Top Artificial Intelligence Jobs

Lead AI engagements, shaping strategy and architecture. Engage with various stakeholders, design AI operating models, and facilitate workshops. Drive expansion opportunities and contribute to internal frameworks.

As an AI Platform Engineer, you will establish the AI development lifecycle, drive adoption, and improve software delivery practices while collaborating across teams.

The Azure AI Applications Engineer will lead the development and implementation of intelligent applications using Azure AI services, while architecting solutions, mentoring junior engineers, and collaborating on project delivery across multiple sectors.

Design and build features that enhance user capabilities with AI, focusing on innovative interaction and integrating research insights into products.

The Solutions Engineer will drive the adoption of AI-powered solutions in the electric utility sector, providing technical consulting and customer enablement. Responsibilities include gathering requirements, architecting solutions, leading RFI/RFP processes, and delivering training. Extensive travel is required for client engagement.

The Manager of Strategic Partnerships and AI Operations will oversee systems and workflows for evaluating and managing partnerships, leveraging AI for efficiency. Responsibilities include process management, partner communication, and market research, with a strong focus on tech-enabled solutions.

The Senior Manager, AI and Data Science will lead the development of AI solutions, collaborate across functions, and implement machine learning models to support biomedical applications, focusing on healthcare data integration and operational efficiency.

As a QA Automation Engineer, you will develop automated and manual testing frameworks, validate AI systems, and collaborate with teams to ensure quality and coverage.

The Senior Software Engineer will design, build, and maintain data infrastructure and processing systems, ensuring robust data pipelines and collaborating with stakeholders on data discovery and lineage initiatives.

As SVP - AI & Digital Platform, you will lead AI and digital tech initiatives, develop strategies, and build platforms for efficiency across Flagship's operations.

Lead a high-performing AI/ML team, oversee technical roadmaps, and translate customer requirements into effective AI solutions while maintaining exceptional standards.

Collaborate on research projects in generative AI and reinforcement learning, design experiments, create datasets, and contribute to publications.

The Staff AI Engineer will design and build AI systems for healthcare, focusing on agentic behavior, coordination, and workflow execution, while mentoring engineers and ensuring system reliability.

Lead the design and development of ML inference systems, focusing on generative AI models and optimization techniques for production environments.

The Senior AI Engineer will design and build architectures for AI systems, translate healthcare processes into AI solutions, and ensure operational reliability while partnering with domain experts.

The role involves delivering solutions to technical problems, optimizing APIs, transforming requirements into tasks, mentoring, and participating in hiring.

As an Account Executive, you'll prospect and close new business, consult with customers, and develop sales strategies in a fast-paced startup environment.

The Senior Solutions Engineer will bridge product and client-facing teams, ensuring the integration of AI solutions into insurer environments, while collaborating with sales and customer success for implementation and advocacy.

Design, build, and operationalize AI agentic solutions across the software lifecycle. Own backend responsibilities, contribute to frontend, define technical requirements, deliver maintainable code, collaborate with clients, and stay current with AI, LLM orchestration, and evaluation practices.

The Sales Executive will lead the sales cycle for Digital Twin solutions, managing lead generation, technical presentations, and client relationships to enhance operational efficiency in warehousing and logistics.

Lead marketing engineering and AI strategies, oversee campaign operations, manage technical implementation, and collaborate across teams to enhance marketing performance.

The Senior Product Manager will lead the strategy and execution of AI-powered recruiting products, collaborating with engineering and design teams to enhance user experience and drive product strategy based on user feedback and data analysis.

The Director of Technical Strategy will identify and drive partnership opportunities, guide technical integrations, and represent the company at industry events. Responsibilities include leading strategic initiatives, collaborating with internal teams, and ensuring enterprise standards.

Develop AI agents and generative applications using large language models. Collaborate with teams to enhance agent capabilities and solve complex problems.

The Senior Software Engineer will design, develop, and maintain full-stack applications, integrate AI features, and improve system architectures across frontend and backend layers.