Top Artificial Intelligence Jobs in Pittsburgh, PA

Build and lead Factory’s commercial compliance program for regulated enterprise sales. Responsibilities include creating policies and processes, reviewing security questionnaires and contracts, ensuring HIPAA, DORA, and ICT risk compliance, managing vendor and subprocessor risk, aligning product and security standards, monitoring AI governance and privacy requirements, and automating compliance workflows. The role partners across Sales, Deal Desk, Legal, Engineering, and Security and requires 6+ years of relevant experience.

Drive enterprise SaaS sales across EMEA by prospecting AI and machine learning stakeholders, conducting discovery, presenting Arize’s platform, managing proof-of-concept engagements, navigating complex sales cycles, closing new business, driving adoption, and expanding customer accounts. The role requires full-cycle enterprise sales expertise, strong communication, independent execution, account research, and relationship-building within the AI/ML community.

Owns full-cycle B2B sales and business development for translation, localization, and language technology solutions. Responsibilities include prospecting, pipeline generation, discovery, solution development, proposals, RFP responses, negotiation, contracting, forecasting, and client handoff. The role builds executive relationships, meets revenue and activity targets, collaborates cross-functionally, represents the company at industry events, and maintains accurate CRM data. This is a remote U.S. position requiring less than 25% travel.

Build and lead DriveNets’ advanced support organization for AI Factory deployments. Hire Tier 3 engineers, establish support tiers, SLAs, escalation paths, on-call operations, and knowledge management. Own critical multi-vendor incidents, customer communications, RMA strategy, diagnostics, post-incident reviews, and collaboration with AMD and R&D. Shape support product requirements, oversee customer onboarding, track service-health KPIs, and improve resolution speed, fault pinpointing, and no-fault-found rates.

Own FAR.AI’s earned media strategy, including research release planning, reporter and outlet relationships, media training, inbound requests, op-eds, pitches, and reactive communications. The role requires shaping coverage of AI safety research, preparing researchers and leaders for interviews, deciding how to communicate sensitive findings, and securing credible coverage among AI and policy audiences.

Develop and deliver Power Apps, Power Automate, Power BI, data visualization, and Microsoft 365 solutions for an Army customer. Engage customers to define requirements, manage expectations, document technical solutions, conduct user acceptance testing, create training resources, and provide project status updates. Build model-driven and canvas applications, automate business processes, support data modeling and visualization, and maintain integrations across the Power Platform ecosystem.

Design, build, and operate resilient AWS cloud infrastructure, Kubernetes platforms, CI/CD pipelines, and infrastructure-as-code modules in a regulated medical-device environment. Improve security, scalability, performance, cost efficiency, deployments, and operational support. Collaborate with Engineering, QA, IT, and Security teams while troubleshooting distributed systems and providing technical leadership across global teams.

Develop and improve AI agents and machine learning models that identify financial opportunities in healthcare contracts, supply chain, pharmacy, and managed care data. Analyze complex datasets, automate manual workflows, build information extraction and agentic capabilities, and establish evaluation frameworks. Collaborate with engineering, product, value engineers, and healthcare subject-matter experts to translate research into scalable solutions with measurable financial impact.

Own customer-facing product areas from concept through production. Build and ship full-stack features, iterate on UI, UX, and application logic, translate ambiguous goals into engineering plans, and measure outcomes. Collaborate with deployment teams and customers, troubleshoot production issues, and independently make product and technical tradeoffs. The role requires strong TypeScript, SvelteKit or comparable frontend, Postgres, backend development, and experience building software for government or defense users.

Lead cross-functional Data Foundations programs spanning telemetry, platform health metrics, analytics infrastructure, data governance, and reliability. Own technical requirements, roadmaps, stakeholder alignment, delivery operations, and organizational adoption without direct authority. Partner with engineering on pipelines, event streaming, service levels, and anomaly detection while contributing to product discovery and customer use-case analysis. The role requires SQL proficiency, modern cloud data stack knowledge, and strong technical program management experience.