Top Artificial Intelligence Jobs

Lead the engineering team to develop Tulip's new agent-native app-building product, managing technical architecture and fostering AI-driven development practices.

Evaluate emerging dual-use technologies for technical maturity, feasibility, scalability, integration risk, and commercial or government applications. Provide technical input to investment and accelerator decisions, advise on product direction and roadmaps, support technology transition, and participate in reviews with leadership, industry, government, and innovation partners. The role leverages operational perspective, technical judgment, field experience, and mission-driven problem-solving to connect technical capabilities with real-world applications.

Drive technical sales for Microsoft Azure and AI solutions serving state and local government customers. Lead architecture workshops, demonstrations, proofs of concept, migrations, and modernization initiatives across hybrid and cloud environments. Design secure, scalable, resilient, and compliant infrastructure using Azure services, networking, containers, enterprise applications, and partner technologies. Build trusted customer relationships, resolve technical blockers, collaborate with engineering and partners, and guide adoption of cloud, security, resiliency, and AI capabilities.

Drive technical sales and customer adoption of Microsoft’s cloud and AI platforms through demonstrations, proofs of concept, hackathons, and architecture workshops. Design secure, scalable AI and cloud-native application solutions, resolve technical blockers, and guide production deployments. Build relationships with developers and platform leaders while maintaining expertise in AI Foundry, Azure AI, responsible AI, application modernization, and AI management and security.

Drive complex AI data programs from researcher intake through compliant acquisition, preparation, access, refresh, and deletion. Coordinate research, product, engineering, legal, privacy, security, Responsible AI, procurement, and external partner teams. Establish requirements, milestones, ownership, controls, data quality processes, lifecycle operations, risk management, and reporting mechanisms to deliver secure, researcher-ready data while maintaining provenance, permitted-use documentation, and compliance.

Executes ETL pipelines, data ingestion, analytics production runs, and machine learning inference operations for a government supply chain program. Maintains pipeline automation using Python, SQL, and orchestration tools; monitors model performance, validates data quality, produces Red Team and Blue Team analytics, documents workflows, and supports configuration releases under technical oversight.

Build and maintain internal agentic AI platforms and developer-facing tools that integrate LLMs with engineering workflows. Partner with product and infra teams to design standards for agent deployment, reliability, evals, security, onboarding, and adoption measurement to improve developer productivity.

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Lead full‑stack development of React Native mobile apps and Node.js backends for digital therapeutics. Own architecture, build CI/CD and AWS infrastructure, design multi‑agent AI workflows, mentor engineers, and resolve cross‑cutting production issues.

Lead product strategy and execution for signals exploitation and tracking capabilities. Define roadmaps, shape backlogs with customers and product owners, support architecture and design reviews, and drive development and demonstration of advanced algorithms and software for DoD and Intelligence Community missions. Balance reuse, integrated system offerings, and component supply-chain opportunities while leading engineering teams through the Agile lifecycle and supporting technical marketing and business development.

Assist with AI platform support, user onboarding, troubleshooting, training, documentation, responsible AI governance, and adoption reporting. The apprentice will learn from senior team members while collaborating with business and technical teams across the organization. Success requires curiosity, service orientation, communication skills, reliability, learning agility, and foundational comfort with productivity and collaboration tools.

Lead end-to-end delivery of a high-visibility real-time technology platform, coordinating business stakeholders and engineering teams. Translate requirements into technical tasks, API specifications, and sprint backlogs; facilitate Agile ceremonies; manage risks, dependencies, milestones, and project health reporting. The role requires strong software delivery, consulting, stakeholder management, SDLC, and Agile expertise, with on-site availability in Irvine two to three days weekly for an estimated six-month engagement.

Own Firecrawl’s commercial and product legal function, negotiating enterprise, data-licensing, vendor, and partnership agreements. Advise sales, BD, product, and engineering on AI, data access, privacy, intellectual property, and regulatory matters. Build contracting templates, playbooks, approval processes, policies, and compliance programs while managing outside counsel and independently handling novel legal issues.

Own customer support tickets from initial response through resolution, troubleshoot hardware and software issues, coordinate repairs and escalations, analyze support data for recurring problems, and develop proactive self-service systems. The intern will build deep product knowledge across robotics, AI, hardware, software, and the Matic app while creating AI-powered support tools and collaborating with Engineering, Product, Marketing, and Operations.

Lead end-to-end development of a greenfield enterprise platform for software dependency risk management. Build Java services, APIs, data ingestion pipelines, dependency analysis capabilities, and developer-facing features on AWS. Guide engineers and teams in secure AI-assisted development, code quality, testing, governance, and operational stability. Provide technical direction, influence architecture and product decisions, support production systems, and collaborate with product managers and designers to deliver scalable platform capabilities.

Participate in a remote paid interview about daily accounting workflows and the use of AI assistants. Discuss practical accounting tasks, AI integration, efficiency gains, limitations, hypothetical scenarios, and software usage. Candidates should be active accountants or finance professionals who regularly use AI tools and can explain detailed financial workflows.

Build and operate production AI agents and agentic workflows for Workstream’s AI-Native Services initiative. Responsibilities include architecture, customer-specific workflow implementation, evaluation harnesses, human-review tooling, monitoring, incident response, and productizing bespoke solutions into reusable agents and integrations. This founding engineer role requires strong judgment across AI systems, APIs, data, permissions, observability, and deterministic controls, plus direct customer engagement and the ability to operate effectively in zero-to-one environments.

Build and operate production AI agents and agentic workflows for Workstream’s AI-Native Services initiative. Lead architecture, evaluations, monitoring, human-review tooling, integrations, permissions, and production incident response. Work directly with design customers to map workflows, validate systems through shadow runs, and turn bespoke implementations into reusable agents and playbooks. This founding engineer will establish technical standards and help scale the team.

Build and operate production AI agents and agentic workflows for Workstream’s AI-Native Services initiative. Responsibilities include orchestration, integrations, permissions, evaluation harnesses, human-review tooling, monitoring, shadow-mode testing, incident response, and productizing customer-specific solutions. The role is a founding engineering position with significant ownership over architecture, reliability, reusable components, and technical standards while working directly with design customers.

Build and own internal AI systems from prototype through production, including agents, workflow integrations, document assistants, and CRM tools. Translate workflow problems into technical requirements, develop reliable applications, implement evaluations and observability, design security and human review controls, deploy services, and improve systems using failure data. Collaborate directly with nontechnical colleagues and document solutions for maintainability.

Build and operate production AI agents and agentic workflows for Workstream’s AI-Native Services initiative. Responsibilities include orchestration, integrations, evaluation systems, human-review tooling, monitoring, permissions, shadow-mode testing, incident response, and converting customer-specific solutions into reusable products. This founding engineer will work directly with design customers, establish technical standards, and help shape the future engineering team.

Designs and develops enterprise AI agents, copilots, plugins, connectors, and workflow automations across Microsoft and Google platforms. Integrates AI solutions with enterprise applications including SAP, ServiceNow, Snowflake, Workday, Oracle, SharePoint, and Dataverse. Translates business requirements into practical AI solutions while following architecture, governance, security, privacy, and responsible AI standards. Creates proofs of concept, documentation, training materials, and adoption guidance while collaborating with architects, security teams, platform owners, and business stakeholders.

Own and negotiate Firecrawl’s commercial agreements, including enterprise contracts, data licenses, vendor agreements, NDAs, and partnerships. Advise sales, business development, product, and engineering on data rights, privacy, security, intellectual property, indemnification, and liability. Build legal templates, playbooks, fallback positions, and approval processes while supporting compliance initiatives. Operate autonomously, escalate novel issues appropriately, and provide practical business-focused legal guidance in a fast-moving AI infrastructure company.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, explanations, and trustworthiness. Provide clear written and video feedback, distinguish response quality levels, and help define standards for tools such as Codex, Claude Code, and Cursor. The role requires senior engineering experience, strong TypeScript/JavaScript or Python skills, familiarity with AI-assisted development, excellent English communication, and comfort making rigorous subjective judgments.

Conduct applied AI and psychometric research evaluating the reliability, validity, and fairness of educational products. Analyze large-scale data, apply methods such as IRT and generalizability theory, collaborate with internal and external researchers, and communicate findings through technical documents, presentations, publications, and advisory committee materials.