Top Artificial Intelligence Jobs

Lead the development of AI-native workflows and product operations at Lansweeper, integrating engineering and go-to-market functions, enhancing automation, and driving efficiency across product management and marketing.

Build and scale backend and full‑stack systems powering patient booking, clinician routing, logistics, and device integrations. Ship end-to-end features, design APIs and data models, solve scheduling/dispatch challenges, integrate with external health systems and medical devices, and own projects from 0→1 while collaborating with product, data, ops, and clinical teams.

Build and scale backend and full-stack systems powering patient booking, clinician routing, logistics, and device integrations. Own 0->1 projects, design APIs and data models, solve scheduling and dispatch challenges, integrate external health systems, and collaborate with product, data, ops, and clinical teams.

The Director of Business Development for AI Products will identify new business opportunities, develop sales strategies, manage relationships, and drive sales for Tempus's AI solutions in the life sciences sector.

As a Staff AI Scientist, you will lead AI projects, design deep learning models using multimodal data, and ensure regulatory compliance in healthcare AI products.

The Senior Security Engineer will enhance AI security solutions, evaluate threats, design guardrails, and collaborate with teams to implement security strategies in a cloud environment.

Senior GEOINT analyst applying imagery and Order of Battle expertise to identify, classify, annotate, and validate military targets across multi-modal imagery. Support AI/ML by creating, reviewing, and validating training data, produce GEOINT products, perform quality control and peer review, and provide subject-matter expertise for intelligence production and customer briefings. Mentor junior analysts and collaborate with technical teams in a mission-focused environment.

As an AI Forward Deployed Engineer, you'll manage customer onboarding by integrating AI Agents, architecting solutions, and ensuring project success through strategic problem-solving and communication.

Lead system safety efforts for autonomous and AI-enabled systems, analyzing hazards, requirements, safety architectures, mitigations, verification strategies, and digital safety cases. Apply Guardian AI to safety analyses, evaluate AI-generated outputs, establish validation practices, and convert recurring customer problems into product capabilities. Advise customers, mentor engineers, contribute to standards and industry thought leadership, and help define AI-assisted safety engineering methods.

Provide product-focused IP counsel across the product lifecycle for AI/ML systems, advising on IP strategy, data and open-source licensing, patent and trademark management, commercial agreements, risk mitigation, and cross-functional training. Partner closely with Research, Product, Engineering, and business teams to embed IP protection and ensure compliance while supporting patent prosecution and enforcement globally.

Build and own conversational voice AI products end-to-end: architect, implement, and deploy the platform. Design infrastructure, develop front-end and back-end systems, deliver reliable customer outcomes, and collaborate directly with the CTO to scale the product for enterprise customers.

Build Town’s greenfield AI context and retrieval infrastructure, including hybrid lexical and semantic search, durable data models, realtime and batch pipelines, indexing, and storage. Optimize latency, cost, freshness, completeness, and reliability at scale. Establish the foundation for a knowledge graph connecting people, companies, projects, and content, while taking systems from prototype through production.

Lead go-to-market strategy for Ambarella's AI vision processors across AIoT markets. Define product (hardware/software), drive partner ecosystem, coordinate with engineering and sales, gather customer requirements, and organize tradeshows and webinars to grow new and existing markets.

Perform technical and scientific intelligence analysis on advanced and emerging technologies, producing written assessments and briefings for senior U.S. Government decision makers. Research, validate, and synthesize technical information, collaborate with subject-matter experts, support sponsor priorities, and present findings. May lead multidisciplinary analytic teams and develop research agendas at senior level.

Own Giga’s company-wide AI learning and enablement strategy. Design and deliver workshops, tutorials, onboarding, office hours, workflow labs, and role-specific learning that drive responsible AI adoption. Build an enablement hub, champion network, reusable workflow assets, and frontier AI evaluation process. Partner with security, legal, people, operations, and business leaders on tool guidance, verification, human review, and risk controls. Measure adoption through usage, workflow reuse, quality, cycle time, business value, and responsible-use signals.

Manage ELEVATE cohorts, workshops, pilots, and participant relationships while sourcing startups, coordinating pilots, and supporting fundraising through grants and sponsorships. Track impact, prepare reports, and handle event logistics and partner engagement to grow SMB innovation programs.

Lead engineering and deploy scalable AI agents and agent orchestration at scale. Prototype GenAI solutions, design and operationalize distributed batch/real-time data flows, implement memory/RAG and vector DBs, integrate tool-calling/APIs, build calibration and guardrails, drive cloud adoption, and collaborate with global teams.

Owns an AI-focused finance product vertical end-to-end, including strategy, metrics, prioritization, technical design, regulated financial workflows, and launch readiness. Partners with engineering, compliance, operations, treasury, finance, and design to ensure accurate money movement, reliable failure handling, and trusted AI features. Requires strong system-design knowledge, experience with complex technical products in regulated domains, and hands-on judgment with LLM-based products and evaluation.

Develops and maintains AI governance frameworks, policies, standards, and controls. Conducts AI model risk assessments covering bias, explainability, data quality, and security; evaluates organizational and vendor risks; supports audits; coordinates with Legal, Privacy, Security, and Technology teams; and promotes compliant AI practices across the organization.

Builds and ships user-facing product experiences and integrations using low-code, no-code, and AI-assisted development tools. Translates stakeholder needs into maintainable solutions, integrates platform services and APIs, applies authentication, security, privacy, and compliance controls, and partners with Product, Architecture, DevOps, Security, and QA. The role also defines testing, telemetry, documentation, runbooks, acceptance criteria, and post-launch product health metrics.

Tenure-track Computer Science faculty to teach in an ABET-accredited undergraduate program, conduct and publish research, advise majors, serve on committees, and teach across modalities (face-to-face, online, hybrid). Responsibilities include developing and delivering courses, mentoring students, and contributing to departmental service and scholarship.

Lead rapid systems engineering and technology integration to develop, prototype, and field solutions for logistics, mission support, and contested operations across the Indo-Pacific. Evaluate emerging technologies, run demonstrations and experiments, perform trade studies and risk assessments, produce engineering documentation and briefings, and support transition to operational deployment within TS/SCI environments.

Lead Business Analyst partnering with wealth management stakeholders to define, document, and deliver technology solutions. Drive requirements, user stories, process models, UAT, and AI-enabled use cases while collaborating with product, engineering, QA, and data teams. Support production triage and improve processes using AI, automation, and analytics.

Apply machine learning and AI to structured and unstructured IoT and other datasets: clean and integrate data, develop and deploy user-facing models, create visualizations/dashboards or lightweight web apps, advise clients, lead teammates, and apply inferential statistics and research design. Requires TS/SCI with polygraph.

Lead and enforce quality, risk, safety, reliability, and maintainability for defense manufacturing programs. Drive audits, supplier quality, root-cause/corrective actions, configuration management, and AS9100/ISO compliance. Support technical reviews, contract compliance, predictive risk analysis, and Basis of Estimate documentation. Mentor staff and lead cross-functional problem resolution.