Top Artificial Intelligence Jobs in Oklahoma City, OK

The Lead Software Engineer will define and implement the technical vision for backend solutions, oversee project execution, and mentor team members while focusing on scalability and high availability in a data-intensive SaaS platform.

As QA Engineering Manager, you will define QA strategies, manage a QA team, and integrate testing into product release cycles while ensuring compliance and quality standards are met.

Embed in Research to drive end-to-end delivery of STT/TTS model versions and features. Map dependencies and risks, run cross-functional programs, establish lightweight processes, and communicate status across Research, Product, DataOps, and Engineering to ensure timely launches.

The Revenue Operations Analyst supports quote-to-cash processes, manages Salesforce administration, reconciles data, and identifies operational efficiencies at Deepgram.

The Director of Analytics leads Upstart's Credit Analytics team, driving credit forecasting, valuation, and risk capital. Responsibilities include setting vision, developing leaders, and enhancing analytical frameworks in collaboration with tech and finance teams.

Lead the Application Security Practice, overseeing team performance and business growth while delivering high-quality security consulting services and fostering innovation through AI integration and research contributions.

As a Cloud Security Engineer, you'll secure cloud infrastructure, manage AWS and Kubernetes security solutions, conduct assessments, and mentor engineers.

Lead and mentor a team of Customer Success Managers to drive customer satisfaction, retention, and product adoption, while managing strategic accounts and processes.

As an Associate Technical Onboarding Manager, you will manage the onboarding process for new customers, gather technical requirements, and ensure quality customer experience through project management.

The Lead Process Engineer optimizes operating processes for the AXIS platform in the BFSI sector, engaging with various teams to ensure scalable and compliant workflows. Responsibilities include end-to-end documentation, automation-first process engineering, and enhancing client implementations while integrating risk and compliance controls.

The Senior Infrastructure Engineer will design, build, and operate crucial cloud infrastructure and developer tools, focusing on observability, reliability, and performance in a high-velocity software environment.

Lead the talent acquisition function, evolving it into a data-driven process while enhancing candidate experiences and employer branding during hyper-growth.