Top Artificial Intelligence Jobs in Pittsburgh, PA

Drive ASI's growth in the energy sector by developing strategies, building relationships, identifying opportunities, and aligning customer needs with product capabilities.

Lead end-to-end enterprise sales for an AI-native claims platform: own complex deals, shape GTM playbook, influence product roadmap, represent Vega to senior insurers, and build repeatable sales processes and mentorship.

Lead multiple hardware and software product implementations end-to-end: develop project plans, drive delivery and training, manage customer stakeholder relationships, collaborate cross-functionally, optimize implementation processes using lean tools, and transition sites to clinical success managers while meeting timeline, budget, and KPI targets.

Lead full sales cycle for Microsoft Azure enterprise accounts, generating pipeline via inbound/outbound and partner channels, collaborating with Microsoft and internal teams, forecasting in CRM, driving customer events, and advocating customer needs to shape product and GTM strategy in the FinOps space.

Owns enterprise PLM platform operations, including installation, configuration, performance tuning, upgrades, migrations, integrations, high availability, disaster recovery, and troubleshooting. The role supports Windchill or Teamcenter environments, databases, Linux/Unix systems, middleware, scripting, cloud deployments, infrastructure as code, and CI/CD change management while partnering with engineering and manufacturing teams.

Design, implement, test, and deploy high-performance infrastructure for autonomous vehicle software, including logging frameworks, robotics middleware, operating-system components, software deployment systems, and sensor interfaces. Improve system performance, reliability, usability, and safety in resource-constrained environments. Collaborate with autonomy, cloud, and safety teams while applying robust testing, code review, concurrency, and systems programming practices.

Performs quality assurance on labeled autonomous-vehicle sensor data, identifies error trends and discrepancies, tests tools, mentors team members, provides feedback to labeling partners, creates clarification materials, and escalates quality concerns. The role requires sustained attention to large data volumes, clear bug and trend reporting, and collaboration with training and operations teams.

Develop and maintain simulation, analysis, debugging, visualization, and rerun tools for autonomous driving software. Build high-performance C++ tools and Python backend tooling, enable parameter overrides and local or cloud-based execution, and create GUI or web-based visualizers for step-through behavior analysis. Collaborate with planning and controls engineers, optimize tool performance, and support automated root cause analysis across complex autonomy codebases.

Develop embedded C/C++ and Python software for robotic and ultrasonic testing systems. Build diagnostics, tooling, tests, and workflows; integrate hardware-facing interfaces; investigate system behavior; document findings; and collaborate with engineering teams. The internship is full-time and onsite in Pittsburgh during Summer 2027.

Own healthcare product definition from discovery through launch and iteration. Define requirements, prioritize roadmaps, ship MVPs, align engineering, clinical, operations, and executive stakeholders, and navigate interoperability across EHRs, payer systems, and other healthcare data sources. Make decisive, data-informed decisions, translate technical constraints into product tradeoffs, and communicate product direction through workflows, prototypes, PRDs, and user stories.