Top Artificial Intelligence Jobs

Researches digital workplace infrastructure and operations, develops market insights, advises senior IT executives, analyzes vendors and operating models, presents recommendations, supports sales and client engagements, and mentors analysts. Focus areas include AI-driven automation, endpoint management, DaaS, VDI, digital employee experience, productivity, and modern end-user services.

Design, prototype, develop, document, test, and debug software solutions for semiconductor equipment components and devices. Troubleshoot software issues, communicate with internal customers to understand requirements, and contribute to innovative software solutions involving machine learning and AI. This full-time role begins in Summer 2027 and includes approximately 10% travel.

Leads multiple .NET development teams and QA functions delivering secure, scalable Azure-hosted applications. Establishes Agile delivery practices, engineering metrics, testing standards, CI/CD and DevSecOps processes, application security controls, and production support practices. Drives adoption of AI-assisted development tools and leads AI-driven and agentic solution delivery. Partners with architecture, security, cloud, product, and business stakeholders while managing hiring, coaching, technical debt, compliance, and continuous improvement.

Leads strategic pricing and monetization across sales-driven channels, managing pricing partners and advising on complex commercial deals. Develops pricing frameworks, approval processes, deal governance, and scalable tools using automation, AI, and data. Partners with Sales, Product, Engineering, Legal, Risk, and Revenue Operations to improve deal economics, profitability, pricing performance, packaging, and portfolio-level monetization strategy.

Own demand generation strategy and marketing-sourced pipeline targets. Build evidence-based account programs, self-serve and agent-first funnels, multi-channel campaigns, event and partner programs, and an AI-native demand stack. Partner with Sales, RevOps, Product Marketing, and Communications while hiring and leading a growth marketer. The role requires extensive B2B demand-generation experience, hands-on use of Salesforce, HubSpot, Clay, and HeyReach, and the ability to market complex technical products to industrial and technical buyers.

Leads systems engineering strategy within a Digital Engineering and AI council, defining standards, roadmaps, adoption metrics, and reusable practices. Embeds with programs to coach teams and integrate model-based systems engineering, digital workflows, AI-supported techniques, and traceability across requirements, architecture, analysis, design, and verification. Tracks adoption, reports outcomes, supports transition to team ownership, and provides ongoing subject-matter expertise across defense engineering programs.

Lead Model Based Systems Engineering initiatives across programs, applying MBSE processes, SysML, UML, UAF, MagicDraw, and Cameo. Guide total MBSE development activities, develop modeling strategies, solve complex engineering problems, and collaborate with leadership and project teams. Contribute to training materials, engineering best practices, Agile-MBSE adoption, digital engineering solutions, and the transition to a cloud-based digital enterprise.

Participate in a rotational analyst development program focused on using data and technology to analyze performance trends, identify business opportunities, and support insurance operations. Complete training, mentorship, and rotational assignments while developing strategic, technical, analytical, communication, and business skills. Use tools such as Excel, SQL, Python, R, SAS, Snowflake, Power BI, and emerging AI technologies to generate business insights.

Leads high-priority strategy initiatives focused on AI and data in financial services. Develops executive-level analyses and strategy materials, monitors industry trends, evaluates firmwide priorities, leads cross-functional project teams, aligns stakeholders, and coaches strategy team members.

Supports pharmaceutical Quality Control laboratory operations by administering, validating, integrating, and improving computerized systems and digital solutions. Provides technical support for instrumentation, LIMS, ELN, and laboratory software; manages validation, qualification, change controls, deviations, CAPAs, audits, and data integrity compliance. Partners with IT, Quality, vendors, and laboratory stakeholders to implement automation, artificial intelligence, analytics, and digital workflows in a GMP-regulated environment.

Leads strategic qualitative and quantitative pharmaceutical market research across product commercialization, including research design, sampling, data analysis, insight generation, competitive intelligence, vendor management, and actionable recommendations. Partners with Marketing, Sales, Market Access, Medical Affairs, and executive leadership while leveraging AI-enabled tools to accelerate research and analyze complex data. The role is based in New York City with at least three on-site days weekly and up to 10% travel.

Own end-to-end growth design for ChatGPT, spanning discovery, onboarding, activation, engagement, conversion, and retention. Develop hypotheses, prototypes, and polished experiences; use data, experimentation, research, and qualitative insights to improve outcomes. Partner with product, engineering, data science, research, and go-to-market teams while translating complex AI capabilities into intuitive, trustworthy products. Contribute product vision, reusable design patterns, and high-quality interaction and visual design.

Own and advance Zscaler’s global go-to-market onboarding program for Account Executives, SDRs, and Partner Sellers. Design cohort-based, self-paced, and AI-driven learning experiences; facilitate global sessions; coach subject matter experts; align Sales, Operations, Product Marketing, People, and Enablement; and measure ramp effectiveness through metrics such as time to first deal and pipeline velocity.

Design, develop, deploy, and support foundational AI systems, including LLM inference, agentic workflows, vector search, model evaluation, governance, and observability. Optimize large-scale AI systems for cost, latency, throughput, scalability, and hardware utilization. Architect multi-model orchestration pipelines, establish AI engineering standards, lead technical reviews, and mentor senior engineering leaders while applying emerging research responsibly in production.

Leads an AI/ML engineering team responsible for enterprise connectors, plugins, MCP servers, and integrations across Microsoft, OpenAI, Anthropic, and Google platforms. Oversees team development, intake, technical quality, secure configuration, governance reviews, testing, release readiness, operations, incident response, vendor partnerships, and continuous improvement. Partners with product, business, architecture, security, legal, privacy, identity, and platform teams to deliver reliable, auditable AI integration services.

Serve as the technical partner to enterprise sales teams, leading discovery, solution design, demonstrations, architecture reviews, prototypes, and technical proposals. Build tailored AI agent solutions, explain business value to technical and non-technical stakeholders, manage multiple concurrent deals, and collaborate with Sales, Product, and Agent Engineering to improve Sierra’s platform and go-to-market strategy.

Drive enterprise sales and business development across state government healthcare accounts. Build executive relationships, identify and advance opportunities, navigate public-sector procurement and funding cycles, and position healthcare data, interoperability, analytics, and AI solutions. Develop territory and account strategies, coordinate cross-functional teams and partners, manage forecasts, represent the company at industry events, and serve as a trusted advisor to government and healthcare leaders.

Leads enterprise DevSecOps strategy, governance, standards, automation, and secure software delivery. Oversees GitHub, Azure DevOps, CI/CD, source control, infrastructure as code, application security testing, release management, and AI delivery controls. Partners with security, risk, audit, engineering, and technology teams to improve delivery maturity and reliability. Builds and manages teams, drives adoption through coaching, tracks engineering effectiveness, and reports on risk and continuous improvement.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Owns employee lifecycle operations, including onboarding, offboarding, leave and benefits administration, HR data accuracy, compliance, audits, employee escalations, documentation, and workflow automation. Serves as a subject matter expert on benefits, leave, and HR compliance while partnering with Payroll, Talent, IT, Workplace, and People teams to scale processes and support employees.

Leads the vision, strategy, roadmap, and outcomes for Copart’s search and discovery products. Owns search relevance, ranking, filtering, recommendations, personalization, and marketplace discovery. Partners with Engineering, Data, Design, Operations, Marketing, and Support to deliver scalable products, define KPIs, run experiments, and improve customer experience. Manages and develops Product Managers while aligning senior stakeholders on priorities, dependencies, risks, and measurable business outcomes.

Own Gradial’s product marketing strategy, positioning, category creation, launches, competitive strategy, customer storytelling, sales enablement, and analyst relations. Partner with founders, product, sales, and customers to translate complex AI capabilities into compelling narratives for technical and business audiences. Build scalable messaging and customer advocacy programs while helping establish the company as a category-defining enterprise marketing platform.

Develops AI and legal technology certification programs, curriculum, instructional content, and academic engagement initiatives for law schools. Coordinates cross-functional marketing, communications, creative, events, and partnerships efforts; manages ongoing campaigns, conferences, thought leadership, and performance measurement. Researches legal education trends and represents Clio within the legal academic community. The role is remote in the United States and requires conference and event travel.

Leads AI customer adoption and enablement across regional Customer Success teams. The role supports onboarding, training, workflow configuration, prompt engineering, usage monitoring, technical escalations, and adoption recovery. It partners with customers, Product, Engineering, Support, and Solutions Engineering to improve AI value realization, retention, and referenceability. The role also guides organizational change and helps customers reinvest capacity created by AI automation.

Serves as a senior Workday functional expert responsible for configuring and administering HCM, Recruiting, Talent, Absence, and Compensation modules. Manages security, reporting, data integrity, system releases, testing, troubleshooting, audits, and stakeholder requirements. Evaluates and pilots emerging Workday AI capabilities while partnering with HR, IT, business leaders, and auditors to improve processes and workforce insights.