Top Artificial Intelligence Jobs in Oklahoma City, OK

The RVP, Strategic Accounts will lead the Strategic Accounts business, driving new customer growth and designing a high-performing sales organization in the AI-powered customer experience sector.

Design and develop robust, scalable software for a cloud-based AI platform. Collaborate with teams, improve platform functionality, and evaluate new technologies.

Design, develop, and maintain software solutions. Collaborate with teams, conduct code reviews, and mentor junior developers to ensure software quality.

Lead full sales lifecycle for enterprise logistics customers, build pipeline, target C‑suite stakeholders, close six‑figure SaaS deals, partner with solutions, product and marketing teams, and exceed quarterly quotas. Focus on US East Coast market and drive commercial strategy and onboarding.

Unstructured is seeking professionals for future roles focused on AI/ML projects. Join their talent pool to be considered for impactful positions in unstructured data processing.

The role involves leading sales strategies and generating business with fintech organizations, focusing on closing significant deals and managing sales pipelines.

Drive enterprise revenue by managing the full sales lifecycle, including prospecting, discovery, product demonstrations, proposals, negotiations, closing, forecasting, and customer relationship development. Build trusted relationships with stakeholders and executive decision-makers, consistently achieve quota, represent customer needs in product development, and collaborate with solution consultants, product, engineering, and support teams. The role requires enterprise B2B SaaS closing experience and travel availability.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

The Business Development Representative will generate pipeline, qualify leads, close small deals, and collaborate with AEs in a high-caliber selling environment.

Design and build scalable backend components and indexing pipelines for semantic and hybrid retrieval, build retrieval orchestration and knowledge-graph services, improve retrieval quality via evaluation and observability, design APIs, and optimize latency, throughput, cost, reliability, and security for large-scale AI inference and retrieval workloads.