Top Artificial Intelligence Jobs

Own evaluation systems and model-quality improvements for a generative content platform producing AI-generated ecommerce content. Build datasets, rubrics, automated judges, quality gates, and labeled training data from brand feedback. Quantify qualitative improvements, establish approval thresholds, and drive fine-tuning or retrieval experiments into production. The role requires strong software and system design skills, production service ownership, formal machine learning or statistics training, and experience measuring correctness in non-deterministic systems.

Owns commercial growth and expansion across strategic enterprise healthcare accounts. Responsibilities include account mapping, pursuit planning, customer discovery, executive engagement, solution and value alignment, deal leadership, negotiation, forecasting, and cross-functional orchestration. The role is quota-carrying and focused on expanding initial AI deployments across workflows, business units, and geographies while building long-term customer partnerships.

Executive finance and operations leader reporting to the CEO, responsible for financial planning, reporting, pricing, commercial strategy, manufacturing, international operations, partnerships, vendor management, enterprise project governance, risk, and transformation. The role advises executive and board stakeholders, drives performance transparency, oversees strategic investments and negotiations, and leads multidisciplinary teams while advancing responsible AI and technology-enabled process improvement.

Own product marketing for a meaningful product area, including customer research, positioning, messaging, go-to-market strategy, launches, adoption, and cross-functional enablement. The role partners with Product, Design, Revenue, CX, Lifecycle, Legal, and Marketing, uses data to measure impact, shapes product roadmaps, and applies AI tools to improve marketing effectiveness.

Leads quantitative systems pharmacology modeling for drug discovery and development. Builds mechanistic disease and drug models, integrates complex biological data, evaluates disease mechanisms and treatment modalities, supports preclinical study design, and informs target prioritization and clinical translation. Collaborates with multidisciplinary research teams, validates modeling methodologies, interprets results, and applies emerging approaches such as AI, machine learning, omics integration, and agentic AI.

Own the Digital Innovation portfolio operating rhythm, including planning, governance, leadership reporting, dependency tracking, risk escalation, and decision follow-through. Lead Jira implementation and adoption by designing workflows, boards, reporting, documentation, training, and integrations. Drive communications, change management, and responsible AI practices while coordinating cross-functional teams, vendors, and enterprise stakeholders.

Designs and demonstrates enterprise cloud data security and data risk management solutions for prospects and clients. Responsibilities include architecting solutions, conducting proof-of-value engagements and use-case demonstrations, consulting with executive stakeholders, coordinating internal resources, supporting complex sales opportunities, and serving as a technical contact for partners. Requires cloud, data security, networking, database, IAM, encryption, privacy, and regulatory knowledge, with travel up to 50% within the assigned territory.

Lead global revenue enablement programs for sales, account management, and customer success teams. Translate AI and product strategy into field messaging, sales plays, certifications, workshops, and manager coaching. Partner cross-functionally with Revenue, Product Marketing, Product, Legal, Sales Operations, and Customer Outcomes to improve productivity, readiness, deal progression, and execution. Use analytics and field feedback to identify performance gaps, define outcome-based metrics, and drive lasting behavior change.

Develop AI tools for GE Vernova’s Power Conversion & Storage engineering teams. Responsibilities include managing data flows and deployment infrastructure, creating data collection and document templates, identifying data for AI tuning, developing engineering agents and interfaces, testing AI effectiveness, and preparing training materials. The role requires enrollment in a bachelor’s or graduate program in Computer Science, Electrical Engineering, or a related field, along with strong communication and problem-solving skills.

Leads global B2B and corporate communications for OpenTable, strengthening relationships with restaurant customers, partners, influencers, and media. Develops communication strategies, manages partnership announcements, promotes product and AI innovation, prepares executives for public appearances, supports crisis and policy responses, and establishes messaging governance, approval workflows, escalation paths, and KPI reporting. The role requires extensive global public relations and corporate communications experience within technology or hospitality.

Lead a portfolio of technology-enabled continuous improvement initiatives for internal operations and DoD customers. Manage product backlogs, write user stories, define roadmaps, gather requirements, and facilitate Agile, Scrum, SAFe, and PI planning activities. Drive Splunk analytics, dashboarding, alerting, AI, ML, automation, proactive monitoring, and predictive analytics solutions. Ensure stakeholder alignment, measurable operational improvements, and compliance with DoD security requirements while maintaining an active Secret clearance.

Lead Vizient’s enterprise AI adoption and enablement strategy by creating scalable training, governance, engagement, solutioning, and measurement frameworks. Partner with technology, product, learning, communications, and change management leaders to align AI initiatives with business priorities, drive adoption, measure value, and influence senior stakeholders. The role also includes executive communications, strategic recommendations, and leadership of up to two direct reports.

Own and negotiate commercial agreements across customers, vendors, partners, marketplaces, technology, data protection, and confidentiality matters. Advise Sales and go-to-market teams on deal structure, risk, and contracting strategy. Build scalable templates, playbooks, approval processes, and self-service resources. Partner with Security, Privacy, Product, Engineering, Finance, and Operations on technology transactions, global matters, revenue considerations, and risk management. Improve contracting efficiency and support broader legal priorities.

Own the customer journey for key corporate accounts, from onboarding and training through adoption, retention, value realization, and expansion. Act as a trusted advisor to audit and finance stakeholders, guide workflow transformation, develop success plans, monitor customer health, and identify growth opportunities. Collaborate with Product, Engineering, Sales, and Solutions Engineering to address customer needs and improve the platform.

Vmax seeks exceptional talent to contribute to an applied research lab developing AI systems capable of open-ended learning. The role is intended for candidates whose strongest contribution may not fit existing positions but who demonstrate unusually strong ability, agency, and ambition. Applicants should show clear evidence of exceptional potential to help advance AI systems beyond the limits of learning from human expertise.

Leads company-wide operational excellence during rapid growth, building scalable processes and coordinating Finance, Legal, People, IT, InfoSec, Compliance, and business operations. The role resolves complex cross-functional problems, supports leadership decisions, anticipates operational risks, and builds a high-performing operations team. Candidates need high-growth and global operating experience, broad ownership across multiple back-office functions, and strong people leadership. Experience in AI, data, or developer tools is advantageous.

Leads the enterprise Workday platform and HR technology strategy, roadmap, governance, operational support, integrations, reporting, security, and continuous improvement. Oversees service delivery, release readiness, audit and SOX compliance, vendors, cross-functional programs, and platform-related risk. Partners with HR, Facilities, Finance, IT, Security, Legal, and Audit while leading a multidisciplinary team and evaluating AI opportunities. The role requires executive stakeholder management, strong Workday expertise, product leadership, and experience in complex regulated environments.

Own and scale Amplemarket’s partnerships channel, including strategy, partner mix, revenue targets, pipeline quality, onboarding, compliance, monetization, and executive relationships. Lead the partnerships team, establish scalable processes and tooling, manage channel conflict, forecast performance, and collaborate cross-functionally with Sales, RevOps, Marketing, Product, Legal, Finance, and Customer Success.

Leads complex AI client projects from requirements gathering through delivery, serving as the primary client contact and coordinating Sales, Operations, Product, and Engineering. Responsibilities include defining scopes and delivery plans, managing risks, quality, timelines, budgets, profitability, and KPIs, resolving execution challenges, and improving scalable processes for AI project delivery.

Leads federal capture and proposal activities from opportunity research and win strategy through submission and post-submission review. Develops customer-focused messaging, discriminators, compliance matrices, schedules, templates, and proposal content. Coordinates SMEs, reviews, solutioning sessions, oral rehearsals, and executive reviews while ensuring compliant, compelling submissions. Monitors federal contracting trends and uses tools, including AI-enabled solutions, to improve proposal quality and competitiveness.

Build and ship AI-native workflows and prototypes for finance/accounting use cases, process large unstructured datasets, iterate with customer feedback, and design analytics-driven evaluation systems to improve product stability and value.

Advise business process owners on SOX compliance and internal controls over financial reporting. Evaluate control design and effectiveness, map financial assertions, manage deficiencies and remediation, support audits, deliver risk reporting and training, and drive process improvements through automation, data analytics, and AI. Mentor junior analysts and monitor regulatory developments, including PCAOB standards and SEC guidance.

Design, build, fine-tune, evaluate, and deploy production-grade ML and LLM systems. Implement transformer models, RAG architectures, and agentic workflows; develop MLOps pipelines, containerized deployments, monitoring, and AI evaluation frameworks; collaborate cross-functionally and provide technical leadership and mentorship.

Two-year graduate program focused on pharmaceutical quality science and manufacturing. Participants rotate through quality laboratories and production facilities, gaining experience in analytical testing, quality systems, deviations, CAPA, change control, compliance, risk management, sustainability, and continuous improvement. The role involves cross-functional collaboration with manufacturing, quality, technical services, R&D, and supply chain teams while developing digital analytics and problem-solving skills.

Lead the global Dedicated Support Engineering function by defining its strategy, building the organization, establishing enterprise customer engagement and technical ownership standards, leading critical escalations, improving reliability, and using AI and automation to scale proactive support. Partner with executives, customers, Product, Engineering, Sales, and Technical Success to drive measurable improvements in investigation quality, mitigation speed, customer confidence, and operational risk reduction.