Top Artificial Intelligence Jobs

Lead and execute technical internal audits within retail/institutional/insurance operations, coordinating integrated IT and operational testing, using analytics and AI tools. Manage projects, mentor staff, communicate findings to senior leadership and audit committees, support regulatory exam requests, and drive continuous improvement in audit processes and reporting.

Lead enterprise AI strategy and governance, design end-to-end economic and unit cost models for AI workloads, partner across Technology/Finance/Business to drive value realization, assess risk and policy, and scale GenAI/LLM and advanced analytics solutions companywide.

Lead enterprise adoption and scaling of AI and advanced analytics by designing AI frameworks, financial governance, unit economics, and risk-aligned policies. Partner with Technology, Finance, Product, Risk, and LOBs to build ROI-driven models for cloud and AI platform consumption, advise on GenAI/LLM architectures, and drive companywide AI strategy and implementation.

Design and build agent-based AI features that integrate across BigCommerce and partner systems. Connect agents to MCP servers, enable natural-language store management actions, integrate assistants into the control panel, collaborate with designers and NLP experts, prototype POCs, and contribute to tooling for LLM fine-tuning, prompt engineering, and safe action execution.

Lead AI strategy adoption across Zynga by partnering with cross-functional teams, evaluating and onboarding vendors, tracking AI KPIs, ensuring governance/compliance, expediting dependencies, and advising on vendor fitness, ethics, security, and legal risks to drive effective internal use of AI tools.

Paid 6-month co-op embedded in Comcast's AI Strategy & Transformation team. Conduct research on AI trends, develop executive-facing briefings, support opportunity discovery and enablement, contribute to AI POCs, perform quantitative and qualitative analysis, and engage external ecosystem partners. Work cross-functionally, present to senior leaders, and drive deliverables with ownership.

Lead design, development, and production deployment of scalable AI agents and agent platform. Drive technical strategy, mentor engineers, perform system and code reviews, resolve architectural challenges, and collaborate with product and cross-functional teams to deliver high-performance AI/ML solutions.

Lead the design vision for Jira's AI transformation, managing a team of designers to create experiences where AI systems collaborate with human teams.

As a Software Engineer for the AI Platform, you will design, develop, and implement scalable applications, focusing on AI-driven systems and platform engineering, while collaborating with cross-functional teams.

Lead and scale Capcos Cyber + AI practice: define strategy and offerings, win and deliver complex cybersecurity and AI-enabled security programs, manage client relationships, drive pursuits and revenue, and mentor and grow teams.

Lead an AI platform team to design, build, and deploy agentic, reusable AI services for healthcare payment integrity and clinical workflows. Provide technical and strategic leadership, drive deployment automation, CI/CD, production observability, ethical AI practices, and cross-functional partnership to ensure secure, scalable delivery and measurable business outcomes.

Develop and evaluate novel AI/ML solutions for healthcare using structured and unstructured data. Build and test deep learning and classical ML models, design experiments, perform statistical analysis and visualizations, document models, collaborate with stakeholders, RUAI, and engineering to productionize solutions and MLOps pipelines, and publish/patent research.

Lead and grow an AI/ML engineering team delivering agentic, reusable AI services for healthcare payment integrity and clinical operations. Drive platform design, cloud-based deployment, CI/CD/DevSecOps, production observability, ethical AI practices, cross-functional partnership, and repeatable customer deployments.

Lead end-to-end design, implementation, deployment, and operation of production AI/ML-enabled full-stack applications. Build LLM-powered features, design scalable backend services and data models, deploy on Azure, implement CI/CD and observability, and mentor engineers while ensuring secure, compliant integration into clinical workflows.

The AI Commercial Associate Principal leads AI transformation for pharma clients, advises on machine learning application, and drives business impact through strategic AI program implementation.

As the Principal Product Designer for Toast IQ, you'll lead design strategy for the AI assistant, shaping user experiences across platforms and collaborating with cross-functional teams.

The Senior Director will lead Cloud AI Platform Solutions, managing customer engagement, platform readiness, team leadership, and cross-functional alignment to drive successful server-class SoC platform deployments.

As a Backend Software Engineer II, you will develop and maintain member-facing features using WHOOP's AI capabilities, collaborating with cross-functional teams and ensuring high-quality software solutions.

Join DigitalOcean as a Senior Engineer to design and develop high-scale AI data plane services, optimizing performance and mentoring junior engineers.

Lead performance architecture and optimization strategies for AI inference services, focusing on maximizing throughput and minimizing latency for advanced models. Mentor the team, collaborate on product features, and maintain expertise in GPU architectures and open-source projects.

The AI/ML Engineer will implement and maintain RAG pipelines, integrate LLMs with APIs, develop REST APIs, and refine Postgres schemas, requiring a TS/SCI security clearance.

The AI/ML Engineer designs and develops AI solutions, optimizes models, manages data flow for deployment, and conducts data analysis to enhance operational outcomes for mission operations.

Design and develop AI solutions, manage data flow for AI deployment, optimize models, and conduct data analysis on large datasets for operational improvement.

As a Staff Product Designer at FloQast, lead design strategy for AI-driven product capabilities, mentor teams, and ensure design consistency across platforms while enhancing user experiences and stakeholder communication.

Lead teams building computer vision and machine learning for AI dash cameras, managing model lifecycle, coordinating with cross-functional teams, and driving AI product development.