Top Artificial Intelligence Jobs in Pittsburgh, PA

Provide regional technical support, training, and advanced controls/software expertise for FANUC robotics integrators and end users. Use CAD and FANUC tools for simulations, demos, vision troubleshooting, and pre-engineering. Support sales with application assistance, accompany sales calls, document support requests, attend trade shows, and travel up to 50%.

The Perl Developer will rewrite an application on a new platform, design front-end interfaces, add features, and improve user experience, while collaborating with cross-functional teams and ensuring quality deliveries.

Design and operate scalable infrastructure and automation for real-time video ML workloads. Build Kubernetes orchestration, CI/CD pipelines, IaC, monitoring, and high-performance Linux/networking systems for cloud and edge deployments, collaborating with ML engineers to validate and scale model deployments.

Contract Tableau Analyst in Pittsburgh to build and publish dashboards, transform large/raw datasets, interpret data into written reports, and communicate findings to diverse stakeholders. Requires strong analytical, communication, time-management, and independent work skills.

Provides legal and strategic advice on global employment and labor matters, including employee relations, compliance, benefits, immigration, recruiting, compensation, policies, and disputes. Drafts and negotiates employment agreements, supports investigations and litigation, advises on AI use in employment processes, monitors changing laws, and develops scalable legal playbooks while partnering with People and business teams worldwide.

Supports client-facing technical issues, escalates bugs, monitors production systems, troubleshoots web and email problems, updates backend data, and contributes to software features, data pipelines, APIs, and responsive applications. Works cross-functionally with Engineering, Product, QA, and Data teams while developing skills in web technologies, SQL, cloud environments, accessibility, and generative AI.

Lead forward-looking research on robot learning, hardware, supply chains, and commercialization. Produce reports, forecasts, and briefings; track mobile manipulators, quadrupeds, cobots, and autonomous vehicles; assess AI, edge compute, and simulation impacts; collaborate with cross-sector analysts; support investors, OEMs, and policy stakeholders; and present findings to senior executives and clients.

Research and forecast memory process-technology roadmaps (DRAM, NAND, HBM), evaluate manufacturing integration and economics, map technology transitions to equipment demand, benchmark vendor execution, translate technical disclosures into actionable research, and contribute to industry models and client-facing publications.

Conduct research on AI tokenomics by evaluating model architecture trends, building simulation models for training and inference efficiency across hardware and workloads, diligencing companies using model tokens, and forecasting economic impacts for investors, corporates, and policymakers.

Build innovative software products in the Special Projects Division addressing public health, agriculture, education, and aid-related challenges in Sub-Saharan Africa. Responsibilities include designing software architectures, developing on UNIX-based platforms, participating in code reviews, using disciplined version control, collaborating with teams, and potentially applying Django, React, Android, or PyTorch. The role may involve travel to Africa to understand local contexts.

Leads Wayvia’s marketing function, including demand generation, market positioning, product marketing, brand communications, agency partnerships, budget management, and customer community development. Owns marketing-sourced pipeline and strategy, partners with Sales and Product, leads a multifunctional team, and builds AI-enabled marketing operations.

Partner with enterprise customers to deploy Agentic AI solutions from ideation through production. Translate customer needs into requirements and workflows, build solutions, collaborate across Product and Engineering, maintain project documentation, and own end-to-end testing and release validation.