Top Artificial Intelligence Jobs in Pittsburgh, PA

The Senior Application Architect will lead technical direction, oversee product development, manage Agile teams, and ensure solutions align with user needs and mission outcomes. Responsibilities include mentoring developers, managing risks, and collaborating on product roadmaps while leveraging architectural expertise in federal healthcare projects.

The Performance Marketing Manager will lead global paid acquisition strategies, optimize campaigns for qualified leads, manage media budgets, and enhance conversion through landing page testing while collaborating closely with sales and content teams.

The Senior Sales Executive role involves identifying new business opportunities, engaging potential clients, presenting services, and managing sales pipelines. This position requires strong B2B sales experience, excellent communication skills, and the ability to work on a commission-based compensation model.

Design high-performance C++ libraries for automated PCB design challenges, mentoring peers and shaping technical direction while collaborating with experts in various fields.

The Customer Success Executive will engage with health plan clients, drive user adoption of AI solutions, align implementations, and enhance overall client satisfaction.

Serve as pre-sales technical lead for federal customers, architecting and deploying AI security platform in SaaS and airgapped environments. Lead discovery workshops, scope proofs-of-value, build demos and POC AI apps, integrate SDKs/APIs, advise on AI/ML security and MLOps, deliver demos and written deliverables, and support onboarding and troubleshooting with Customer Success.

Lead delivery of large-scale virtual assistant deployments, act as single point of accountability for clients, advise Fortune 500 customers on customer service transformation, monitor success metrics, collaborate with engineering and sales, drive expansion, and improve agent design and operational processes.

Own Oscilar's AML product suite (transaction monitoring, KYC/KYB, screening, case management, SAR filing, AI agents). Define detection rules, model calibration, data strategy, and defensible audit trails. Collaborate with engineers and compliance, use AI across discovery/design/analysis, deliver PRDs, validate models, and ship production features.

The Technical Sales Engineer will drive customer solutions, manage technical sales support, lead engineering teams, and create project documentation and presentations.

Lead product and technical discovery for a new initiative, build prototypes and end-to-end MVPs, define metrics and decision processes, rightsize architecture for iteration and integrations, and engage customers for feedback while coordinating external PM/design/business stakeholders.