Top Artificial Intelligence Jobs

Leads enterprise AI/ML architecture and engineering strategy, developing scalable AI-powered applications, agentic and generative AI solutions, streaming data pipelines, and cloud-native platforms. The role uses Python, Java, Spring Boot, Next.js, Kafka, and PostgreSQL while establishing architecture standards, governance, security, and reliability practices. Responsibilities include technical leadership across programs, stakeholder influence, mentoring engineering teams, evaluating emerging technologies, and driving responsible AI adoption.

Own the architecture and development of Klaviyo’s enterprise MarTech ecosystem, connecting marketing data, customer journeys, campaign execution, budgeting, and performance insights. Build AI-powered capabilities including generative AI, predictive scoring, and intent automation. Architect integrations across HubSpot, Salesforce, NetSuite, Coupa, and internal systems, advise on technical designs, support vendor evaluations, and partner cross-functionally to improve marketing efficiency and ROI.

Owns the enterprise architecture of Klaviyo’s marketing technology ecosystem, integrating HubSpot, Salesforce, NetSuite, Coupa, and internal systems. Designs AI-powered marketing capabilities including generative AI, predictive scoring, intent automation, personalization, and customer journey orchestration. Builds a centralized marketing hub spanning budgeting, planning, campaign execution, performance insights, and ROI measurement. Advises cross-functional teams on technical design, integrations, governance, vendor evaluation, and scalable architecture.

Leads the design and implementation of Zscaler’s AI-native talent operating system. Responsibilities include building enterprise talent intelligence, AI-powered skills profiling, internal talent marketplaces, career pathing, workforce mobility, succession planning, and talent architecture. The role partners with Talent Acquisition, HRBPs, People Technology, and People Strategy to translate workforce insights into development, leadership, performance, and retention initiatives.

Designs, operates, and improves enterprise AI platforms and integrations across Azure, Microsoft 365, Power Platform, and related technologies. Establishes governance, security, identity, deployment, observability, cost-management, and production-support standards for AI agents and generative AI solutions. Leads technical initiatives, develops reusable platform patterns, integrates enterprise systems, mentors engineers, and partners with cybersecurity, identity, architecture, legal, finance, and business teams to enable secure and reliable AI adoption.

Develops World Vision International’s policy positions and external influence on children’s digital rights, AI governance, online safety, and digital participation. The role analyzes global regulatory developments, produces thought leadership and advocacy content, represents the organization in policy forums, leads coalition engagement, and advises internal teams and senior leaders. It requires collaboration across international teams and travel of up to 25%.

Leads the Computer Vision Center of Excellence for Wind Engineering by establishing shared standards, platforms, dataset governance, model validation practices, and deployment architectures. Guides 2D/3D, multimodal, edge, cloud, and human-in-the-loop inspection solutions across industrial environments. Mentors practitioners, conducts technical reviews, manages model-risk practices, and translates computer vision performance into reliable engineering products and operational decisions.

Lead Anthropic’s state and local government affairs across Western states. Build relationships with legislators, governors’ offices, attorneys general, agencies, and local officials; track AI legislation and regulation; represent company positions; develop partnerships and policy campaign messaging; manage lobbyists and advisors; and coordinate with policy, communications, legal, and executive teams. Regular regional travel is required.

Lead product design workstreams for AI-powered features and experiences across native mobile applications and websites. Design high-fidelity, production-ready UI and UX artifacts while addressing AI edge cases, failure states, trust, and unexpected outputs. Collaborate with product, engineering, development, and clients; present to senior stakeholders; work within agile processes and enterprise design systems; and guide other designers.

Design and own developer infrastructure for isolated, production-like testing environments. Build CI/CD pipelines, deployment automation, build systems, realistic data and behavior simulation, and infrastructure supporting integration, load, performance, and correctness testing. Enable AI coding agents to test and validate code autonomously while improving engineering velocity, reliability, scalability, and cost efficiency. Partner closely with engineering teams to eliminate development bottlenecks.

Designs and scales agentic AI, automation, data engineering, and cloud solutions for sustainability challenges. Builds trusted data models, pipelines, APIs, quality controls, predictive analytics, and intelligent workflows supporting ESG reporting and environmental decisions. Experiments with emerging AI technologies and deploys secure, reusable, production-ready capabilities using modern DevOps and CI/CD practices while collaborating with sustainability, product, data, architecture, and engineering teams.

Lead StubHub’s AI Engineering team, overseeing shared AI infrastructure, platforms, frameworks, and end-to-end AI solutions. Establish strategy, clarify priorities, manage execution, develop engineers and technical leaders, and promote reliable, safe, observable production systems. Partner across the company to identify high-value AI opportunities, balance platform investments with business needs, and increase organizational adoption and productivity through scalable AI capabilities.

Owns GTM commissions strategy, design, and execution. The role will evolve compensation programs, improve payout accuracy and systems quality, introduce AI-enabled workflows, establish planning-cycle frameworks, provide board-level reporting, and lead cross-functional alignment among GTM, Finance, and Commercial Operations. Responsibilities also include building sustainable quarterly operating cadences, communications frameworks, review processes, and scalable compensation operations for a growing enterprise sales organization.

Develop scalable AI-powered solutions using Salesforce Agentforce, Data 360, Apex, Lightning Web Components, and adjacent AI technologies. Responsibilities include building agents and automations, designing data architectures, prototyping emerging AI capabilities, integrating third-party systems, collaborating with customers and project teams, and translating complex requirements into secure technical solutions. The role also involves maintaining Salesforce certifications, staying current with AI advancements, and traveling up to 25%.

Build and enhance Salesforce Agentforce agents, workflows, automations, and Data 360 architectures. Develop Apex, Lightning Web Components, and JavaScript solutions; integrate Salesforce with external systems; prototype emerging AI technologies; and design scalable data foundations. Collaborate with project teams and customers to define and deliver complex solutions, explain technical concepts, maintain Salesforce certifications, and contribute to AI and Salesforce communities. The role includes up to 25% travel.

Leads the vision, strategy, roadmap, rollout, governance, and adoption of AI coding agents across a global software engineering ecosystem. Oversees platform direction, developer productivity initiatives, team and partner coordination, KPIs, responsible AI controls, security, privacy, compliance, and enterprise risk management. Partners with engineering, architecture, cybersecurity, legal, procurement, finance, and operations teams to scale AI-assisted development capabilities and deliver measurable productivity and quality improvements.

Develops, trains, optimizes, and deploys AI/ML models and automation tools for U.S. Army enterprise initiatives. Responsibilities include preprocessing large datasets, evaluating model performance, deploying solutions in secure on-premises environments, collaborating with stakeholders and technical teams, using Palantir Foundry and Microsoft Copilot, and documenting AI use cases for nontechnical users.

Designs, develops, and leads production voice and conversational AI systems using real-time technologies and large language models. Builds automated customer service, payment, and account-servicing workflows; integrates telephony, databases, payment platforms, and enterprise systems; and implements security, compliance, testing, monitoring, scalability, and reliability controls. Serves as a senior technical resource and mentors engineers.

Leads the creation of motion graphics, video, social, digital, paid media, and AI-enabled content from concept through delivery. Responsibilities include storyboarding, production, editing, motion design, stakeholder presentations, brand alignment, workflow improvement, emerging technology evaluation, and mentoring junior creatives. The role collaborates with marketing, design, merchandising, digital, agencies, and business teams to deliver compelling omnichannel storytelling.

Build and deploy secure AI applications, agents, and workflow automations using Claude, LLMs, APIs, RAG, and agentic workflows. Partner with Finance, HR, Legal, Security, and Compliance teams to automate business processes, integrate enterprise systems, and establish privacy, governance, monitoring, audit, and human-approval controls. Measure business impact and move AI solutions from prototypes into reliable production applications.

Build Third’s AI-powered creative intelligence platform by designing scalable data pipelines, backend infrastructure, databases, third-party API integrations, LLM workflows, semantic search, and end-to-end product features. The role owns architecture, development, deployment, monitoring, and optimization while collaborating with product and creative teams to turn commerce, creator, engagement, and performance data into actionable insights.

Leads analytics across large dermatology claims, EMR, revenue cycle, payer, and provider datasets. Identifies revenue leakage, denial trends, coding opportunities, and reimbursement improvements; develops AI-assisted workflows using Azure AI, Copilot, and LLMs; builds executive dashboards; and supports forecasting, budgeting, payer contract analytics, and strategic planning. Partners with IT, Finance, Revenue Cycle, Clinical Operations, managed care, and executive leadership.

Leads general accounting operations, including period-end close, reconciliations, complex accounting judgments, policies, controls, audits, fixed assets, and tax-related accounting. Oversees accounting systems, finance transformation, automation, AI adoption, and process improvement while partnering with finance teams on reporting and planning. Manages team performance, workload, talent development, and cross-functional execution to ensure accurate, timely, compliant financial information under U.S. GAAP.

Lead the technical vision for AI agents, strategy optimization, and simulation platforms. Integrate governed agents into the engineering lifecycle, build secure data access and continual-learning workflows, advance optimization capabilities, and mature offline simulation for product experimentation. Translate ambiguous business problems into measurable objectives, define architecture and guardrails, decompose strategy into engineer-owned work, mentor distributed teams, and represent the function with technical partners and vendors.

Develop and deploy AI-powered solutions for Mirion’s Medical business units, including computer vision, agentic AI, and LLM applications. Identify operational improvement opportunities, translate business needs into technical solutions, and own projects from prototyping through production and optimization. Partner with manufacturing, quality, service, engineering, IT, and regulatory teams while ensuring compliance with enterprise standards and medical-industry requirements. Communicate outcomes, support adoption, monitor performance, and deliver measurable improvements in quality, productivity, cycle time, and cost.