Top Artificial Intelligence Jobs in Oklahoma City, OK

Lead 0->1 B2B growth by designing scrappy, data-driven distribution plays and high-velocity experiments across acquisition, activation, and retention. Own the AEO narrative, run creative growth hacks (benchmarking tools, scraping, competitor analysis), operationalize founder-led thought leadership, build the growth tooling stack, and measure attribution to drive lead quality and conversions.

Build and maintain scalable backend systems and data pipelines for healthcare workflows. Collaborate cross-functionally to automate provider and patient workflows, prototype features, ship production-ready code, and ensure systems are maintainable and scalable.

Build and scale an agentic AI stack for healthcare revenue cycle: implement voice AI pipelines, LLM orchestration, integrations with EHRs/RCM systems, real-time analytics, dashboards, and production-grade full stack features working closely with founders and customers.

Design, develop, customize and maintain enterprise Sitecore solutions (versions 9/10, SXA, JSS, XM Cloud). Produce technical specs, implement components, test and debug in test and production, support teammates, perform demos to customers, and escalate/resolve issues.

Lead onboarding, adoption, and support for courier customers; troubleshoot workflows; analyze customer data for churn risks; surface product feedback; identify expansion opportunities; build scalable CS processes and documentation while collaborating with product, sales, and engineering.

Design and productionize ML models and agentic systems for intraday financial alpha generation. Build data pipelines, experiment frameworks, and portfolio optimization methods. Collaborate with quants and engineers to move models from research to live trading environments.

Design and build scalable backend systems, data pipelines, and cloud infrastructure. Own CI/CD, containerization, databases, and reliability; collaborate with tech leads to deliver secure, production-grade solutions for startups in a fully remote environment.

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.