Top Artificial Intelligence Jobs in Pittsburgh, PA

Support the sales team by conducting cold calls, generating leads, assisting with sales strategies, handling administrative tasks, maintaining customer databases/CRM, and collaborating to meet sales targets while gaining hands-on experience.

Develop and maintain open-source Python frameworks and ML developer tools, architect scalable libraries, grow early-stage projects, build real-time streaming capabilities, integrate modern frontend technologies, and collaborate with open-source contributors and the broader developer community.

Build and maintain core backend services and frontend interfaces for a music metadata and royalties platform. Own features end-to-end, collaborate with founders and designers, optimize for performance, security, and scalability, and integrate modern AI and infra tools.

Own and build Palazzo’s revenue engine by personally closing mid-market and enterprise B2B SaaS deals while creating scalable sales processes, CRM reporting, messaging, collateral, and forecasting systems. The role generates qualified pipeline, manages demos and negotiations, collaborates with marketing and product, and eventually hires and coaches a small sales team.

Lead complex enterprise sales across named manufacturing accounts, from opportunity creation through global expansion. Build executive relationships, develop operational and financial business cases, navigate multistakeholder buying processes, manage pilots, negotiate commercial terms, and close high-value deals. Convert initial deployments into multi-site rollouts while improving account strategy, qualification, forecasting, and enterprise sales practices across the organization.

Internship role to design and implement automated testing using low-code/no-code platforms. Create, maintain, and run automated test cases, document and track defects, produce test plans and reports, improve test coverage, and communicate progress with clients and teams. Involves end-to-end responsibility from planning through deployment and incorporation of feedback.

Own a defined area of an AI-powered oncology platform, managing its backlog, specifications, release notes, documentation, analytics, and performance measures. Write user stories and acceptance criteria, coordinate backlog grooming and sprint planning, collaborate with engineering and clinical teams, gather user feedback, prioritize improvements using data, and validate product releases.

Build and ship end-to-end production features across APIs, databases, user interfaces, and testing. Work primarily with TypeScript, React, Next.js, NestJS, PostgreSQL, and related technologies. Integrate third-party services, maintain scalable systems, debug production issues, write automated tests, and make architectural improvements. The role requires ownership, proactive communication, independent execution, and effective use of AI coding tools in a remote, async-first team.

Conduct industry-focused AI research on autonomous agents and world models. Develop models involving large language models, active inference, and optimal policies, including architecture experimentation, fine-tuning, deep-learning agent development, and action optimization. Candidates will work on real-world enterprise problems while pursuing cutting-edge research during a fixed-term three- or six-month fellowship.

Work directly with customers to design, deploy, and integrate end-to-end AI evaluation pipelines. Curate data, define annotation schemes, set up LLM-based judges, run initial experiments, produce actionable results, and translate technical systems into practical workflows for users.