Top Artificial Intelligence Jobs

Lead the architecture, development, optimization, and operation of production LLM and AI automation systems. Design capabilities including agents, retrieval, code generation, tool use, model routing, evaluation, and observability. Drive platform modernization, scalability, reliability, architecture, and code quality while mentoring engineers and influencing technical practices across teams. Build prototypes, establish engineering standards, conduct reviews, and communicate complex technical concepts through documentation and cross-functional collaboration.

Lead AI/ML and computer vision R&D programs for government and commercial customers. Manage and mentor engineering and research teams, secure funding, deliver complex software projects, and publish technical results while meeting contractual security requirements.

Manage drafting, negotiation, and administration of federal contracts and subcontracts; maintain contract records and compliance with FAR/DFARS; monitor vendor performance; support audits and kickoff meetings; identify and apply AI/automation to improve contract workflows.

Lead the design and development of production AI systems for enterprise application automation. Responsibilities include building reliable agents and orchestration, extracting specifications from existing systems, modeling application intelligence and retrieval, developing evaluation and CI pipelines, optimizing reliability and scale, using AI coding tools, mentoring engineers, and documenting technical practices.

The Senior Innovation Engineer develops and implements Pega intelligent automation solutions, collaborating with architects and teams to enhance digital transformation projects.

Build and optimize developer-facing tools, including IDE integrations, CLIs, code-analysis systems, and CI/CD workflows. Integrate transparent, reliable AI capabilities into developer experiences, optimize high-volume production services, and improve availability, latency, and efficiency. Drive engineering best practices through code reviews, automation, documentation, and technical leadership while mentoring junior engineers. The role also requires communicating complex architectures and operating tooling across enterprise deployment environments.

Leads the strategy, governance, architecture, analytics, AI oversight, integration, RPA, testing, Epic Cogito, and Workday platforms. Oversees multidisciplinary teams, enterprise data quality, reporting, system roadmaps, release governance, budgets, vendors, and cross-functional delivery across clinical, operational, financial, HR, and IT stakeholders. The role combines strategic leadership with technical depth to improve decision-making, automation, compliance, and trust in enterprise systems.

Leads product strategy, portfolio, commercialization, and organizational development for a global AI cloud infrastructure platform. Oversees GPU compute, bare metal, containers, networking, storage, AI training and inference capabilities. Owns roadmap, pricing, packaging, metering, SLAs, revenue, margins, utilization, and customer adoption. Partners across engineering, infrastructure, operations, sales, and solutions while building a high-performing product organization.

Lead rapid prototyping and operationalization of AI/ML proof-of-concepts for Intelligence Community missions. Build GenAI, NLP, computer vision, and predictive analytics solutions; deploy them across secure clouds and air-gapped networks; develop MLOps pipelines; and support multiple programs with competing timelines. Present demonstrations to senior customers while maintaining reusable code and architectural documentation.

Gather client requirements and architect, develop, and deploy cloud data platforms, warehouses, ETL processes, pipelines, APIs, and BI solutions. Perform advanced SQL and data modeling, support deployments and integrations, diagnose technical issues, mentor staff, contribute to innovation and practice development, and assist with project management. The role requires approximately 20% overnight travel and primarily in-person work.

Leads TireHub’s enterprise automation and AI enablement program, architecting and delivering solutions across Power Platform, Copilot Studio, and Microsoft Foundry. Manages and develops engineers, establishes technical standards, designs AI agents and RAG solutions, integrates enterprise systems, ensures security and observability, and partners with stakeholders to identify high-value automation opportunities. The role balances hands-on engineering with architecture, Agile delivery leadership, technical coaching, and cross-functional program execution.

Lead AI deployments for payor customers from planning through launch and adoption. Coordinate cross-functional teams, manage timelines, risks, training, stakeholder alignment, and implementation readiness. Translate payor workflows and business priorities into actionable plans, resolve blockers, guide organizational change, and develop repeatable deployment playbooks. The role requires regular customer travel and close collaboration with product, engineering, implementation, customer success, and clinical teams.

Leads regional customer success for health system partnerships, managing Directors and senior Customer Success Executives. Owns executive relationships, enterprise implementations, clinical workflow integration, customer success metrics, retention and expansion sales. Builds scalable onboarding, training, change-management playbooks and operating frameworks while partnering with Product, Engineering, Clinical, and Sales teams to improve adoption, operational efficiency, patient outcomes, and net revenue retention.

Develops and supports computational solutions for faculty research using HPC, AI, cloud, and GPU technologies. Responsibilities include optimizing scientific software and workflows, advising researchers, supporting machine learning tools and model serving, troubleshooting HPC applications, contributing to grant proposals, evaluating emerging technologies, creating documentation and training, and improving research computing services. The role requires close collaboration with multidisciplinary research teams in a hybrid environment.

Designs and implements AWS cloud architectures integrating modernization, data engineering, generative AI, and machine learning. Leads client architecture sessions, presales engagements, cloud migrations, data pipeline and lakehouse development, governance, security, and multi-region deployments. Advises clients on scalable, secure, cost-optimized solutions while collaborating with sales and delivery teams. Requires extensive AWS experience, AI/ML and data architecture expertise, infrastructure-as-code proficiency, and strong customer-facing skills.

Designs and implements scalable AWS cloud architectures focused on modernization, data engineering, generative AI, and machine learning. Leads client architecture sessions, presales engagements, cloud migrations, governance initiatives, and multi-region deployments. Develops AI/ML solutions using AWS services, designs data pipelines and lakes, modernizes legacy applications with containers and serverless technologies, and advises clients on security, compliance, cost optimization, and Well-Architected practices.

Designs, builds, tests, and deploys AI-powered tools and applications supporting manufacturing and business operations. Develops quality-control and production-automation systems, MLOps and model-evaluation pipelines, data pipelines, APIs, and integrations. Partners with business and technical teams, coordinates infrastructure needs, conducts system audits, creates documentation, troubleshoots issues, and improves AI/ML capabilities within an Agile/Scrum environment.

Advise Sales and go-to-market teams on complex enterprise SaaS negotiations, build scalable contracting systems, and develop templates, playbooks, and processes. Guide privacy and data protection in customer relationships while helping establish the legal function at a rapidly growing AI company.

Own product positioning and go-to-market strategy for YipitData’s AI and big data products serving public investors. Define customer segments and messaging, lead product launches, conduct competitive intelligence, support pricing and packaging, and create sales enablement materials. Partner with Product, Revenue, and Insights teams to shape the roadmap and drive adoption. Establish GTM success metrics, monitor performance, and improve strategies across data feeds, software, and AI-powered investor solutions.

Own the evaluation, selection, optimization, and production deployment of large language models powering legal and medical document workflows. Build EvalOps and monitoring frameworks, benchmark model quality, cost, speed, and resilience, manage model transitions, optimize RAG and orchestration pipelines, and reduce hallucinations. Partner with product and go-to-market stakeholders while independently implementing changes across staging and production.

Serve as Monk’s first Sales Engineer, partnering with enterprise finance customers to assess technical fit, design AR workflow solutions, build tailored proofs of concept, and implement integrations. Prototype and ship agentic AI and financial products while translating customer pain points into scalable technical solutions. The role requires deep full-stack TypeScript development, modern web infrastructure expertise, strong product judgment, customer empathy, and autonomous ownership in an in-person NYC environment.

Own the strategy, roadmap, and lifecycle of AI-powered creative products for ID Lab and Studios. Build internal production tools and self-serve marketing products for agents, integrating generative AI across text, image, video, and audio. Partner with creative, engineering, design, legal, and brokerage teams to define quality standards, prioritize initiatives, launch products, measure adoption and impact, and scale creative workflows.

Develops and deploys AI/ML applications for autonomy, pattern recognition, target detection, decision support, signals processing, and robotics. Responsibilities include creating mathematical and statistical models, processing heterogeneous datasets, training and fine-tuning machine learning systems, modifying deep learning architectures, evaluating performance, and presenting technical results. The role also involves rapid prototyping, production deployment, cross-functional collaboration, and work involving LLMs, NLP, computer vision, sensor fusion, and explainable AI.

Supports AI-related marketing projects by coordinating operational tasks, collecting assets and approvals, maintaining trackers and workflow documentation, monitoring timelines, routing review materials, and tracking vendor deliverables. The role identifies gaps, organizes project files, follows up with cross-functional stakeholders, and provides project support across multiple AI initiatives. It requires strong organization, communication, attention to detail, and at least three years of relevant marketing operations, creative operations, production, or project coordination experience.

Develop and execute global procurement and supply chain strategies; manage strategic suppliers, contracts, negotiations, costs, tariffs, freight, sustainability, inventory reporting, and supply chain risk. Lead supplier performance and corrective actions, guide purchasing teams, improve real-time supply chain visibility, support Business Central data optimization, and partner with IT on AI-enabled decision-making. The role also manages travel-related contracts and presents spending and operational metrics.