Top Artificial Intelligence Jobs

Designs, builds, and operationalizes production AI solutions for automotive applications, including LLM applications, RAG pipelines, intelligent agents, predictive models, and generative AI tools. Develops full-stack, cloud-native systems, prototypes AI capabilities, improves prompts and model performance, and integrates enterprise platforms. Collaborates with engineering, product, and data teams while ensuring governance, privacy, security, reliability, and observability standards.

Leads the firm's AI strategy and implementation initiatives by identifying automation opportunities, building AI-powered workflows and agents, integrating AI tools with existing systems, and optimizing solutions across legal and business functions. The role also trains employees, develops documentation and SOPs, manages projects through implementation, and drives organization-wide adoption of AI technologies.

Leads North America Operations’ data product portfolio, roadmap, and technical delivery. Builds and manages multidisciplinary teams across product management, data engineering, analytics, business intelligence, governance, and solution delivery. Translates operational priorities into scalable data products, analytics, automation, and AI capabilities; aligns with enterprise data and technology teams; establishes governance, quality, security, and lifecycle practices; manages partners and vendors; and drives adoption, measurable business value, and continuous improvement.

Leads Zendesk’s global AI Services Consulting organization, establishing strategy, operating models, service portfolios, governance, delivery standards, capacity planning, and commercial performance mechanisms. Builds leadership capability and scalable consulting operations while partnering with Sales, Customer Success, Product, Engineering, Finance, and executive customers. Drives measurable AI adoption, customer value, retention, expansion, delivery quality, and margin through repeatable enterprise services and cross-functional alignment.

Define next-generation data center GPU products by analyzing workloads, especially large language model training and inference. Identify customer opportunities, develop GPU value propositions and product proposals, and collaborate with engineering, operations, field teams, cloud partners, and sales on go-to-market plans, positioning, collateral, and tools. The role requires technical knowledge of GPU, software, and computing architectures, along with 7+ years of technology experience.

Develop, test, deploy, and integrate machine learning solutions across the full ML lifecycle. Collaborate with data scientists to build maintainable code, data pipelines, APIs, tests, and production support processes for GenAI and ML applications. Configure AI/ML infrastructure across AWS, GCP, Azure, Snowflake, OpenShift, and on-premises environments while following coding, risk, and compliance standards.

Leads the strategic vision, requirements, roadmap, development, and launches of AI infrastructure products. Partners with engineering, customers, and industry stakeholders to address scale-out, scale-up, and scale-across needs, leveraging expertise in merchant silicon and NVIDIA and non-NVIDIA ecosystems. Conducts market and competitive analysis, drives innovation, represents the company externally, and influences cross-functional teams and partners.

Leads the enterprise AI Engineering function, managing technical teams and delivering secure, scalable AI and Generative AI solutions. Responsibilities include setting AI roadmaps and engineering standards, implementing ML Ops and governance, developing RAG and agent architectures, deploying production AI applications, and partnering with business, data, manufacturing, supply chain, cybersecurity, and IT stakeholders. The role also drives responsible AI adoption, monitoring, reusable AI services, and measurable operational improvements.

Lead all Citizen product areas, including the consumer app, subscriptions, enterprise products, API, and partner integrations. Rebuild the product architecture, improve retention and revenue, own experimentation and forecasting, and operate AI agents to scale product management work. Collaborate daily with the founder, design, engineering, finance, sales, and operations while setting the product strategy and shipping roadmap.

Own end-to-end product marketing for Handshake AI's frontier lab business: create positioning, translate research to market content, enable sales with playbooks and assets, shape GTM strategy, and drive event and field marketing.

Build and deploy production AI/ML solutions for manufacturing, including predictive maintenance, defect detection, anomaly detection, process optimization, quality prediction, and engineering productivity. Own the full AI lifecycle from data preparation and experimentation through deployment, monitoring, and improvement. Collaborate with manufacturing, quality, equipment, automation, and software teams in an active manufacturing environment.

Develop scalable AI-powered Salesforce solutions using Agentforce, Data 360, Apex, Lightning Web Components, and JavaScript. Responsibilities include building agents, workflows, automations, data architectures, integrations, and customer solutions; collaborating with project teams; explaining technical concepts to stakeholders; maintaining Salesforce certifications; and supporting evolving AI technologies. The role includes up to 25% travel for customer projects and company events.

Leads and develops the AI Platform technical program management team while directly owning complex, cross-functional programs. Drives platform roadmaps, resolves technical and organizational dependencies, coordinates integration and deployment readiness, manages external partners, and improves execution through metrics, planning processes, and automation.

Design, develop, deploy, and maintain machine learning and AI solutions for clinical care and business operations. Coordinate the machine learning lifecycle, implement CI/CD and model-training practices, analyze large datasets, create visualizations and leadership reports, document models, and translate technical findings for business stakeholders. Lead cross-functional projects involving clinical leaders, data engineers, developers, and administrative teams.

Develops and evaluates artificial intelligence and machine learning algorithms for U.S. Government mission systems. Responsibilities include selecting and analyzing data, training and improving models, conducting testing and validation, overseeing system integration, researching AI/ML methods, converting prototypes into scalable solutions, and verifying data and model quality. The role requires collaboration, independent work, and support for critical software and systems under a government contract.

Build production AI agents and the runtime powering them across HR, payroll, benefits, IT, and employee operations. Responsibilities include agent workflows, tool-calling, durable execution, scheduling, observability, evaluations, guardrails, permissions, audit logs, internal automation, and user interfaces across web, mobile, and Slack. The role requires reliable backend and full-stack engineering, production LLM experience, and close collaboration with company leadership.

Develops and deploys AI solutions that automate business processes, improve decision-making, and support innovation. Responsibilities include building AI prototypes and applications, tuning models, analyzing data, integrating enterprise systems, developing generative AI and intelligent search solutions, improving data quality, and partnering with business and IT teams. The role also evaluates AI technologies, documents recommendations, and promotes responsible AI practices involving privacy, security, governance, and ethics.

Summer 2027 Cheminformatics Scientist Intern supporting chemical information analysis and development of an internal curation platform. Responsibilities include back-end and front-end development, documenting methodologies, collaborating with chemists, biologists, data scientists, and product owners, and contributing to Agile development services, systems, backlog grooming, and sprint planning. The role requires programming experience, analytical ability, strong communication, collaboration, accuracy, and interest in responsibly applying emerging AI technologies.

Leads the governance, operating model, portfolio management, and implementation of responsible AI initiatives across a health and care system. Manages intake, prioritization, risks, reporting, stakeholder alignment, vendor coordination, change adoption, and measurable outcomes. Partners with clinical, operational, technical, legal, compliance, and external stakeholders to scale AI solutions responsibly across healthcare workflows.

Leads North American FP&A strategy, budgeting, forecasting, long-range planning, performance analysis, and financial modeling across wholesale and direct-to-consumer channels. Partners with executives to identify risks, opportunities, profitability improvements, pricing and margin strategies, and resource allocation actions. Oversees financial planning processes, aligns regional and global finance activities, and manages and mentors finance professionals.

Develop predictive models, algorithms, quantitative analyses, and visualizations from structured and unstructured data. Collaborate with clients to understand business and mission needs, uncover insights, guide teammates, and translate complex datasets into actionable recommendations. The role uses programming, statistical analysis, machine learning, and distributed computing techniques across public and private-sector challenges.

Supports the global ethics and compliance program through Integrity Line administration, case intake and triage, investigations coordination, compliance reporting, policy governance, training administration, and remediation tracking. Administers compliance platforms, maintains dashboards and documentation, manages the compliance web page, and supports process improvements, technology enablement, workflow automation, and AI initiatives. Partners with Legal, HR, Internal Audit, Information Security, IT, Privacy, and business stakeholders across the organization.

Lead business development and capture strategy for Snowflake’s US Public Sector market. Identify and qualify large government opportunities, build multi-year pipelines, engage federal and state/local stakeholders, coordinate systems integrators and alliance partners, develop RFI/RFP responses, formulate cloud and AI solutions, and guide bid/no-bid decisions. The role requires extensive Federal/DoD capture experience, knowledge of procurement processes, a record of winning multimillion-dollar programs, and responsibility for pipeline and bookings performance.

Develop and deploy responsible AI solutions that identify, measure, and mitigate bias across Pinterest’s large-scale machine learning applications, including generative AI, search, and recommendation systems. Collaborate with trust and safety, user modeling, content understanding, and engineering teams to adopt fairness tooling and practices. Mentor engineers, contribute to technical strategy, and bridge advanced research with product impact.

Leads strategy, roadmap, development, and adoption of AI-powered enterprise workflow products across HR, Finance, Procurement, and related functions. Identifies scalable AI and automation opportunities, translates business needs into product capabilities, partners with engineering and platform teams, manages the full product lifecycle, and drives adoption, metrics, executive communications, and measurable business outcomes.