Top Artificial Intelligence Jobs in Pittsburgh, PA

Lead end-to-end AI implementations for enterprise legal and compliance teams: deconstruct workflows, translate legal documents into actionable AI logic, onboard and train users, troubleshoot strategic and technical blockers, feed product insights to engineering, and build repeatable playbooks to scale deployments.

Provide end-to-end federal travel-management support for FRTIB: planning, authorizations, reservations, vouchers, reimbursements, reporting, training, and electronic travel-system administration (E2 Solutions, Go.gov). Ensure compliance with the Federal Travel Regulation, manage approval workflows, troubleshoot systems, support Go.gov transition, and deliver virtual and limited in-person training and reporting. Requires minimum 3 years federal travel-program experience and a favorably completed federal background investigation (minimum NACI).

Create video content, present at webinars and conferences, write sample code and documentation, review others' content, and respond to audience questions to educate and promote the product.

Lead the platform and integrations product strategy for a healthcare behavior-change AI platform. Own decisioning, orchestration, and interoperability (EHR/HIE/CRM/CMS) using standards like FHIR/HL7. Define data flows, identity/consent, and integration requirements. Align cross-functional teams (Engineering, AI/ML, Security, Behavioral Science) around roadmap, mentor product managers, embed compliance and responsible AI, and measure product outcomes tied to adoption and health impact.

Design and build scalable, secure cloud-native backend systems in AWS. Implement event-driven architectures, async concurrent processing, data pipelines, serverless services, and REST APIs (Flask/FastAPI). Ensure performance, caching, testing, debugging, and cloud security (IAM, encryption, authentication).

Owner of initial outreach and qualification for enterprise prospects: research targets, run multi-channel outbound (calls, email, LinkedIn), set discovery meetings, log activity in tools, respond to prospects, and collaborate with marketing and sales to hit activity and learning goals.

Own customer onboarding and long-term success for an enterprise AI Agent SaaS. Translate customer needs into product feedback, teach customers to use the platform, and drive adoption so AI Agents become part of daily workflows.

Lead technical partnership with Alphabet teams to drive adoption and integration of NVIDIA libraries, models, and frameworks. Coordinate cross-functional engineering and GTM teams, resolve integration challenges, influence product roadmaps, and deliver joint solutions that accelerate partner workloads and developer adoption.

Lead integration of technology into information systems, design data warehouse and BI capabilities, define data architecture and dictionaries, centralize disparate data, design dashboards, document system architecture, perform data quality and management, and provide solution engineering, pilots, and enablement for analytics and resource management.

The role involves owning the full enterprise sales cycle, developing relationships with software organizations, and collaborating with engineers on product direction.