Top Artificial Intelligence Jobs

Founding TPM & systems-integrity lead who designs and owns AI-native execution and validation. Orchestrates teams, defines KPIs, translates system gaps into tickets, and builds agent-driven QA to simulate multi-user flows, reproduce issues, validate fixes, and automate correctness at scale.

Develop and deploy full-stack AI applications for healthcare, integrating LLMs, voice, image, speech, RAG, vector databases, and AI agents. Build data pipelines, optimize model performance and costs, fine-tune GPT and Llama models, create copilots and autonomous workflows, and collaborate with technical and business stakeholders. The role requires Python and Node.js development, cloud experience, MLOps knowledge, and proficiency with Git, Docker, and Kubernetes.

Designs, develops, and deploys enterprise applications using Java, Spring Boot, microservices, REST APIs, cloud services, databases, DevOps tools, and Angular or React. The role also involves AI exposure with Python, LangChain, and LangGraph, along with application security, monitoring, performance, deployment, and collaboration with project teams. The position is onsite in McLean, Virginia.

Owns end-to-end AI infrastructure deployments, including data center assessments, solution design reviews, partner coordination, technical delivery, and production operations. Responsibilities include monitoring, incident response, capacity checks, firmware and lifecycle management, hardware maintenance coordination, operational documentation, project risk reporting, and mentoring junior engineers. The role requires expertise in high-performance compute, networking, storage, Linux, cluster orchestration, automation, and observability across large-scale AI environments.

Lead Circle’s Global Risk Management AI transformation by redesigning processes around intelligent agents, building reusable AI capabilities, applying responsible AI controls, and driving initiatives from vision through delivery and adoption. Partner with risk, compliance, engineering, and enterprise AI teams; manage roadmaps, dependencies, reporting, executive updates, and measurable outcomes while ensuring AI solutions remain safe, explainable, auditable, and human-supervised.

Leads state and local government consulting engagements from scoping through delivery, managing teams, budgets, roadmaps, client relationships, and project deliverables. Develops hypotheses, facilitates interviews and workshops, applies technology and AI opportunities, coaches consultants, supports hiring, and contributes to sales and utilization targets. Builds trusted executive relationships and delivers strategic and technology-enabled solutions for government clients.

Designs, develops, and integrates secure enterprise Generative AI capabilities, including RAG systems, agent workflows, LLM integrations, APIs, prompt engineering, model evaluation, and workflow automation. Collaborates with product, architecture, and engineering teams, provides technical mentorship, and ensures adherence to software development, security, compliance, and responsible AI standards.

Lead the architecture and technical vision for production-grade agentic AI applications. Design multi-agent orchestration, memory systems, reasoning pipelines, reliability infrastructure, observability, and high-availability distributed systems. Establish engineering standards, mentor senior engineers, conduct architecture reviews, support hiring, and collaborate with Product, Research, Platform, and AI Ops teams to scale LLM-powered workloads.

Develops scalable analytics solutions for inbound logistics and customs compliance. Transforms operational data into trusted datasets, dashboards, reports, data models, automated pipelines, and actionable insights. Partners with logistics, transportation, customs, finance, IT, and supply chain stakeholders to improve visibility, data quality, process efficiency, reporting, and decision-making. Drives analytics adoption, governance, continuous improvement, strategic analyses, and cross-functional initiatives.

Provide high-judgment executive support to three leaders, including two co-founders. Manage calendars, communications, travel, logistics, expenses, relationship tracking, meeting preparation, and confidential information. Improve leadership operating systems, information flow, decision follow-through, and selected operational projects. The role requires exceptional prioritization, discretion, anticipation, organization, and the ability to use AI to increase leverage while supporting a frontier science and engineering organization.

Build and operate production search, ranking, recommendation, and multimodal AI systems for a global jewellery marketplace. Own machine-learning models end to end, including feature development, training, evaluation, deployment, monitoring, and low-latency serving. Develop contextual and conversational search, image-based retrieval, learning-to-rank systems, and embedding pipelines. Define ranking experiments, evaluate LLM behavior, and design graceful recovery from probabilistic failures across multi-tenant storefronts.

Leads legal operations transformation and enablement, including legal technology architecture, AI-enabled workflows, contract lifecycle management, process optimization, metrics, vendor management, change management, and budgeting. Builds scalable contracting infrastructure, improves self-service and legal intake, reduces outside counsel reliance, partners with IT and enterprise teams on technology delivery, and manages legal operations staff while supporting commercial and procurement contracting.

Leads the organization’s digital marketing strategy, marketing technology roadmap, analytics, AI adoption, lead generation, funnel optimization, and performance measurement. Partners with Sales, IT, and senior leadership to improve marketing ROI, fundraising outcomes, data integration, and customer engagement. Oversees team development, establishes KPIs and dashboards, evaluates platforms, and builds business cases for marketing investments in a complex B2B environment.

Administer and maintain enterprise AI platforms across development and production environments. Monitor connectors, integrations, authentication, usage, costs, and platform health; troubleshoot incidents; coordinate migrations, testing, deployments, and root-cause analysis. Maintain operational documentation and compliance records, support users and citizen developers, enable governed AI features, and improve reliability and operational processes.

Owns end-to-end solution delivery, including stakeholder engagement, requirements gathering, architecture design, AI-native development, iteration, and production deployment. The role independently delivers moderately complex solutions, identifies system and workflow improvements, and contributes to team standards. Candidates need 2–4 years of experience in solutions, technical, product, or systems roles and a proven record of delivering AI-built solutions.

Leads thought leadership and client advisory research in analytics, AI, and data science. Develops actionable research, forecasts market trends, evaluates technologies and vendors, advises executives, delivers presentations, reviews peer work, mentors colleagues, and collaborates across a global research team.

Own the end-to-end sales process for existing financial services clients, targeting hedge funds, asset managers, investment banks, and sell-side research teams. Responsibilities include upselling, prospecting new teams, conducting product demonstrations and trials, forecasting, pipeline development, closing sales, and maintaining client relationships. The role also partners with marketing, product specialists, and product teams to expand awareness, improve engagement, and communicate customer needs.

Three-year integrated supply chain leadership development program featuring four six-month rotations and a twelve-month plant supervision capstone. Participants gain experience in planning and materials, quality and manufacturing engineering, operations engineering, strategic sourcing, or logistics while developing skills in AI-enabled process improvement, data analysis, project management, and people leadership. The role requires multiple relocations to U.S. facilities and offers progression into technical, individual contributor, or supervisory positions.

Lead technical sales engagements for enterprise customers across Zoom’s UCaaS platform. Responsibilities include technical discovery, solution design, custom demonstrations, proofs of concept, executive presentations, RFP/RFQ support, competitive analysis, and translating customer needs into product recommendations. The role partners with enterprise account executives, product managers, and engineering teams while advocating for customers and showcasing cloud, collaboration, communications, and AI solutions.

Owns and improves enterprise supply chain planning processes, including supply, inventory, capacity, S&OP/IBP, and available-to-promise. Leads global standards, governance, continuous improvement, process redesign, planning-system enhancements, analytics, KPI management, and transformation initiatives. Partners cross-functionally to improve service, inventory, working capital, cost, and productivity. Develops business cases, requirements, dashboards, training, and executive insights while supporting master data governance and organizational capability building.

Leads complex data exploration, analytics, statistical modeling, and AI evaluation projects supporting strategic intelligence. Develops scalable testing libraries, validates AI and machine learning systems, performs TEVV and risk mitigation, and communicates complex findings and system risks to nontechnical leadership. The role requires advanced analytics experience with LLMs or agentic AI, CI/CD validation, classified DoD or Intelligence Community networks, and a TS/SCI clearance with current or attainable CI Polygraph.

Lead a team developing and testing cyber defenses for the Starshield satellite network. Responsibilities include implementing cyber defense strategy, assessing threats, conducting red-team exercises and vulnerability hunts, improving incident detection and response, and collaborating across security and engineering teams. The role requires hands-on software and cybersecurity expertise, leadership of direct reports, and readiness to respond to active threats against production systems.

Leads UL Research Institutes’ sponsored research program development strategy, identifying and securing complex federal and philanthropic funding opportunities. Oversees multidisciplinary, multi-institutional proposal development; builds scalable processes, tools, and best practices; ensures proposal compliance; applies data-driven and AI-enabled approaches; and manages a team of program development professionals. Partners with researchers, institute leaders, funders, academic institutions, and external stakeholders to grow ULRI’s research portfolio and organizational impact.

Leads enterprise business process optimization and transformation across transactional and corporate functions. Maps and analyzes processes using process and task mining, redesigns workflows around Eaton standards, and applies automation, AI, and analytics. Builds stakeholder coalitions, secures funding, drives implementation through adoption, and measures results. Develops pilots at Boyd Thermal, documents proven practices, and scales successful capabilities across Eaton. The role requires strong Lean Six Sigma expertise, executive influence, hands-on execution, and up to 30% travel.

Leads the Go-to-Market Enablement Business Partner team, developing strategy, operating models, prioritization processes, and scalable enablement programs. Partners with senior GTM leaders to identify capability gaps, adapt global programs, embed coaching and applied learning, measure behavior change, and connect enablement investments to business outcomes. Builds cross-functional partnerships and develops team capabilities in consulting, stakeholder management, learning delivery, data interpretation, and change leadership.