Top Artificial Intelligence Jobs in Pittsburgh, PA

The Enterprise Solutions Architect will optimize user journeys, enhance customer success, deliver technical demos, and provide support to ensure product utility.

The Account Executive drives revenue through Precision Marketing solutions in Pharma, Biotech, and Diagnostics, managing sales processes and key accounts.

Senior commercial leader owning payer go-to-market and enterprise sales for health plans. Responsible for originating and closing complex enterprise SaaS deals, building executive relationships, recruiting and coaching Sales Directors, driving pipeline/forecasting discipline, and partnering cross-functionally to ensure customer success and expansion in a high-growth startup.

The Insurance Defense Attorney will represent clients in defense of liability claims, work on legal strategies, and negotiate settlements.

Design, build, and evaluate AI systems, focusing on natural language understanding and automation. Collaborate with teams to ensure production quality and performance metrics.

The Strategic Account Executive is responsible for acquiring new clients and expanding market presence by leveraging a data and AI platform, managing the sales cycle, and engaging with C-suite executives to provide tailored solutions.

The role involves designing data ingestion and processing systems, writing scalable backend applications, and optimizing performance of business-critical endpoints.

Own Salesforce and commercial data infrastructure to build pipeline architecture, forecasting cadence, and executive reporting. Improve CRM discipline, data quality, lead routing, and forecast accuracy. Partner with leadership and BD/capture teams, train users, create SOPs, and standardize revenue metrics across programs and geographies to enable scalable growth.

Lead a remote engineering org to define scalable SaaS architecture, build enterprise-ready platform foundations (reliability, observability, security), drive execution and delivery cadence, hire and develop engineering talent, and translate business priorities into technical plans while working with ML/AI and ad-tech use cases.

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.