Top Artificial Intelligence Jobs in Oklahoma City, OK

Own the full sales cycle for an early-stage AI recruiting platform: prospect, demo, negotiate, close deals, build pipeline, refine outbound strategy with the CEO, represent the company at events, and coordinate handoffs with Customer Success to ensure long-term account health.

Build and optimize high-throughput de-identification pipelines for large clinical datasets, execute QA, run and tune pipelines in health system cloud environments, reduce errors and costs, and collaborate with privacy and clinical informatics stakeholders.

Lead end-to-end full-stack development across React frontends and compiled backends, influence architecture and data modeling, integrate third-party dealership APIs, use AI-assisted coding tools daily, set engineering standards, ship production features to live dealership users, and mentor junior engineers.

Join as a full-stack software engineer to design, develop, and maintain web applications and services. Collaborate cross-functionally, write clean code, perform code reviews, debug issues, and stay current with industry trends.

Invitation to join Fexa's Talent Network to receive company updates, new role notifications, and insights into culture and events. Stay connected so recruiters can reach out about future remote-first opportunities.

Lead day-to-day delivery of high-quality social video and photo content for brand clients. Edit video, oversee production (thumbnails, quality control), manage freelancers, collaborate with clients on sponsored content, and pitch/secure brand partnerships to drive growth.

Owner of all customer-facing copy: high-converting email sequences, landing pages, ad copy, VSLs, upsells/downsells. Must turn proof and testimonials into revenue-driving funnels, move fast, and use AI (Poppy) daily. Proven revenue results required.

The Talent Acquisition Consultant will screen candidates, manage the hiring process, coordinate interviews across time zones, and engage passive candidates while leveraging AI tools in recruitment.

As Director of AI/ML, lead the ML organization, set technical vision, mentor a high-performing team, and contribute to model development and production deployment.

The Machine Learning Engineer will design, build, and maintain scalable ML systems, optimize ML pipelines, implement MLOps, and collaborate with teams to deploy models into real-time products.