Top Artificial Intelligence Jobs in Pittsburgh, PA

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

Six-month engineering internship building production backend services and AI pipelines. Design SQL schemas (PostgreSQL), implement SaaS integrations (REST APIs, webhooks), work with embeddings, transformer models and vector databases, build end-to-end data processing pipelines, and contribute to code reviews and architecture discussions.

Build and maintain core backend services and frontend interfaces for a music metadata and royalties platform. Own features end-to-end, collaborate with founders and designers, optimize for performance, security, and scalability, and integrate modern AI and infra tools.

Lead sales and partnership efforts with employee benefits consultants, brokers, advisors, and employers. Build and maintain partner relationships, demonstrate Milu's value proposition, drive business development, meet sales targets, and ensure excellent customer support in a remote environment.

Design and productionize ML models and agentic systems for intraday financial alpha generation. Build data pipelines, experiment frameworks, and portfolio optimization methods. Collaborate with quants and engineers to move models from research to live trading environments.

Serve as the first Customer Success Manager for law enforcement clients: drive product adoption, build relationships, resolve user issues, collect feedback, coordinate with product/engineering, create communications and training, and track key SaaS metrics (DAU, MAU, MRR/ARR, churn, expansion).

Build and run your own outbound pipeline with phone-first prospecting. Identify decision-makers, run high-volume outreach, qualify prospects, and book qualified meetings for the CEO and CTO. Help shape messaging and the outreach playbook as the company scales.

Implement and manage marketing automation tools, design and execute email campaigns, analyze campaign ROI, support go-to-market product launches, collaborate cross-functionally, and explore automation opportunities to improve efficiency and performance.

Own and scale a North American enterprise sales pipeline for an industrial AI platform. Drive six-figure deals into multi-site, seven-figure programs, manage complex buying cycles, negotiate end-to-end, align GTM and forecasting, partner with Customer Success and Product, and work directly with the CEO to build the US commercial presence.

Lead onboarding, adoption, and support for courier customers; troubleshoot workflows; analyze customer data for churn risks; surface product feedback; identify expansion opportunities; build scalable CS processes and documentation while collaborating with product, sales, and engineering.