Top Artificial Intelligence Jobs in Pittsburgh, PA

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.

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 business development for Special Operations: identify mission needs, build trusted SOF relationships, shape requirements and capture opportunities through proposal and award, manage pipeline and forecasting, influence acquisition strategies, partner across internal teams, and represent NODA at demonstrations and industry events.

Lead full-cycle technical recruiting, including sourcing, candidate engagement, stakeholder partnership, interviewing guidance, offer negotiation, and closing. Build qualified talent pipelines, analyze recruiting data, improve hiring processes, and serve as a strategic recruiting partner in a high-growth startup environment.

Own the strategy, development, and delivery of Motional’s fleet operations software ecosystem and Command Center application. Define requirements, prioritize backlogs, track KPIs, and collaborate with cloud, embedded, mobile, hardware, AI/ML, and QA teams. Lead complex technical products from concept through launch and iteration, supporting vehicle deployment, fleet management, field operations, maintenance, and customer assistance.

Quality Analyst role with Teleperformance, supporting the company’s commitment to service excellence, employee engagement, inclusion, and customer experience. The posting provides no specific responsibilities, qualifications, technologies, compensation, travel, or clearance requirements.

Own machine learning problems end to end, from framing ambiguous requirements through production deployment. Build NLP and LLM systems, data pipelines, model-serving infrastructure, evaluation and monitoring systems. Select data, models, metrics and system designs while critically reviewing AI coding agents. The role combines research and engineering, requiring strong ML fundamentals, expert Python, testing discipline and independent ownership of complex problems.

Performs exploratory data analysis, extracts and transforms data from BigQuery using complex SQL, builds production data models with dbt, investigates data quality issues, and supports data integrations. Uses Git and GitHub for version control and code review, Linux for scripting and file management, and Jira and Atlassian automation for workflow management.

Build and manage relationships with healthcare referral partners across Pittsburgh, drive market penetration, and support patient access to behavioral health services. The role involves frequent local field meetings, educational presentations, networking, partner engagement, market feedback, and collaboration with marketing, product, client success, and legal teams to achieve go-to-market goals.

Provides technical customer support for Replit users by resolving product issues, debugging bugs, offering technical guidance, triaging tickets, maintaining the knowledge base, communicating outages, and reporting issues to Engineering. The role also contributes to internal support tools and automation while meeting ticket volume and resolution targets. It is a full-time NYC weekend-shift position with in-office work on Mondays and Wednesdays.