Top Artificial Intelligence Jobs in Pittsburgh, PA

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.

The Lead Process Engineer optimizes operating processes for the AXIS platform in the BFSI sector, engaging with various teams to ensure scalable and compliant workflows. Responsibilities include end-to-end documentation, automation-first process engineering, and enhancing client implementations while integrating risk and compliance controls.

The Brand and Creative Lead is responsible for developing brand guidelines, designing creative assets, and ensuring brand consistency while collaborating with marketing teams and external vendors.

Provide omnichannel post-sale customer support (phone, chat, text) handling high-volume low-complexity and lower-volume higher-complexity inquiries. May support distribution center walk-in service, liaise between customers and production/distribution, handle returns/repairs, follow standard procedures, and work with moderate supervision to resolve routine issues.

The role involves driving sales as an Account Executive, managing client relationships, conducting product demonstrations, and collaborating with teams to ensure customer satisfaction.

The Enterprise Field Engineer engages with strategic accounts, driving technical success pre- and post-sales. Responsibilities include discovery, application building, onboarding, and customer enablement to ensure adoption and growth.

The Enterprise Account Executive will drive client acquisition, support existing customers, conduct product demos, and collaborate with teams to optimize technology use, focusing on AI and software creation.

The role involves building automated testing systems, ensuring software quality, improving test coverage, and debugging across software and hardware boundaries, with opportunities for field testing.

The Forward Deployed Engineer solves problems for customers, creates solutions, and drives impact through innovative approaches in a collaborative environment. They require strong technical knowledge and a focus on growth and problem-solving.

Lead development of large-scale data analysis and validation workflows for autonomous driving ML. Design metrics, build datasets, run statistical error and regression analyses, collaborate with ML and software teams, and maintain AWS/Kubernetes orchestration for large-scale evaluation.

This role leads the ML Acceleration team, focusing on enhancing ML model training efficiency and team management, while driving technical strategy and collaboration.

Lead and manage a new ML Acceleration team, driving strategy and development for faster ML model training and optimizing performance.

The Software Engineering Intern will contribute to machine learning projects, develop applications using Python and AI frameworks, and collaborate in a dynamic environment.

The Senior BI Developer will design and develop BI solutions including ETL processes, SSAS cubes, and project documentation. They will mentor team members, ensure security requirements, and manage tasks with effective communication.

As a Mechanical Engineer, you will design, implement, and validate mechanical systems for robotic platforms, ensuring reliability in real-world environments. Responsibilities include CAD modeling, thermal management, materials selection, and collaboration with cross-functional teams.