Top Artificial Intelligence Jobs

Lead identification, experimentation, and scaled adoption of AI solutions across Finance. Partner with Finance, IT, Data, Security, and Risk to design pilots, implement tools, train users, ensure governance, track outcomes, and provide executive recommendations.

The Senior AI/ML Engineer will architect and maintain intelligent automation solutions, focusing on generative AI applications and integrating AI capabilities across business functions in the AWS ecosystem.

Lead the strategy and governance of enterprise-wide AI capabilities, ensuring compliant adoption and improving technology platforms while mentoring teams and managing executive relationships.

The Staff Data Architect - AI designs and implements data architecture to enable AI and machine learning for bio-manufacturing, optimizing data systems and ensuring robust infrastructure.

Summer internship contributing to development, evaluation, and deployment of generative AI and agent systems. Work includes LLM integration, prompt engineering, RAG, experimentation, testing, documentation, and collaboration with ML engineers and stakeholders under senior guidance.

The Engineering Manager will lead the design and evolution of AI-Enabled Investment Platforms, manage engineering teams, and ensure high-quality system delivery.

As Lead Data Engineer, you will design and build data solutions for AI and analytics, guide teams, and collaborate on Gen AI applications.

You will be responsible for defining and building savvy's cloud infrastructure, CI/CD pipelines, and developer tooling, while leveraging AI to enhance engineering workflows.

The Senior Manager, AI Strategy & Operations leads AI strategic planning and implementation across business areas, ensuring project execution, performance analysis, and governance. Responsibilities include identifying AI use cases, conducting ROI analysis, and maintaining vendor relations while driving innovation and operational efficiency.

The role involves executing AI strategy and operations, managing AI platform/service rollout, conducting market research, supporting AI use case discovery, and ensuring governance.

The Head of Workforce Transformation & Applied AI will lead AI-driven HR solutions, enhance workforce effectiveness, and oversee technology-enabled change initiatives across the organization.

The Data/AI Cloud Engineer will implement AWS data services, build ETL pipelines, optimize databases, and support data-driven solutions collaborating with technical teams.

The Deployment Strategist at Amigo will manage customer relationships, design AI agent solutions, and drive deployment performance while translating customer needs into effective strategies.

As an Applied AI Engineer, you will implement production AI agents for healthcare, collaborating with clinical teams and customers while ensuring compliance and performance.

The Product Manager will lead agent quality, design evaluation strategies, manage customer relationships, and coordinate cross-functional efforts in a healthcare AI setting.

Design and implement AI agents for healthcare, model clinical workflows, evaluate performance, and translate feedback into technical changes with minimal oversight.

The role involves designing and managing scalable data pipelines, ensuring data quality and governance, and enabling AI-driven automation while collaborating with various stakeholders.

The Lead AI Engineer will architect and guide the development of enterprise AI agents, mentor senior engineers, and ensure alignment with strategic goals.

The intern will benchmark AI/ML workflows on HPC systems, evaluating tools like Chakra/Astra-Sim, performing data analysis, and documenting results.

As a Sales Engineer, you'll create POCs and demos, partner with sales teams, and innovate AI solutions for healthcare use cases.

Manage the product development for a cloud cost management platform, driving strategy, user research, feature development, and cross-functional collaboration to enhance product performance and customer satisfaction.

The Senior Analyst drives digital transformation initiatives in external manufacturing, optimizing data flow and leveraging AI technologies to enhance operational efficiency and compliance.

Develop open-source AI solutions, integrate new components into Red Hat OpenShift AI, and ensure code quality through tests and reviews.

The internship involves auditing AI outputs, developing personalized content, and supporting the strategy of new AI agents, focusing on marketing optimization.

The Software Engineer, AI will architect and maintain data pipelines, design distributed systems, build AI applications, and collaborate cross-functionally on ML-driven features.