Top Artificial Intelligence Jobs

Design, deploy, and operate infrastructure and tooling for ML and LLM workloads. Build containerized AI services, CI/CD pipelines, and IAC using Terraform. Manage cloud and on-prem environments, ensure reliability, observability, security, and scalability of production AI systems. Integrate AI tooling with data and internal systems, prototype new technologies, troubleshoot issues, and document runbooks.

Responsible for redesigning mortgage operations, improving efficiency with emerging technologies, and collaborating across teams for a scalable operating model.

Serve as a technical advisor to a DARPA program manager evaluating and shaping research in unconventional computing, neuromorphic systems, AI, quantum information science, and novel computation architectures. Engage stakeholders, assess performers and proposals, identify technical opportunities, and support transition of advanced research to operational use.

Develop, test, and validate sophisticated actuarial and balance-sheet models for insurance liabilities, assets and derivatives. Quantify risks, collaborate with valuation/ALM/risk teams, lead projects, apply statistical and predictive methods, and build controls and efficient workflows.

The Vice President leads strategy and communications for B2B technology accounts, ensuring excellence in client service, team development, and market influence. They drive growth through integrated communications and thought leadership, while mentoring staff and overseeing high-value accounts in complex technology sectors.

The Vice President of Public Relations leads client relationships, sets strategic direction for B2B technology communications, and mentors teams. This role includes overseeing communications strategies, contributing to thought leadership, and driving new business development.

The Vice President of Public Relations for B2B Technology leads strategic communication initiatives, drives client relationships and account growth, mentors teams, and oversees integrated marketing strategies in a fast-paced, competitive environment.

The Reserve Engineer maintains and services robot hardware, communicates with team members, addresses hardware failures, and assists with new deployments at client sites.

Design, build, and tune hybrid retrieval and RAG systems combining Elasticsearch, vector/embedding search, and re-ranking models. Improve relevance using query analytics, behavioral signals, experimentation, and evaluation metrics to enhance search quality and Generative AI responses. Collaborate with AI engineers, platform teams, and product stakeholders.

The Data Scientist Level 4 develops strategies to extract insights from large datasets, utilizing advanced analytics and machine learning techniques. Responsibilities include statistical analysis, modeling, and effectively communicating findings to non-technical audiences.

The Principal AI Quality Engineer leads quality assurance for AI-driven medical device software, overseeing compliance and collaborating with R&D, clinical, and regulatory teams. They work on AI/ML strategies, validate models, and mentor junior engineers while ensuring product quality and meeting global regulations.

Lead Offensive Cyberspace Operational planning supporting USCYBERCOM, integrating cyber operations, and collaborating on strategic objectives through various cyber plans and intelligence activities.

Own and grow an Intelligence Community territory by identifying mission problems where AI creates measurable impact. Build relationships with mission operators, technical teams, and acquisition stakeholders; shape AI-enabled solutions with engineers and architects; drive opportunities from initial engagement through contract award; manage pipeline, forecasting, and multi-stakeholder coordination; and develop technical and mission credibility in AI evaluation, data development, and trusted AI deployment.

The engineer will leverage AI to enhance pre-silicon verification processes, collaborate with teams, and improve methodologies using advanced tools.

The Lead Data Scientist will oversee AI projects, mentor engineers, and develop systems for knowledge retrieval and analysis in defense. Responsibilities include guiding technical strategy, collaborating across teams, and championing AI innovations.

The Lead Data Scientist will lead AI solution development for National Security by driving projects, mentoring teams, and enhancing systems with advanced simulation and optimization techniques.

The Product Marketing Manager optimizes service market share and profitability throughout product lifecycles, driving strategies, revenue targets, and innovative service offerings while collaborating across teams and researching competition.

Lead product strategy and roadmap for AI-driven features and workflow automation on the ConnectWise platform. Translate customer and data insights into requirements, prioritize backlogs, select AI platforms/tools, and collaborate with engineering, data, and AI/ML teams to deliver scalable solutions. Monitor adoption and performance, optimize workflows through AI, and represent product strategy to partners and stakeholders.

Owner of the Constituent Data Layer and safe rollout of AI agents: manage CDL schema and agent registry, build policy engine and guardrails, design/deploy agents, instrument the data flywheel and telemetry, partner cross-functionally on brief-to-agent translation and platform runtime, and lead incident response and measurement of ROI for agent actions.

Lead go-to-market for Mapboxs AI products: define positioning, messaging, and launch strategy; drive customer research, sales enablement, content, and cross-functional alignment to accelerate adoption of AI-powered location capabilities.

Build and maintain AI-enabled execution systems: workflow automation, integrations, APIs, data, and lightweight UIs. Use low-code platforms and AI-assisted tools to deliver reusable, observable, and supportable solutions, participate in agile sprints, and produce documentation and runbooks for operational handoffs.

Senior executive leading end-to-end global production and deployment for AI hardware across China, the US, and Mexico. Own manufacturing operations, supplier and logistics relationships, deployment playbooks, cross-functional execution, cost and budget collaboration, and build a scalable operations organization focused on quality, lead times, and continuous improvement.

Lead strategy, roadmap, and delivery for AI, data, and analytics products supporting commercial operations. Drive AI use cases, scale generative AI and automation, manage product backlogs, lead Agile teams, ensure responsible AI governance, and align investments to business value with cross-functional stakeholders.

Senior HR business partner leading HR for global Business AI, Technology & Product. Drive organizational design, workforce planning, leadership development, talent strategy, employee relations, performance and rewards, compliance, HR operations, and coach HR teams to enable growth and transformation across a complex, technology-focused global organization.

The Director of AI Solutions & Integration leads the development of production-ready AI solutions at SPDJI, ensuring alignment with business goals and responsible AI practices.