Top Artificial Intelligence Jobs

The AI/ML Engineer will design, develop, and deploy machine learning algorithms and large language models while collaborating with stakeholders to meet business needs.

Lead commercial growth for AI applications and data connectivity in precision medicine. Close strategic partnerships with biopharma and academic medical centers, expand real-time EHR and device integrations, scale AI diagnostic deployment, build and manage a 20-FTE commercial and connectivity organization, and implement repeatable pipeline and forecasting systems.

The Lead Product Designer will set design direction, collaborate with cross-functional teams, drive user experiences, and mentor team members for impactful design solutions.

As a Generative AI Product Manager, you'll prototype AI solutions, deploy workflows, drive AI adoption, and shape governance standards across the organization.

As an AI Engineer, you will architect AI systems for legal work, lead technical initiatives, and mentor a team while impacting the future of legal technology.

As Lead Auditor for Data and AI at MetLife, you'll assess risks, lead audits, identify issues, and communicate findings on innovative initiatives.

Design and implement AI models for robotic manufacturing, develop simulation tools, and ensure model transfer from simulation to reality while optimizing ML models in production.

The role involves designing, developing, and supporting AI software components, leveraging various AI technologies, and optimizing performance for large-scale AI systems.

The role involves architecting a scalable AI platform, building distributed compute solutions, optimizing technologies, and mentoring internal talent in AI and ML.

As a Senior Lead AI Engineer, you will develop AI solutions, partner with cross-functional teams, optimize LLM performance, and contribute to the AI vision at Capital One.

The Staff Forward Deployed Engineer drives AI adoption for strategic customers by solving complex cloud infrastructure challenges, developing scalable assets, and influencing product roadmaps through collaboration and technical expertise.

The Staff Forward Deployed Engineer will work with AI-Native customers to solve cloud infrastructure challenges, build scalable tools, optimize AI workloads, and influence product development by embedding with clients and establishing best practices.

Develop and maintain AI/ML applications, focusing on agent-based workflows, API integration, and enterprise deployment, requiring senior-level experience.

Lead discovery and delivery of AI-first AEC product capabilities. Define roadmap, prototype agentic LLM workflows, translate research into requirements, measure outcomes, and partner with UX, Engineering, and GTM to drive adoption and growth.

The AI/ML Engineer will develop and maintain AI/ML applications, design workflows, optimize performance, and manage data processing with a focus on LLM integration and retrieval-based capabilities.

The Staff Applied AI Engineer will develop decision intelligence systems using machine learning and optimization, focusing on improving planning decisions and operational efficiency. Responsibilities include building models for revenue attribution, designing decision-support systems, and ensuring security in AI-driven capabilities.

Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.

The role involves designing and operating real-time AI systems for sports analysis, integrating various data signals under tight constraints and mentoring other engineers.

Design and implement AI-native software development lifecycle standards. Lead organizational adoption and integration with enterprise architecture in a regulatory environment.

Lead the development of AI-driven test automation frameworks for cloud-native systems, focusing on quality engineering and mentoring.

Lead distributed engineering teams to build and operate real-time data serving, LLM orchestration, and ML pipeline infrastructure powering low-latency, personalized connected-home experiences. Own delivery, reliability, observability, drift detection, and model rollout; manage sprint cadence, hiring, and technical coaching while coordinating with product, architecture, AI/ML ops, and video intelligence teams.

Design and implement scalable, low-latency AI security infrastructure and high-performance networking code in Rust. Collaborate with product and cross-functional teams, debug complex network/system issues, and deliver secure, testable solutions for large-scale cloud security platform.

Lead product vision, strategy, and execution for Realtor.com's Enterprise AI portfolio across LLM platform, developer tooling, agentic solutions, and enablement. Drive prioritization, VOC discovery, OKR-based measurement, vendor relationships, cross-functional delivery, and executive storytelling. Mentor PMs, grow the AI community, and ensure scalable, governed AI adoption across engineering and business users to deliver measurable business impact.

Lead design and delivery of enterprise-scale generative AI and agentic systems. Define architecture, integrate foundation models, establish cloud-native infrastructure and MLOps pipelines, orchestrate workflows, mentor teams, and drive production-grade AI deployments aligned to business goals.

Lead design and delivery of enterprise-scale generative AI and agentic systems: define architecture, integrate foundation models, build cloud-native infrastructure and MLOps pipelines, orchestrate workflows and integrations, mentor teams, and guide solutions from concept to production.