Top Artificial Intelligence Jobs in Pittsburgh, PA

Customer-facing senior engineer who deploys and operates an LLM-powered AI SRE product in enterprise environments. Own end-to-end implementations, integrations (observability, ITSM, ticketing, collaboration), migrations from incumbent AIOps platforms, incident response and RCA, alert normalization, and production-grade AI workflow design while driving customer outcomes and product feedback.

Owner of all customer-facing copy: high-converting email sequences, landing pages, ad copy, VSLs, upsells/downsells. Must turn proof and testimonials into revenue-driving funnels, move fast, and use AI (Poppy) daily. Proven revenue results required.

Own and operate the end-to-end creation platform (frontend, backend, infra, models). Improve real-time generation latency and reliability, optimize cost at scale, maintain queues/fallbacks, and ship continuous improvements to the core create/remix loop and feed/ranking systems.

The Senior Marketing Manager will drive brand partnerships, PR, community engagement, and advocacy programs, focusing on strategic growth for a consumer app.

Conduct research on Large Multimodal Models for Conversational Avatars, developing real-time modeling methods for verbal and non-verbal conversations, and partnering with Applied ML to transition prototypes into production.

Lead external narrative and creator relationships: own PR strategy, secure media placements, run product launch communications, build and manage influencer programs across major social platforms, monitor coverage and campaign performance, handle crisis communications, and collaborate cross-functionally with product, growth, and design.

The Enterprise Account Executive manages the full sales cycle, engages with stakeholders in complex enterprise environments, and drives growth in research-focused sectors.

The Enterprise Account Executive will manage the entire sales cycle, build business through outbound efforts, and serve as a technical advisor, driving customer success and growth for CodeRabbit's Enterprise Sales team.

Lead end-to-end customer engagements to architect, implement, and optimize large-scale Spark/Databricks workloads. Troubleshoot and tune PySpark and DBSQL jobs, design PoCs and workshops, advocate strategically for customers, collaborate cross-functionally, and mentor junior engineers on Lakehouse best practices.

Design and build backend services, APIs, SDKs, and user-facing systems enabling secure agent-to-agent financial interactions. Implement cryptographic identity, payment workflows, transaction processing, reputation tools, and scalable infrastructure for AI-native financial products.