Top Artificial Intelligence Jobs

As a Founding AI Design Engineer, you will design visual assets and collaborate with engineers to create a platform that integrates AI with design workflows in pharma marketing.

Own Ploy’s community strategy from zero, including launching its community platform, growing and engaging members, building agency partner programs, creating educational content, and organizing digital and in-person events. The role converts users into power users and advocates while partnering with product, marketing, and sales to share insights and amplify launches. It requires strong communication, community-program expertise, growth marketing awareness, cross-functional collaboration, and comfort building in an ambiguous startup environment.

Develop full-stack web applications integrating AI, machine learning, and computer vision models. Build and test software using Java, Spring Boot, Python, React, MongoDB, and Docker; collaborate with data science teams, customers, and stakeholders; enhance the company website; and contribute to products throughout their lifecycles.

Designs, builds, and productionizes AI-powered applications using LLMs, agentic architectures, retrieval, model APIs, and enterprise platform services. Partners with product and engineering teams across the full lifecycle, from prototyping through deployment and operations. Develops reusable APIs, SDKs, frameworks, and reference architectures; evaluates emerging AI technologies; resolves complex production issues; and mentors engineers while improving scalability, reliability, security, and the AI developer experience.

Administer and support enterprise AI platform environments across multiple cloud and data platforms. Responsibilities include tenant onboarding, cloud resource provisioning, IAM and RBAC, AI service enablement, infrastructure automation, CI/CD, monitoring, incident response, reliability, disaster recovery, cost governance, documentation, and compliance support in a regulated enterprise environment.

Lead CX data intelligence initiatives using SQL, dashboards, analytical models, and AI/LLM techniques. Analyze customer journeys, operational metrics, churn risks, and retention indicators; develop insight agents and self-service reporting; define CX health metrics; and translate findings into strategic recommendations, process improvements, and experiments. Partner with operations, support, product, data, and engineering teams while maintaining data quality, governance, and documentation.

Corporate Counsel will support senior legal counsel by advising Revenue and Operations teams, drafting and negotiating commercial contracts, assessing compliance and risk, developing legal strategies, coordinating disputes, managing outside counsel, and adopting AI tools to improve legal workflows. The role requires strong transactional expertise, legal writing, practical judgment, and the ability to manage multiple priorities in a fast-paced, collaborative environment.

Corporate Counsel will support senior attorneys in advising Revenue and Operations teams, drafting and negotiating commercial contracts, assessing compliance and risk, developing legal strategies, coordinating disputes, managing outside counsel, and improving legal workflows with AI tools. The role requires strong transactional expertise, practical judgment, legal writing, and the ability to manage competing priorities in a fast-paced, collaborative environment.

Lead research and development of large-scale multimodal foundation models for precision medicine using clinical and molecular data. Responsibilities include model architecture, pretraining, representation learning, self-supervised and multimodal learning, downstream clinical applications, scientific publication, technical leadership, and validation for healthcare and life sciences products. The role requires collaboration across research, engineering, regulatory, and product teams.

Leads Gartner research and thought leadership on data management, governance, and AI. Develops actionable insights, analyzes market trends, advises executive clients, delivers presentations, supports sales and conferences, reviews content, improves research processes, and mentors analysts. Requires deep expertise in data and analytics, AI implementation, data security, data value creation, executive communication, research, and strategic analysis. Remote U.S. role with travel up to 25%.

Leads Gartner Consulting’s high-tech and telecom portfolio across North America. Advises CIOs, CEOs, and government leaders on technology strategy, digital transformation, cloud, data and AI, cybersecurity, application modernization, sourcing, and cost optimization. Owns client relationships, expands revenue, leads consulting engagements, and develops high-performing teams while translating strategy into measurable business outcomes.

Provides consulting support to improve clients’ logistics, transportation, warehousing, distribution, and merchandising through optimization, operations research, advanced analytics, and AI. Develops mathematical models, translates analytical outputs into recommendations, and supports technology and analytics implementations from requirements through deployment. Requires client communication, quantitative problem-solving, and exposure to warehouse operations, labor planning, network optimization, transportation, or distribution.

Own Celonis’s CIO narrative and strategic technology partnership offerings. Develop product positioning, messaging, pitch materials, launches, go-to-market strategies, competitive intelligence, and adoption programs. Partner with Product, Sales, Presales, Marketing, Corporate Development, and technology partners including OpenAI, Microsoft, and Oracle. Create content, coach go-to-market teams, engage executives and analysts, support demand generation, and establish thought leadership through events, media, and industry engagements.

Design and build the distributed systems layer powering a spatial computing platform: real-time coordination, persistent world state, APIs, AI platform infrastructure (vector search, retrieval, agent orchestration), and scalable services to support many concurrent users and third-party developers.

Lead Unity architecture and build persistent, multi-user spatial systems for mobile and wearables. Design spatial persistence, synchronization, AI-assisted content pipelines, and define long-term platform direction as a founding technical contributor.

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.

Design and improve production AI workflows for legal document intelligence using agentic orchestration, prompt engineering, retrieval, and model post-training. Own LLM evaluation and benchmarking frameworks, structured outputs, self-hosted model serving, inference optimization, and customer deployments. Build reliable, efficient, explainable systems using Python and modern LLM tooling, with emphasis on quality, latency, cost, and reproducibility.

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.