Top Artificial Intelligence Jobs in Pittsburgh, PA

Build and ship agentic AI features across the full stack: design LLM-driven workflows, implement backend APIs and frontend UI, integrate MCP server capabilities, monitor production behavior, and iterate based on customer use. Drive projects independently, collaborate with product/design/engineering, and use agentic coding tools to prototype and deliver end-to-end features.

Collaborate with the founding team to design, prototype, and scale backend and infrastructure for an agentic AI assistant. Implement orchestration logic, API integrations, and LLM-driven workflows; build diagnostics, tests, and monitoring; improve agent reasoning and execution pipelines; participate in product and architecture discussions; document bugs and stabilize the platform for launch-readiness.

The role involves researching, writing, editing, and proofreading content across various media, while maintaining consistency and following company guidelines.

Partner with Executive Search leads to design search strategies, source passive candidates via LinkedIn, referrals and internet searches, build candidate pipelines, research sourcing tools, provide market/talent intelligence, and cultivate long-term candidate relationships.

The Principal LLM Application Engineer will develop and optimize Large Language Models, lead projects, evaluate performance, and collaborate across teams to enhance AI capabilities in cybersecurity.

The Customer Success Manager ensures customers achieve measurable outcomes using the SQREEM platform by driving outcomes, providing strategic advice, managing customer health, and expanding revenue within accounts.

Full-cycle enterprise sales role owning accounts end-to-end: prospecting, discovery, demos with SEs, negotiation, close, onboarding, and expansion. Build executive and operational relationships, lead ROI-driven demos and business cases, collaborate cross-functionally, and relay field feedback to product and GTM teams.

Lead development and execution of strategic partnership pipelines to drive commercial growth and audience expansion. Negotiate and implement partnership agreements, manage partner relationships, and coordinate cross-functional teams for seamless integration. Define and track KPIs, report ROI, and optimize partnership strategies to meet business objectives.

Develop novel, difficult evaluation tasks for frontier AI models; verify task specifications and solvability; baseline and score model and human completions; and improve task development infrastructure and workflows to support METR's Time Horizons evaluations.

Lead strategy and roadmap for a core product area focused on applicant and property verification. Improve user flows, reduce manual review via automation, align cross-functionally with engineering, sales, and customer success, and own outcomes and metrics to scale the product and partnerships.