Top Artificial Intelligence Jobs in Oklahoma City, OK

Lead technical execution for teams building endpoint agents, backend and inference services, cloud infrastructure, and customer-facing products. Translate engineering priorities into plans, milestones, and ownership; guide architecture and implementation; manage, mentor, and develop engineers; oversee planning, delivery, quality, hiring, and onboarding; and remove technical or resourcing blockers. The role requires hands-on technical judgment, distributed systems experience, and familiarity with agentic coding tools in a fast-moving startup environment.

Design and build scalable Python backend systems for a real-time AI voice-agent platform. Responsibilities include architecting microservices, APIs, distributed systems, databases, message queues, event-driven workflows, EHR integrations, observability, and HIPAA-compliant infrastructure. The engineer will own backend features end to end, ensure reliability and low latency at scale, and collaborate through technical discussions and code reviews.

Sources candidates for live briefs at early-stage AI startups, conducts one-to-one outreach, drives qualified signups through a referral link, and logs sourcing activity and responses. The sourcer works independently using personal tools, networks, and approved automation. Performance is measured by candidate reach and qualified signups per billed hour, with hourly pay and performance bonuses.

Build and optimize BizzyCar’s full-stack platform using Ruby on Rails APIs and Angular. Own features end to end, diagnose issues across UI, APIs, and data, guide architecture, mentor engineers, improve testing standards, and support multiple product domains including recalls, AI, and service systems.

Own strategic enterprise customer accounts, creating success plans, driving platform adoption and measurable value, managing risks, supporting renewals and expansion, and coordinating with Product, Support, Implementation, Marketing, and Sales. Lead executive business reviews, enablement sessions, recovery plans, customer advocacy, and account health reporting while influencing cross-functional teams without direct authority.

Conduct applied AI safety research using white-box methods such as activation explainers, steering, attribution, and model-internal interventions. Evaluate methods on realistic, large-scale models and agentic coding tasks, develop practical monitors and interventions, publish findings, propose research directions, and engage with researchers, frontier AI developers, governments, and the broader AI alignment community.

Lead technical partnership with Alphabet teams to drive adoption and integration of NVIDIA libraries, models, and frameworks. Coordinate cross-functional engineering and GTM teams, resolve integration challenges, influence product roadmaps, and deliver joint solutions that accelerate partner workloads and developer adoption.

Coach Leland customers pursuing private equity careers through interview preparation, resume reviews, recruiting guidance, and career navigation. Mentors host virtual sessions, set their own hours and rates, and provide practical insight into recruiting at leading private equity firms. The role requires substantial private equity experience and interviewing expertise while partnering with Leland to deliver a high-quality coaching experience.

Own the full-cycle SaaS sales process for mid-market, multi-location, and franchise brands, from prospecting and discovery through demonstrations, negotiation, and close. Meet sales quotas, maintain accurate HubSpot forecasts, generate self-sourced opportunities, and communicate marketing technology value and ROI to senior stakeholders. Collaborate with SDR, Customer Success, Product, and Marketing teams to support pipeline development, client handoff, and market feedback.

Own Neuroscale’s performance and growth marketing engine from the ground up. Manage paid acquisition, creative testing, landing pages, conversion optimization, attribution, funnel instrumentation, experimentation, audience discovery, and early product-led growth initiatives. Personally connect media spend to qualified pipeline, ARR, CAC, and payback. Partner with founders, Product, Design, Sales, and Revenue Operations while building scalable growth systems, automation, and documented playbooks.