Top Artificial Intelligence Jobs in Oklahoma City, OK

Lead a team handling complex US and UK insurance complaints, personally investigate escalated motor and property disputes, manage regulatory referrals, conduct root-cause analysis, maintain audit-ready complaint processes, and partner with Claims, Product, Engineering, QA, and Compliance to improve systems and outcomes.

Own the analytical strategy for a digital primary care program by defining KPIs, building dbt data models, maintaining the Snowflake/Fivetran/dbt stack, and delivering analytics, forecasting, revenue modeling, dashboards, and AI-assisted workflows. Translate patient, EHR, clinical, and operational data into actionable insights for product, care delivery, operations, leadership, health systems, and payers.

Own the full enterprise sales cycle for AI-enabled software solutions, from outbound prospecting and technical discovery through negotiation and close. Build relationships with CTOs, VP Engineering, and technical leaders; generate and manage pipeline; navigate procurement and security reviews; and collaborate with Solutions Architecture, Delivery, and Customer Success teams to support strong customer outcomes.

Lead product design projects for web and mobile platforms, creating and refining creative workflows, prototypes, and high-fidelity interfaces. Partner closely with product, engineering, research, and data teams to ship and iterate on products rapidly. Maintain visual and user experience consistency while contributing to product and process improvements. The role values strong visual design, usability knowledge, creative tool expertise, adaptability, and experience with AI-assisted prototyping.

Bring companies to Refer by identifying hiring organizations, pitching the AI career agent, and converting them into signed customers. This commission-only role offers complete schedule and location flexibility, with earnings based on each company acquired and no base salary or commission cap.

Own reliability for Kong’s Volcano internal developer platform by defining SLOs, incident practices, and observability. Design multi-region Kubernetes infrastructure, GitOps deployment automation, preview environments, managed PostgreSQL, Redis, and object storage. Lead reliability and compliance initiatives with engineering, security, and OCTO leadership while evaluating emerging edge, serverless, vector database, and AI infrastructure technologies.

Lead AMER partnerships for Sitetracker by building strategic alliances with SIs, consultancies, and ISVs. Drive partner-sourced and partner-influenced revenue through joint business plans, co-selling, account mapping, GTM enablement, and regional partner activation. The role manages strategic prioritization, governance, escalations, and ecosystem expansion across the US, Canada, and LATAM, with responsibility for achieving ambitious ARR targets and developing Salesforce ecosystem relationships.

Drives new business, renewals, expansions, and multi-year contract awards with federal civilian agencies, primarily the VA and HHS. Builds consultative stakeholder relationships, translates mission needs into technology solutions, manages complex acquisition cycles and opportunity pipelines, forecasts accurately, and meets bookings and renewal targets. Partners with internal teams on customer onboarding, training, usage plans, and growth strategies. The role is based around Washington, DC, with approximately 25% domestic travel.

Own end-to-end delivery of complex enterprise software implementations from kickoff through go-live and stabilization. Lead requirements discovery, project planning, cross-functional teams, client communications, scope and change control, risk mitigation, technical discussions, status reporting, and executive updates. Ensure projects meet timeline, budget, quality, and satisfaction goals while maintaining clear documentation and improving delivery methodology.

Design and maintain scalable services, APIs, distributed systems, and data pipelines for AI training data infrastructure. Own systems through design, implementation, testing, deployment, and monitoring. Lead architectural decisions, improve reliability and scalability, mentor engineers, and collaborate with AI/ML, product, and data operations teams. Contribute to CI/CD, containerization, DevOps, and cloud deployment practices.