Top Artificial Intelligence Jobs in Oklahoma City, OK

Leads the development and ownership of Cedar’s production machine learning personalization engine. Responsibilities include ML modeling, MLOps, feature pipelines, deployment, inference, monitoring, feedback-loop optimization, compliance and fairness guardrails, technical leadership, code reviews, cross-functional collaboration, and management of ML engineers. The role requires hands-on contributions to scalable ML systems serving millions of healthcare transactions while guiding roadmap execution and model improvement.

Build and lead GC AI’s revenue operations function from the ground up. Develop go-to-market processes, hire and manage a high-performing team, select and implement operational technology, align Sales, Marketing, Product, Customer Success, and Partnerships, and optimize pipeline, forecasting, retention, deal velocity, win rates, and revenue performance through data-driven KPIs.

Leads and scales the account management function for enterprise health plan customers. Manages Account Managers, owns team revenue and retention targets, develops account processes and playbooks, and oversees strategic accounts. Builds executive relationships, leads QBRs, manages escalations, identifies expansion opportunities, and partners with Sales, Product, Engineering, and Leadership to improve customer outcomes, retention, and revenue growth.

Designs and validates enterprise solutions for strategic customers using HERE APIs, SDKs, platform services, and mapping technologies. Leads technical discovery, architecture design, demonstrations, workshops, evaluations, and proof-of-concept engagements. Partners with Sales, Product, Engineering, Services, and Customer Success teams to address customer requirements, risks, integrations, and implementation readiness. Communicates technical recommendations and tradeoffs to business and technical stakeholders while supporting account planning, competitive evaluations, expansion opportunities, and successful presales-to-implementation handoffs.

Own and modernize Domino's Tempest scale-testing platform; build repeatable automated validation, sizing guidance, and cloud-scale test automation; partner with platform teams to enable multi-cloud scale testing and improve test reliability and reporting.

Recruit clinical and operations candidates in a high-volume, fully remote environment. Responsibilities include partnering with hiring managers, managing requisitions, sourcing, screening, interviewing, pipeline development, background checks, offer negotiation, onboarding coordination, ATS maintenance, compliance monitoring, and using recruiting metrics to improve efficiency and candidate quality.

Develops and commercializes partner-built solutions across the Superhuman Suite. Responsibilities include shaping joint value propositions, creating pitch and demo assets, enabling alliance managers and partners, packaging repeatable solutions, coordinating launches, supporting partner growth, and tracking post-launch performance. The role works across Alliance Programs, Partner Marketing, Technical Alliances, Product, and solution architecture, with approximately 25% international travel.

Supports aerospace proposals, production, field, and repair projects by assisting with cost, schedule, risk, forecasting, budgeting, reporting, stakeholder communication, and cross-functional coordination. The intern collaborates with product line leaders and teams across design, analysis, requirements, hardware, testing, supply chain, manufacturing, and suppliers while contributing to process improvements and successful project delivery.

Serve as a senior technical partner to Enterprise customers by designing, building, troubleshooting, and improving reliable automations. Lead architecture reviews, technical account planning, executive conversations, escalations, and cross-functional initiatives. Partner with Customer Success to improve adoption, retention, and growth while representing customer needs to Product and Engineering. Advise customers on responsible AI implementation, including AI-assisted workflows, agentic systems, evaluation, governance, security, and oversight.

Leads and scales Advisory, Delivery, and Support workstreams across a distributed technical services organization. Establishes shared operating standards, capacity planning, quality controls, SLAs, escalation processes, reporting, and governance. Oversees technical delivery outcomes, resource allocation, architecture quality, support coverage, hiring plans, onboarding, and partner collaboration. Partners with Enablement, Sales, Project Managers, and SI/GSI organizations to improve delivery predictability, utilization, client satisfaction, and technical excellence.