Top Artificial Intelligence Jobs in Pittsburgh, PA

The Principal Network Engineer will design, implement, and manage front-end network architecture for large-scale AI infrastructures, ensuring performance and reliability while collaborating with various teams.

The VP, Sales & Strategic Partnerships will lead sales strategies, manage key accounts, and drive business growth through partnerships. Responsibilities include implementing sales plans, overseeing business development, improving sales operations, and collaborating with cross-functional teams to meet company objectives.

Build and maintain high-quality web interfaces, own features from implementation to release, work on performance, and integrate APIs with backend engineers.

First SDR to convert inbound interest into qualified opportunities: nurture leads across channels, conduct discovery, qualify and book demos, follow up persistently (email/phone/LinkedIn), and develop product knowledge to handle objections.

The Supply Chain Specialist role involves participating in warehouse rotations, optimizing inventory processes, learning WMS, and supporting collaborative operations between teams.

Design secure, scalable cloud-native solutions and Microsoft ecosystem integrations (Azure, Dynamics 365, Power Platform, Dataverse) for Lirio's AI-driven behavioral platform. Produce architecture artifacts, define integration boundaries, build prototypes, support engineering and client technical engagements, and ensure compliance, observability, and operational excellence.

Lead end-to-end design and registration of agricultural soil carbon projects, interpret and implement VCS methodologies, design soil carbon sampling and GHG measurement strategies, prepare and defend project documentation, embed methodological rigor into products and processes, train staff, advise leadership on risk and strategy, and represent Perennial in registries and industry forums.

The Lead Engineer for BI will design data solutions, lead project teams, mentor, and drive BI strategy aligning with business needs.

This role involves developing AI-powered analytics interfaces and tools, collaborating with a skilled team to enhance customer data experiences.

As a Senior DevOps Engineer, you will design and optimize cloud infrastructure, manage CI/CD pipelines, and ensure system security and scalability in a fast-paced environment.