Top Artificial Intelligence Jobs in Pittsburgh, PA

Manage integrated marketing campaigns and programs across email, digital, content, and webinars. Coordinate timelines, deliverables, stakeholders, marketing requests, asset distribution, campaign setup, reporting, dashboards, calendars, and cross-functional meetings. Partner with Sales, Customer Success, RevOps, Product, Marketing, and vendors to keep initiatives on track and communicate results.

Designs, implements, and manages enterprise SD-WAN, SASE, network security, cloud networking, and UCaaS solutions for managed-services clients. Leads network transformation projects, serves as a technical escalation point, mentors engineers, develops automation, creates documentation, and supports uptime SLA compliance. The role requires advanced expertise across Cato, Fortinet, Versa, Cisco Meraki, routing, switching, multi-cloud connectivity, Zero Trust architectures, and network programmability.

Develop new business and manage client relationships across manufacturing, logistics, and industrial sectors. Lead the full sales cycle from prospecting through closing, build relationships with clients and channel partners, tailor robotics solution demos and proposals, attend industry events, provide market feedback, and achieve revenue targets. The role requires strong B2B sales experience, knowledge of robotics and automation, and the ability to communicate technical concepts to nontechnical audiences.

Own enterprise customer relationships from onboarding through adoption, value realization, renewal, and expansion. Lead implementation projects, executive business reviews, success planning, demos, and customer escalations. Build workflows, reports, and dashboards, while handling API integrations, SQL queries, and Python scripting. Collaborate with Solutions Architecture, Engineering, Product, Sales, and Account Executives to drive customer ROI, advocate for customer priorities, and support renewals and growth.

Own regional capture supply for an embodied AI data platform by selecting target markets, building partner pipelines, negotiating commercial agreements, setting capacity plans, and managing partners through ramp-up. The role requires developing a regional playbook from scratch, securing high-volume capture partners, monitoring quality and output, growing successful relationships, reporting market insights, and traveling regularly across the region.

Create, solve, review, and validate coding-heavy machine learning tasks for AI training. Build and optimize models, training and inference workflows, data pipelines, evaluation systems, and reproducible Python workflows. Diagnose numerical and system-level failures, improve memory use and throughput, and verify technical correctness while working with coding agents.

Own a greenfield enterprise territory from prospecting through close and account expansion. Build primarily self-sourced pipeline, navigate complex 9+ month sales cycles, engage executive stakeholders, develop account plans, and position Gong as a strategic revenue platform. Partner with SDR, Sales Engineering, and Customer Success teams while managing land-and-expand relationships. The role is fully remote in the U.S. with up to 20% customer travel.

Reviews AI-generated legal and regulatory content for accuracy, completeness, legal reasoning, and jurisdictional relevance. Conducts authoritative legal research, verifies laws and regulatory guidance, identifies errors and unsupported conclusions, and documents structured feedback. Requires expertise in Mainland China or Spain legal systems, strong written English, independent work, attention to detail, and compliance with geographic eligibility requirements. This is a fully remote, freelance project involving approximately 36 hours of work.

Provides practical legal advice on domestic and international employment matters, including employee relations, compliance, investigations, accommodations, wage and hour issues, terminations, agreements, policies, claims, audits, litigation, and immigration initiatives. Partners with HR, leadership, and cross-functional teams to manage risk and support business growth.

Lead application and infrastructure security for LiteLLM, focusing on Python code reviews, vulnerability remediation, threat modeling, secure development tooling, CI/CD and supply-chain security, cloud and IT controls, incident response, and LLM-specific attack testing. Partner closely with engineers to strengthen authentication, authorization, tenant isolation, secrets management, deployment security, monitoring, vulnerability management, and disclosure processes.