Top Artificial Intelligence Jobs in Pittsburgh, PA

Own lifecycle email and in-app campaigns for portfolio products using Iterable and HubSpot. Build, schedule, test, and optimize customer journeys; coordinate cross-functional marketing projects; develop A/B tests; analyze campaign performance; improve execution systems and processes; and support cross-product adoption across Superhuman’s product suite.

Support Salesforce administration, configuration, automation, data quality, security, user permissions, and ticket triage. Translate business requirements into scalable solutions, maintain documentation, monitor platform processes, and collaborate with senior team members. The role also involves building and monitoring internal process automations using Claude.

Leads enterprise data protection and AI security strategy, architecture, and execution. Builds and manages security engineering teams; oversees Microsoft Purview classification, labeling, DLP, endpoint protection, insider risk, and DSPM. Defines security controls for generative AI, LLMs, agents, and AI-enabled SaaS; guides AI governance and vendor assessments. Partners with Security Operations and Incident Response to address data exfiltration, insider threats, and AI-related incidents while meeting regulatory and contractual obligations.

Lead a small, hands-on engineering team responsible for analytics infrastructure and member growth. Own technical strategy for ClickHouse-powered analytics, data visualizations, and LLM-enabled data experiences, while guiding onboarding and activation roadmaps. Write and review code, design experiments, partner with product and design, make architectural decisions, and hire, mentor, and develop engineers. The role requires strong web application experience, product judgment, communication skills, and expertise across Ruby on Rails, databases, ReactJS, and TypeScript.

Senior legal counsel supporting product, engineering, cloud marketplace, AI, and strategic alliance transactions. Responsibilities include negotiating inbound technology licenses, OEM and API agreements, cloud-provider partnerships, AI platform contracts, joint development arrangements, marketplace terms, and related IP, privacy, security, competition, and compliance matters. The role also manages agreement lifecycles, develops legal playbooks, advises on technical implementation, and ensures upstream contractual obligations align with customer commitments.

Leads technical discovery and designs high-density wireless solutions for stadiums, arenas, convention centers, and other large venues. Responsibilities include RF planning, predictive modeling, site surveys, capacity planning, architecture, proposals, demonstrations, customer presentations, deployment support, and technical escalations. Partners with sales, product, services, and channel teams to deliver HPE Aruba Networking solutions and advise customers on Wi-Fi, switching, security, and venue connectivity.

Leads systems engineering for flight management avionics, including software requirements definition, hardware and software integration, deployment, troubleshooting, laboratory test-bench integration, and verification and validation. Provides technical leadership for complex engineering projects and ensures compliance with aviation certification, security, and systems engineering standards. Requires extensive Flight Management or Flight Guidance experience and collaboration with software and systems engineering teams.

Leads a multidisciplinary data science and data engineering team supporting Finance. Sets strategy, prioritizes initiatives, guides analytical models and data architecture, advances AI and machine learning applications, improves data quality and reliability, establishes scalable operating processes, and communicates technical recommendations to Finance and executive stakeholders. The role also manages talent, oversees forecasting and decision-support outcomes, and drives measurable business impact.

Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.

Serve as the technical SAP integration expert in pre-sales engagements. Advise prospects on SAP landscapes, APIs, connectors, SFTP, SAML, data structures, and automation workflows. Support late-stage sales opportunities through demonstrations, technical discovery, proof-of-concepts, integration design, and customer-facing documentation. Collaborate with Sales, Solutions Consulting, Product, and Engineering teams to resolve technical blockers and communicate integration requirements.