Top Artificial Intelligence Jobs in Pittsburgh, PA

Lead the quality engineering efforts for Replicant's AI platform by defining standards, improving testing strategies, and mentoring a QA team to ensure high-quality outputs across software systems.

The Account Executive drives revenue through Precision Marketing solutions in Pharma, Biotech, and Diagnostics, managing sales processes and key accounts.

Execute fashion design briefs using Raspberry AI to produce flats, tech packs, colorways, prints, mood boards, and concept visuals. Translate creative direction into precise prompts, iterate on feedback, maintain brand-consistent quality, document workflows, flag platform issues, and partner with US Customer Success for intake and delivery under tight turnarounds.

The Partner Sales Manager will oversee channel business, manage relationships with resellers, and drive pipeline growth while achieving sales quotas across teams.

The Sales Engineer will demonstrate technical expertise in cybersecurity, engage customers, support sales strategy, conduct product demos, and provide post-sale support.

This role leads the HR and people operations across multiple property management companies, focusing on building centralized systems, recruiting, training, and organizational integration.

Manage a book of 100+ customers using digital/tech-touch strategies to drive engagement, retention, renewals, and expansion. Maintain customer records, analyze usage and satisfaction data, implement automation and workflows, develop one-to-many content, and collaborate cross-functionally to optimize customer journeys and meet renewal/upsell targets.

As an Enterprise Sales Executive, you will manage the sales cycle for immersive EHS/HSE solutions in Energy and Manufacturing, focusing on engagement with leaders for safer operations and improved training practices.

Own the data pipeline product roadmap and execute end-to-end delivery for ingestion, transformation, validation, auditability, and AI consumption. Write PRDs and technical specs, work hands-on with data (SQL), define data quality and lineage standards, partner with engineering, actuarial, and implementation teams, and prioritize platform capabilities to make pipelines scalable, configurable, and self-serve for non-engineers.

Develop and maintain the Keycard Agent SDK, ensuring compatibility with various languages and frameworks, while engaging with the developer community to enhance agent applications.