Top Artificial Intelligence Jobs

Pioneering machine learning solutions for the defense sector, developing and deploying production-grade ML models, tackling complex data challenges, and collaborating with engineers.

The VP of Data Science will lead a data organization, manage teams, drive AI/ML strategy, oversee data infrastructure, and ensure alignment with business goals while fostering collaboration.

The Enterprise AI Sales Executive will drive sales, qualify leads, and build client relationships by selling GPU-based AI solutions to enterprise clients, focusing on closing deals and exceeding sales targets.

The role involves implementing AI safety strategies, building evaluation frameworks, and developing safeguards against scientific risks from AI models. Candidates must possess strong technical knowledge and communicate complex concepts effectively.

Lead solutions architecture for government clients, embedding with stakeholders to deploy GenAI solutions, and ensuring project success through prototype development and technical guidance.

The Senior/Staff AI Researcher will lead research in Generative AI, focusing on model improvement, algorithm development, and product integration while managing cross-functional collaborations and monitoring industry trends.

As an Applied AI Research Engineer, you'll work on ML projects, build models, integrate them into platforms, and drive business impact through AI applications.

The AI / ML Solutions Engineer will implement and scale machine learning workloads using Ray, advise customers on ML architecture, and enable MLOps teams through technical guidance and support.

The AI Technical Architect is responsible for designing, deploying, and operationalizing AI/ML solutions in healthcare, collaborating with various teams to enhance patient outcomes and operational efficiency.

The AI Integration Engineer will connect healthcare data systems with AI platforms, focusing on data transformations using Python and interoperability standards like HL7 and FHIR, while coordinating with offshore teams and improving integration performance.

As a Ruby AI Tutor, you will review Ruby code for safety and correctness, solve system-level problems, and summarize decision-making processes.

As a DevOps Infrastructure as Code Engineer, you design and maintain cloud infrastructure, automate processes, and monitor performance for AI applications.

The Senior Software Engineer will build evaluation infrastructure for AI systems, ensuring reliability and accuracy. Responsibilities include designing datasets, benchmarks, and test harnesses for AI behavior assessment.

As a Backend AI Engineer, you will design and implement AI features, manage AI initiatives, and collaborate across teams to leverage AI for payment solutions.

The Machine Learning Engineer will prototype and evaluate LLM features, collaborate with teams, contribute to technical design, and measure success metrics.

Lead the Organizational Productivity practice, focusing on diagnosing challenges and defining AI- and automation-driven solutions for process improvement across business functions.

Lead the Applied ML team's experimentation efforts, mentoring scientists and engineers to improve AI-driven methodologies and collaboration across various product areas.

The Senior Technical Program Manager is responsible for site and data center operations, leading cross-functional programs, ensuring operational readiness, and managing metrics and KPIs for AI infrastructure.

Lead the design and implementation of AI solutions across clinical and operational workflows while ensuring quality, reliability, and integration with existing systems.

Design, develop, and deploy Agentic AI systems. Collaborate to deliver scalable AI solutions, mentor juniors, and stay updated on AI advancements.

Lead the technical vision for AI developer tools at Waymo, driving innovation in software engineering and mentoring teams. Oversee the development of AI agents and tools for enhanced engineering efficiency and quality of systems.

The VP of Business Development will lead strategic partnerships in the adtech industry, expand performance solutions, identify revenue opportunities, and manage stakeholder relationships.

The Head of Data & AI Enablement drives the enterprise data strategy, overseeing governance, analytics, and AI initiatives to enhance organizational decision-making.

The Pre-Sales Architect designs tailored solutions for clients, conducts product demos, develops proposals, and supports sales teams during the sales cycle.

The Sales Engineer will serve as a technical lead, guiding clients on advanced data integration and analytics solutions in healthcare, impacting revenue and client engagement.