation, and secure development. Document experiments and present findings to leadership while collaborating with mentors and cross-functional teams.

The Director of Clinical serves as Videa’s clinical representative across sales, customer success, product, and marketing. The role leads clinical discussions with dental groups, supports deal strategy, strengthens relationships with DSO clinical leaders, translates clinician feedback into product priorities, and represents the company at industry events. Candidates must have a DDS or DMD, meaningful recent chairside experience, commercial or customer-facing experience, strong executive presence, and credibility with clinicians. Travel of up to 25% is expected.

Three-month AI engineering R&D internship developing and evaluating machine learning and computer vision solutions for future sports medicine technologies. Responsibilities include creating algorithms for medical imaging and navigation, integrating software into the TESSA ecosystem, prototyping AI-enabled workflows, analyzing data, defining metrics, documenting results, and presenting findings to engineering and R&D teams.

Build and deploy applied AI features, LLM applications, VLM tools, and multi-agent systems for customer and internal use cases. Own AI systems end to end, including cloud infrastructure, integrations, access control, evaluation, model selection, monitoring, and production reliability. Collaborate with trading, operations, and backend teams to incorporate energy markets, pricing, demand, and weather data.

Leads Microsoft’s vendor AI FinOps and token economics strategy, governing demand, forecasting, allocation, consumption, optimization, and commercial accountability. Establishes approval thresholds, tracks usage and variances, links token investment to business outcomes, and embeds AI economics into vendor SOWs, renewals, and transformation initiatives. The role also drives model and usage optimization, value realization reporting, and an operating model treating AI consumption as a strategic capacity investment.

Design, implement, and operate production-quality AI framework components, benchmark and optimize large model training and inference across GPUs and Microsoft hardware, build automation and observability, drive cross-team projects from definition to deployment, and provide technical leadership and mentorship for improvements in performance, reliability, and model onboarding velocity.

Leads mixed-methods UX research for an AI productivity experience, combining telemetry, surveys, experiments, interviews, contextual inquiry, usability testing, and agentic evaluations. Identifies user needs, friction, capability gaps, retention drivers, and competitive performance; establishes experience benchmarks; influences product strategy and quality roadmaps; partners with Product, Design, Engineering, and Data Science; and mentors researchers.

Lead enterprise customer implementations from sales handoff through onboarding, training, and Customer Success handoff. Map fashion and retail workflows, teach generative AI techniques, create scalable enablement resources, monitor adoption, and provide product feedback. The role requires deep familiarity with fashion design and product-development tools, strong teaching skills, hands-on generative AI experience, organized implementation management, and willingness to travel for customer training.

Build and improve production AI agents for chip design and verification. Responsibilities include evaluating agent performance, diagnosing failures, developing orchestration, memory, context management, and tool interfaces, and converting experiments into scalable, reliable software. The role requires strong backend architecture, production service experience, Python or TypeScript skills, and cross-functional technical leadership.