Top Artificial Intelligence Jobs

Leads a new GTM Engineering function, setting technical strategy and managing 2–3 engineers while remaining hands-on. Builds production systems connecting marketing, sales, product, and data platforms; orchestrates GTM workflows; improves prospect qualification and routing; establishes measurement and experimentation; and applies AI with evaluation, testing, and human oversight. The role uses TypeScript, Node.js, Customer.io, Salesforce, Snowflake, and Haskell integrations.

Develops scalable, production-ready AI/ML and generative AI models, training, evaluation, and inference pipelines in Python. Deploys and manages models using MLOps, CI/CD, containerization, and microservices. Requires expertise with PyTorch and TensorFlow, substantial relevant experience, and an active Top Secret clearance with willingness to obtain a polygraph.

Own and grow a strategic global OEM account by executing account plans, building senior customer relationships, managing multi-product pipelines, forecasting accurately, achieving revenue and margin goals, identifying strategic opportunities, and representing customer needs internally. The role requires cross-functional influence, global account management, technical sales expertise, CRM discipline, and proficiency with Microsoft Office and Salesforce.

Oversee AI enablement efforts, lead teams to deliver enterprise AI solutions, integrate security, and translate business needs into technical strategies.

Design, develop, deploy, and support full stack applications with AI as a core capability. Build custom AI assistants and agents, implement prompt engineering and MCP integrations, and connect applications to LLMs, embeddings, search, and RAG systems. Own features across the software lifecycle while ensuring scalability, security, reliability, and performance. Use AI-assisted development tools to improve coding, testing, documentation, refactoring, and engineering productivity.

Software Engineering Intern developing full-stack applications, AI agents, intelligent automation, MCP-enabled applications, monitoring tools, and enterprise platforms. Responsibilities include designing scalable software, integrating APIs and databases, creating analytics and system health capabilities, collaborating cross-functionally, and supporting secure, reliable continuous improvement. The role offers hands-on experience with modern programming languages, cloud-native technologies, AI-enabled development workflows, and enterprise software solutions.

Design, develop, deploy, and support full stack applications with AI as a core capability. Build AI assistants, custom agents, MCP integrations, RAG solutions, and LLM-powered workflows. Develop scalable applications using C#, ASP.NET, Angular, APIs, databases, cloud-native technologies, CI/CD, containers, and Kubernetes. Own features throughout the software lifecycle while applying AI-assisted development practices and maintaining security, reliability, performance, and production quality.

Leads managers and team leads responsible for customer success and fintech product adoption. Develops operating plans, performance rhythms, hiring and onboarding programs, and coaching practices. Uses Salesforce, Snowflake, Omni, analytics, AI, and automation to improve engagement, conversion, retention, productivity, and financial product adoption. Partners cross-functionally on launches and go-to-market initiatives while ensuring responsible selling, disclosures, risk policies, and regulatory compliance.

Lead product vision and strategy across Kiva’s B2C and B2B audiences, initially focusing on high-net-worth individuals. Identify opportunities, prioritize problems, define KPIs, conduct user research, shape requirements and prototypes, and partner with engineering, design, marketing, and strategic partnerships to deliver impactful products. Own roadmap communication, tradeoffs, experimentation, and results while supporting growth and financial inclusion.

Develops and manages strategic communications for LLNL science and technology initiatives, including the LDRD program and Academic Engagement Office. Responsibilities include writing, editing, storytelling, presentations, reports, social media, multimedia content, communications planning, project scheduling, stakeholder coordination, quality assurance, metrics, and process improvement. The role translates complex scientific and technical information for varied audiences while collaborating with executives, scientists, designers, editors, and administrative staff.

Field-based medical science liaison supporting AbbVie’s gynecologic oncology portfolio. Builds relationships with healthcare professionals, thought leaders, researchers, and academic centers; presents scientific and therapeutic information; supports clinical research and investigator initiatives; answers unsolicited medical questions; trains internal teams; collaborates cross-functionally; and maintains compliant documentation and territory budgets.

Lead and develop CSMs supporting strategic law firm accounts. Own retention, expansion, adoption, renewals, and customer value across complex enterprises. Coach teams, engage senior stakeholders, manage escalations, coordinate Sales, Product, Engineering, Legal Engineering, and Security, and influence product direction through customer insights. The role requires strong enterprise account leadership, analytical judgment, change-management expertise, and the ability to navigate law firm structures and technology adoption.

Lead product strategy, roadmap execution, and measurable outcomes for an AI-enabled refinance title decisioning platform. Translate strategy into requirements, user stories, and acceptance criteria; prioritize initiatives against OKRs; and partner with engineering, data science, operations, sales, and marketing. Monitor product health, accuracy, costs, service levels, and performance through metrics and dashboards. Manage stakeholders, customer onboarding, continuous improvement, and automation opportunities across a regulated real estate workflow.

Own the roadmap and delivery of Procore AI Go, a native conversational AI app for construction. Lead the product from beta to wide release, define AI-powered mobile experiences, connect the app to project data, and determine how AI capabilities integrate across Procore products. Partner with UX, Engineering, customers, and stakeholders to understand field workflows, prioritize opportunities, ship polished experiences, and measure product quality and outcomes.

An 11-week cybersecurity internship supporting DevSecOps, application security, vulnerability and threat exposure management, cybersecurity risk reporting, security automation, AI-enabled security, and technology asset management. Interns will analyze vulnerabilities and security data, test security tools, research emerging practices, create dashboards and reports, document findings, and communicate risks and remediation recommendations across technical and business teams.

Lead business value assessments for enterprise, education, and government customers adopting OpenAI technology. Build ROI, TCO, value models, executive business cases, KPI frameworks, dashboards, and reusable value-selling assets. Partner with Sales, Product, Solutions Architecture, Security, and post-sale teams to identify AI use cases, quantify financial and operational impact, support investment decisions, and influence renewals and expansions.

Lead value assessments for enterprise, education, and government customers adopting OpenAI technology. Build ROI, TCO, and value models; identify high-impact use cases; establish KPIs and dashboards; and create executive-ready business cases. Partner with sales, product, deployment, and post-sale teams to support investment decisions, renewals, and expansion. Develop scalable value frameworks and thought leadership for AI-driven business transformation.

The AI Operations Lead will identify operational bottlenecks, build AI automations and workflows, and drive cross-team collaboration to enhance efficiency and establish internal AI foundations.

Own onboarding, implementation, training, and ongoing success for fintech clients using AI-driven underwriting and decisioning solutions. Manage a book of business, build relationships, lead client meetings, resolve workflow and integration issues, monitor success metrics, identify expansion opportunities, and communicate customer feedback internally. The role requires expertise in financial services, underwriting, credit risk, lending workflows, AI applications, CRM systems, and customer success operations.

Leads the strategy, technical direction, and delivery of insurance data science across pricing, underwriting, cost modeling, demand modeling, and growth. Oversees predictive modeling standards, model lifecycle governance, engineering collaboration, regulatory alignment, and production deployment. Builds and develops a high-performing data science organization while partnering with actuarial, product, underwriting, pricing, and executive leadership to connect analytical work with profitability and business outcomes.

Serves as the primary technical advisor for industrial hygiene and safety engineering initiatives. Develops hazard-control strategies, conducts exposure assessments, evaluates robotics and automation risks, supports facility modernization, and delivers onsite surveys and executive reports. Leads risk reduction projects, tracks KPIs, provides coaching and training, and advises stakeholders on regulatory and consensus standards. The role is remote with up to 35% overnight travel across U.S. and international customer locations.

Senior GEOINT Systems Engineer supporting enterprise architecture, systems integration, requirements traceability, engineering analyses, and modernization initiatives across NGA mission systems. Leads architecture gap analyses, trade studies, integrated project teams, project planning, CONOPS development, roadmaps, and transitions to operations. Requires systems engineering lifecycle expertise, experience with complex government or industry systems, and a TS/SCI clearance.

Leads product strategy and development for PayPal Pay Later developer experiences. Owns merchant discovery, evaluation, integration, and launch across APIs, SDKs, third-party platforms, and PSPs. Defines technical roadmaps, requirements, workflows, and customization patterns while balancing customer needs, regulations, profitability, and time to market. Uses research, analytics, competitive analysis, and cross-functional collaboration with technical, design, data, and strategy teams to scale BNPL products.

Leads third-party cyber and technology risk assurance, including strategy, governance, control assessment, remediation, regulatory alignment, reporting, and risk analytics. Partners with control owners, procurement, legal, security, and business stakeholders to strengthen third-party controls and contractual protections. Uses authorized AI to synthesize evidence and support executive reporting while validating outputs for security, auditability, and regulatory compliance. Drives continuous improvement and manages complex cross-functional initiatives.

Leads enterprise cloud platform adoption across business lines by advising engineering teams on architecture, onboarding, migration, governance, networking, and identity. Builds automation and self-service tooling, develops documentation and training, evaluates infrastructure technologies, and translates customer feedback into platform improvements. Applies enterprise-authorized AI responsibly within engineering workflows while validating recommendations for resiliency, security, auditability, and data sensitivity.