Top Artificial Intelligence Jobs in Oklahoma City, OK

Own and build Palazzo’s revenue engine by personally closing mid-market and enterprise B2B SaaS deals while creating scalable sales processes, CRM reporting, messaging, collateral, and forecasting systems. The role generates qualified pipeline, manages demos and negotiations, collaborates with marketing and product, and eventually hires and coaches a small sales team.

Conduct industry-focused AI research on autonomous agents and world models. Develop models involving large language models, active inference, and optimal policies, including architecture experimentation, fine-tuning, deep-learning agent development, and action optimization. Candidates will work on real-world enterprise problems while pursuing cutting-edge research during a fixed-term three- or six-month fellowship.

Provides Tier 2 technical support for Optain’s robotic retinal camera and software platform. Troubleshoots hardware, software, image quality, connectivity, EHR integration, and clinical workflow issues; handles medical device complaints under regulated quality processes; creates support documentation and training; improves internal tools and workflows; analyzes issue trends; and coordinates product, engineering, quality, regulatory, and customer success initiatives.

Build and manage sales pipeline through MSP events, conferences, roadshow dinners, field events, and high-volume outbound calls, emails, and LinkedIn outreach. Follow up with prospects, convert event conversations into qualified meetings, collaborate with Account Executives to improve messaging and handoffs, and maintain organized activity tracking. The role requires event confidence, strong communication, persistence, competitiveness, resourcefulness, and 1–2 years of BDR, SDR, or outbound sales experience, ideally in SaaS or cybersecurity.

Design, develop, and maintain core database features for VillageSQL Cloud, emphasizing performance, stability, scalability, security, and reliability. Build distributed systems using Go and Kubernetes, collaborate on technical vision and architecture, contribute to open-source projects, participate in code reviews, troubleshoot complex issues, and engage with the developer community. The role focuses on database-as-a-service infrastructure and cloud service evolution.

Work with the development team to build and debug web applications: write Python backend code, create responsive HTML/CSS/JavaScript frontends, integrate frontend and backend, participate in code reviews and testing, learn frameworks and document progress.

Build AI development workflows, agent orchestration systems, collaborative tooling, generative creative pipelines, SDKs, and infrastructure that help teams rapidly prototype and productionize educational experiences. The role spans infrastructure, product, and creative tooling, with responsibility for autonomous agents, asynchronous workflows, multimodal asset generation, reusable engineering primitives, and technical support for a small collaborative team.

Build and maintain Safari AI’s cloud infrastructure, including production services, system design, reliability, documentation, and security compliance. The role sets technical direction for the cloud stack, collaborates with engineering and operations teams, improves development processes, and delivers incremental features. Candidates should have 4–6 years of software engineering experience, public cloud expertise, and experience taking complex services from concept through production. Streaming processing and machine learning experience are advantageous.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

Design, build, and operate payment services for card processing, refunds, reconciliation, and processor integrations. Develop scalable Kotlin and Java Spring Boot APIs, optimize PostgreSQL schemas and SQL, and implement idempotency, retries, webhooks, audit trails, and reconciliation. Respond to payment incidents, conduct root cause analysis, collaborate cross-functionally, review architecture and code, and mentor engineers. The role requires strong distributed-systems, payments, PCI DSS, debugging, and production operations experience.