Top Artificial Intelligence Jobs in Pittsburgh, PA

The Senior Backend Software Engineer will design and scale backend systems using Python and FastAPI, collaborate with researchers, optimize infrastructure, and implement testing and monitoring systems.

The Project Manager will lead client projects in healthcare AI, managing timelines, stakeholder engagement, and ensuring project delivery from design to implementation.

The Chief Technology Officer leads technology vision and strategy for a communications platform, overseeing engineering, infrastructure, security, compliance, and executive collaboration.

The role involves designing, building, and maintaining the LiveKit Rust SDK and core modules, leading by example while mentoring others, and collaborating with cross-functional teams. Responsibilities also include managing testing, performance profiling, and contributing to SDK architecture.

As a Staff Rust SDK Engineer, you will design, build, and maintain the LiveKit Rust SDK and core modules, leading engineering practices while collaborating across teams to optimize performance and developer experience for real-time applications.

The Account Executive will develop business opportunities, manage sales processes, build customer relationships, and collaborate with internal teams in a SaaS technology company.

Manage GTM operations, build reports and dashboards, analyze performance data, coach SDRs, and develop prospecting strategies.

The Content & Prompt Operations Specialist manages AI-assisted content workflows, ensuring accuracy and engagement in content produced. Responsibilities include writing prompts, drafting content, proofreading, and improving AI outputs while following structured processes.

The Product Manager will lead product direction and execution for client projects, focusing on defining requirements, managing backlogs, and collaborating with teams to deliver AI-enabled solutions, while also mentoring Ascendance Fellows.

Lead cross-EHR integration strategy and workflow design, advise Product and Engineering on EHR APIs and feasibility, align cross-functional teams, reduce integration risk, and accelerate multi-EHR time-to-market.