Top Artificial Intelligence Jobs

Runs paid search, paid social, AI SDR, and account-based demand-generation programs. Manages agencies, budgets, creative and audience testing, pipeline performance, attribution, and conversion reporting. Builds AI agents and no-code or low-code workflows using tools such as Claude, Clay, n8n, Zapier, and Demandbase to automate campaign QA, routing, enrichment, alerts, and reporting.

Own the product direction for Physical AI applications and the reusable ML and software stack running on Arm-based silicon. Define target workloads, requirements, interfaces, roadmaps, benchmarks, acceptance criteria, and release decisions across robotics, autonomy, AI inference, middleware, tooling, simulation, and deployment. Validate customer and partner needs, guide build-versus-partner choices, evaluate measured prototypes, and align engineering, architecture, product, and business leaders through delivery and launch.

Develop full-stack, infrastructure, robotics, and graphics products for autonomy development workflows. Engineers build features and tools across the technology stack, collaborate with domain experts and users, influence product decisions, and solve complex engineering problems in a fast-paced environment.

Own the AI product roadmap for document extraction, including prioritization, accuracy metrics, model and vendor decisions, capacity planning, tax-year releases, and correction workflows. Partner with AI, engineering, product, UX, QA, tax, finance, sales, and client success teams to define requirements, evaluate model performance, manage costs and latency, and deliver filing-grade structured data.

Graduate intern will analyze power measurements from AI workloads on GPU racks, review anomalies, label ramps and critical events, correlate measurements with telemetry and profiling data, and develop an automated detector for power ramps and anomalies. The role involves documenting findings, presenting results, and contributing to technical reports, papers, and conference presentations while collaborating with high-performance computing, power systems, and data center operations researchers.

Leads complex AI infrastructure technology programs from planning through delivery. Responsibilities include defining scope, timelines, resources, budgets, and deliverables; managing risks and dependencies; coordinating engineering, product, and business stakeholders; applying analytical reasoning; promoting agile and AI-assisted governance practices; and ensuring human validation, data sensitivity compliance, and alignment with business goals.

Leads software engineering teams and complex technology initiatives within Operations Collections. Establishes governance for agentic AI-enabled engineering, SDLC automation, quality controls, security, resiliency, and traceability. Directs technical strategy, budgets, resources, talent development, cloud-native solutions, and cross-functional delivery while influencing senior stakeholders and enabling reusable solutions across business domains.

Leads the research, design, development, and deployment of production AI, ML, GenAI, and LLM systems supporting operational cyber missions. Responsibilities include building scalable models and pipelines, implementing MLOps, vector and graph data architectures, retrieval and agentic workflows, full-stack integrations, data governance, access controls, and secure deployments across cloud, air-gapped, hybrid, and on-premises environments. Provides technical mentorship and engineering standardization while working onsite in Chantilly, Virginia.

Build and integrate AI-powered internal tools using Claude, Claude Code, Python, and JavaScript or TypeScript. Identify workflow automation opportunities, maintain prompts and AI skills, connect AI to internal systems through APIs, track tool impact, document solutions, deliver demos and training, and coordinate security and compliance for data handling and access controls.

Design, train, evaluate, and deploy production machine learning, deep learning, and reinforcement learning systems for semiconductor manufacturing. Build RL environments, reward functions, policies, agents, simulation workflows, and scalable MLOps pipelines. Research generative AI, LLMs, RAG, and multi-agent systems while partnering with software engineers, data scientists, cloud architects, and semiconductor experts to integrate intelligent capabilities into production solutions.

Develop Python-based AI and automation frameworks for signal integrity and power integrity simulation workflows. Build structured data models, LLM-assisted specification parsing, reusable libraries, and automated interfaces for Ansys HFSS and Keysight ADS. Create proof-of-concept workflows that generate simulation setups, execute analyses, validate designs, extract results, and produce reports. Collaborate with electrical engineers and document software architecture, APIs, and engineering use cases.

Designs and leads globally distributed AI infrastructure that routes, prioritizes, and allocates computing capacity for Azure OpenAI and Microsoft Copilot. Responsibilities include coding, architecture, capacity optimization, reliability engineering, incident response, secure deployments, cross-team delivery, mentoring, and operating highly available services. The role also advances AI-assisted software development and responsible AI practices.

Owns T-Mobile’s enterprise AI enablement product, including the roadmap, backlog, curriculum, learning paths, rollout communications, and champion network. The role improves employee adoption of GenAI tools and agents by creating technical and non-technical learning experiences, measuring usage and effectiveness, gathering feedback, and continuously refining content. It partners with HR Learning and Development while managing AI-specific enablement strategy and delivery.

Leads the delivery, integration, adoption, and scaling of AI-powered solutions across the firm. Translates AI strategy into production workflows, automation systems, enterprise integrations, and measurable business outcomes. Oversees technical implementation, vendors, delivery roadmaps, governance, change management, training, and continuous improvement. Partners with technology, data, and business teams to embed AI into workflows and improve productivity, client experience, and operational efficiency.

Leads HR strategy for Microsoft AI, advising senior leaders on organizational growth, effectiveness, talent planning, workforce transformation, culture, and employee experience. Manages and develops an HR team, partners with Recruiting and HR Centers of Excellence, identifies talent risks, supports organizational change, and designs workforce strategies aligned with evolving business priorities.

Sell SEO services, Answer Engine Optimization, AI-powered search visibility solutions, and SaaS products to businesses. Responsibilities include prospecting, discovery calls, product demonstrations, closing deals, pipeline management, CRM tracking, upselling, and cross-selling. The Account Executive will build relationships with business decision-makers, meet sales goals, explain technical concepts clearly, and stay current on AI, SEO, and digital marketing trends.

Designs and optimizes production-grade agentic AI, LLM inference, and AI platform architectures. The role drives AI-assisted software development adoption, improves developer productivity, establishes governance and observability capabilities, and advises engineering teams on scalable, reliable, and cost-efficient AI solutions. Responsibilities include leveraging NVIDIA technologies, developing reusable frameworks, evaluating emerging tools, coaching teams, and measuring business outcomes.

Build and scale Surgo’s Python-based AI interview engine, including survey execution, LLM interviewer behavior, APIs, data models, integrations, and Azure infrastructure. Own PostgreSQL migrations, reliability, observability, testing, CI/CD, security, privacy, and compliance for sensitive participant data. Collaborate with product, research, frontend, and data teams while delivering features independently in a remote, cross-functional environment.

Develop and deploy scalable AI applications and machine learning models using Python, Spark, Azure, and OpenAI. Responsibilities include requirements analysis, software development lifecycle participation, pipeline development, testing, deployment, troubleshooting, documentation, and production support. The role collaborates with data, software, and business teams to deliver data-driven solutions, while applying version control, CI/CD, and software engineering best practices.

Leads the architecture and delivery of enterprise AI, generative AI, and agentic AI solutions from prototyping through production. Designs LLM systems, RAG pipelines, AI platforms, orchestration frameworks, and cloud-native deployments while ensuring scalability, security, privacy, governance, observability, and responsible AI compliance. Establishes architecture standards, shapes AI strategy and roadmaps, mentors engineers and architects, evaluates emerging technologies, and partners with business, engineering, data, and product stakeholders in regulated environments.

Designs, builds, and ships AI-enabled mobile experiences for Dutch Bros shop crews, field leaders, and operators. Converts manual workflows into intuitive, offline-capable mobile processes; integrates AI services, APIs, and enterprise systems; and supports secure, observable releases. The role contributes to platform architecture, engineering standards, design reviews, and peer mentorship while partnering directly with field teams to align products with operational needs and measurable business value.

Build and own full-stack AI applications, data APIs, dashboards, and cloud-native services. Develop Python and Node.js backends, React frontends, AI/ML integrations, RAG pipelines, authentication, API management, testing, CI/CD, and performance improvements. Collaborate with AI/ML engineers, data scientists, product, and design teams to deliver scalable, reliable, intuitive, and responsible AI experiences.

Own Cerby’s AI agents for API catalog generation, browser workflow creation, and self-healing automation. Take existing systems into production using durable workflows, observability, evaluation benchmarks, cost controls, and security protections. Responsibilities include detecting and repairing automation drift, managing credential isolation and prompt-injection risks, defining threat models, partnering with engineering teams, writing design documentation, mentoring contributors, and providing on-call ownership after launch.

Execute daily trucking dispatch by assigning loads, communicating with drivers, conducting check-calls, handling exceptions, and keeping customers informed. Use AI to research, troubleshoot, analyze, and automate work. Track operational KPIs, improve playbooks, identify problems, and partner with engineering and product to automate recurring workflows.

Leads the strategy, governance, roadmap, and evolution of a global digital experience platform ecosystem. Oversees web platforms, analytics, tagging, consent management, localization, integrations, security, accessibility, vendors, and product launch enablement. Establishes reusable standards and operating models across markets, manages website portfolios and backlogs, evaluates AI-enabled capabilities, and partners with commercial, medical, technology, security, privacy, and agency stakeholders.