Top Artificial Intelligence Jobs

Lead the operating system for Figma’s internal AI tooling portfolio. Translate product roadmaps into integrated plans, milestones, release schedules, governance, and measurable outcomes. Coordinate Product, Engineering, Security, Legal, Procurement, Data, IT, and business stakeholders while managing dependencies, risks, decisions, and operational handoffs. Establish intake and planning processes, facilitate reviews, coordinate security and vendor milestones, and ensure releases have ownership, support processes, runbooks, and adoption readiness.

Manage local SEO execution across multiple client accounts, including Google Business Profiles, localized website and social content, citations, reviews, reputation management, and technical SEO. Maintain consistent business information across directories and AI discovery platforms, use AI tools for hyperlocal content, and collaborate with Account Managers. Participate in occasional client discovery calls and support quarterly content alignment.

The Acquisition Sales Specialist sells CoCounsel solutions to new law firms by meeting sales targets through outbound prospecting, managing leads, and utilizing Salesforce for tracking interactions and sales forecasting.

Lead cross-product discovery and define Felix’s conversational, generative, and declarative UI platform. Ship the initial experience on WhatsApp, establish patterns for native iOS and Android, guide product designers across squads, and design compliant financial interactions with legal and risk partners. Conduct research, analyze transcripts and analytics, prototype in Figma and code, generate concepts, and set direction for how products, context, and assistant behavior work together across conversational surfaces.

Drive enterprise SaaS growth by sourcing and closing new business, managing complex sales cycles, exceeding quotas, nurturing executive relationships, identifying process gaps, demonstrating solutions, and collaborating with marketing, sales development, sales engineering, customer success, professional services, and legal teams.

Provides legal and regulatory counsel on technology, artificial intelligence, privacy, data protection, consumer protection, AI governance, and technology vendor relationships. Advises product, technology, compliance, and business teams throughout the AI lifecycle; monitors regulatory developments; supports policy development, risk mitigation, training, and responsible AI practices. The role requires collaboration across legal and business functions and includes guidance on emerging AI regulations and technology transactions.

Leads clinical development and research operations for GE HealthCare’s ultrasound AI programs. Owns clinical quality, protocol review, scanning execution, sonographer qualification, system readiness, site launch decisions, training, compliance, escalation, and process improvement across internal and global scanning sites. Requires hands-on ultrasound expertise, clinical research knowledge, and collaboration with study teams, clinicians, sonographers, and research partners. The role is onsite in Waukesha, Wisconsin, with occasional travel.

Leads business development for Suffolk’s Palm Beach County construction market by identifying and qualifying opportunities, building relationships with architects, engineers, developers, owners, agencies, and associations, and developing account and capture plans. Manages CRM activity, supports proposals and interview packages, partners with marketing and project teams, translates corporate strategy into regional plans, analyzes market data, and represents the company at industry events and client engagements.

Conduct fundamental research on novel large-scale generative AI methods, particularly for biomolecular and scientific applications. Design and implement models, publish original research, collaborate with research and product teams, present at conferences, and transfer technology to products. The role requires strong mathematical foundations, generative AI expertise, scientific data modeling experience, programming skills, deep learning framework knowledge, and a strong research record.

Leads technical execution for an embedded AI innovation squad, taking prototypes from discovery through production. Designs reusable agentic AI architectures covering orchestration, tool use, memory, retrieval, integrations, security, and governance. Works with stakeholders to define requirements, makes architecture decisions, develops reference implementations, and establishes measurable outcomes. Provides infrastructure and budget recommendations, resolves complex technical issues, manages delivery dependencies, serves as the primary AI and coding expert, and mentors engineers while evaluating emerging technologies.

Design, build, deploy, and optimize production AI systems, including LLM integrations, RAG pipelines, embeddings, vector search, predictive models, and inference systems. Collaborate with product and engineering teams to translate business needs into scalable solutions for recommendations, risk scoring, forecasting, and workflow automation. Own data pipelines, monitoring, evaluation, security, privacy, documentation, and continuous model improvement across cloud environments.

Supports aluminum flat-rolled product and process development through laboratory, pilot-scale, and plant trials. Optimizes homogenization, rolling, heat treatment, and quenching processes; conducts alloy development, metallurgical characterization, experiments, and performance investigations. Compiles results using LIMS, collaborates with manufacturing and research teams, manages multiple workstreams, improves R&D methods and equipment, and contributes to intellectual property and innovation.

Own and evolve enterprise SaaS and cloud platforms, including Microsoft 365, Entra ID, Intune, and Power Platform. Design integrations, access models, SSO, governance, and automation using PowerShell, APIs, workflows, and AI agents. Partner with IT, security, and business teams to improve scalability, security, provisioning, audits, user experience, and operational processes. Analyze platform usage and risks to guide roadmap decisions while maintaining ITIL-aligned change management.

Manages quality assurance and regulatory affairs for North American clinical laboratory operations and digital pathology products. Responsibilities include audits, CAPAs, deviations, incident investigations, validation, inspection readiness, regulatory submissions, post-market surveillance, regulatory gap assessments, privacy compliance, training, and quality metrics. The role requires expertise in US laboratory regulations, FDA requirements, clinical services, medical devices, and quality management systems, with approximately 10% international travel.

Leads Clover Health’s Medicare Advantage Actuarial Strategic Operations Command Center and its financial operations team. Responsibilities include enterprise performance monitoring, KPI and dashboard development, initiative portfolio governance, financial integration, executive decision support, AI-enabled analysis and automation, cross-functional alignment, and team development. The role translates actuarial, operational, and financial insights into strategic recommendations while managing priorities, capacity, quality standards, and organizational change.

Own Norm Ai’s brand events strategy and execution, including flagship programs, executive forums, policy gatherings, partnerships, speakers, audiences, production, budgets, vendors, and on-site delivery. Build an events roadmap, identify strategic market opportunities, advise leadership, prepare executives for public appearances, and measure programs by audience quality, influence, relationships, and brand impact.

Work directly with the CEO on high-impact operations, growth, finance, sourcing, and special projects. Build AI-powered workflows, internal tools, dashboards, and automation systems; improve fulfillment, customer experience, supply chain coordination, forecasting, reporting, and unit economics. Own ambiguous problems from analysis through execution in a demanding, onsite startup environment.

Analyzes wafer fabrication, equipment, sensor, metrology, and manufacturing data using AI, machine learning, statistics, and data-mining techniques. Develops data pipelines, analytical tools, dashboards, deployed models, and monitoring methods for anomaly detection, yield prediction, excursion analysis, and root-cause investigation. Collaborates with engineering, manufacturing, MES, and AI/ML teams to translate results into actionable insights, support experiments, improve processes, and establish responsible AI and data-quality practices.

Leads the organization’s learning and development strategy, partnering with leaders and subject matter experts to identify capability gaps and create measurable learning solutions. Oversees onboarding, technical, leadership, compliance, and professional development programs; advances learning technology and AI-enabled tools; manages the L&D team, vendors, budgets, and resources; and evaluates learning effectiveness through data and performance measures.

Leads user support as a consultative IT service organization, partnering with business leaders and corporate IT to improve enterprise technology adoption and service outcomes. Oversees incident, request, and problem management; drives automation, self-service, root-cause analysis, metrics, modernization, communication, and change readiness. Develops support managers and specialists while aligning priorities with enterprise strategy and using business insights to influence technology decisions.

Own Savvy’s enablement engine for Sales and Operations by designing onboarding, ramp, recurring training, certifications, coaching, and performance interventions. Partner with leaders and subject-matter experts to translate complex products and processes into engaging, practical learning. Diagnose capability gaps, measure ramp and productivity outcomes, build scalable knowledge systems, and use AI to personalize simulations, coaching, and learning content.

Provide legal and compliance support for AI across its lifecycle: risk assessments, governance framework implementation, contract review, regulatory tracking, training, and audit readiness to enable responsible AI adoption in a regulated life sciences environment.

Leads controllership and G&A accounting, monthly close, financial reporting support, and internal controls. Drives finance transformation through Oracle Fusion, automation, AI, analytics, process standardization, and close modernization. Partners with Finance, Technology, Audit, Treasury, Procurement, and external auditors to improve scalability, governance, accuracy, and reporting. Provides leadership, coaching, and development for accounting teams while supporting U.S. GAAP compliance and operational efficiency.

Designs, develops, and supports secure AI-powered applications, agents, APIs, integrations, and workflow automations. Builds Generative AI solutions using LLMs, prompt engineering, retrieval patterns, and enterprise data. Responsibilities include full software delivery lifecycle participation, AI output evaluation, stakeholder collaboration, secure engineering, governance, monitoring, risk controls, and operational readiness.

Leads global engineering process optimization across product lines, improving efficiency, quality, reliability, cycle time, and productivity. Standardizes DFSS, requirements traceability, FMEA, design quality, and continuous improvement practices. Deploys AI-enabled engineering tools and digital technologies, aligns workflows with PLM and engineering systems, establishes performance metrics, and drives adoption across global teams. The role is onsite in Westerville, Ohio, or Novi, Michigan, with 10–20% domestic and international travel.