Top Artificial Intelligence Jobs in Pittsburgh, PA

You will generate pipeline for the NORAM market by engaging decision-makers at fintechs and banks through cold calls and personalized outreach.

Fractional (≈20 hrs/week) role owning Sparq's corporate LinkedIn, driving community outreach and engagement, tracking performance, and writing SEO- and AI-optimized content (blogs, case studies, web copy). Develop GEO/AEO-ready content structures, partner on keyword research and briefs, leverage AI tools to streamline workflows, and recommend search/AI visibility strategies.

The Enterprise Account Executive will build relationships and drive sales in B2B environments, focusing on technical buyers. Responsibilities include navigating deal cycles, product demos, and sales reporting.

Lead development of a passwordless, zero-trust platform using C++. Own complex, multithreaded systems, build CI/CD pipelines, write unit tests, perform Linux administration, apply image-processing with OpenCV, and use Python for scripting and integration. Collaborate in a fast-paced environment and mentor engineers.

Design, build, and evaluate AI systems, focusing on natural language understanding and automation. Collaborate with teams to ensure production quality and performance metrics.

The Senior ML Engineer will automate component placement on PCBs, working on R&D and production using ML and optimization techniques.

Own and operate the martech stack and marketing data pipeline: standardize naming/taxonomies, ensure data hygiene, manage lead scoring/routing, administer CRM/MAP/CDP integrations, enforce compliance, build playbooks, and partner with Sales Ops and Data Engineering to keep marketing data trustworthy and audit-ready.

The Strategic Account Executive is responsible for acquiring new clients and expanding market presence by leveraging a data and AI platform, managing the sales cycle, and engaging with C-suite executives to provide tailored solutions.

As a Customer Support Developer, you'll provide technical support for database-related issues, develop integrations for customers, and collaborate across teams to improve product reliability and performance.

Design, build, and scale data integrations for healthcare systems, collaborating with teams and enhancing functionality while ensuring security and quality.