Top Artificial Intelligence Jobs in Oklahoma City, OK

Build and lead Doxel’s People function, including talent systems, performance management, career pathing, manager development, HRIS ownership, employee relations, benefits, immigration support, and learning and development. Partner directly with the CEO and Finance to establish scalable, fair, AI-forward people processes for a growing international SaaS company.

Owns nationwide payroll operations, including multi-state tax compliance, wage and hour compliance, payroll controls, vendor governance, systems configuration, reporting, reconciliations, audits, and final payroll approval. Leads the payroll team, manages ADP and related integrations, oversees regulatory filings and notices, and drives automation, process improvement, and internal control effectiveness for a large hourly workforce.

Architects and owns highly available infrastructure and Kubernetes-based platforms supporting autonomous systems. Builds Golang backend services, platform tooling, observability systems, dashboards, alerts, and log aggregation. Partners with product teams to launch services, performs performance analysis, manages cloud upgrades, and participates in incident response and postmortems. Collaborates on cloud security risk assessments, intrusion detection, threat-feed systems, risk mitigation, and SaaS payment processes. Provides architectural leadership and mentorship across engineering teams.

Conduct U.S. federal tax research, summarize primary and secondary sources, evaluate source accuracy, and assess AI-generated tax analysis. Collaborate with tax lawyers, accountants, developers, and data scientists to improve AI-powered tax research tools. Contribute strategic product thinking, respond to client feedback, troubleshoot issues, and adapt research across tax law areas while leveraging emerging technologies.

Supports the payment lifecycle for expert contributors by managing payment support tickets, investigating discrepancies, resolving disputes, and communicating with contributors. Audits payment data and complex incentive structures, builds SQL queries, scripts, automations, and dashboards, and collaborates with Finance, Operations, Delivery, and Engineering. The role also supports payment compliance, data traceability, workflow improvements, and audit requirements.

Owns GTM operations from opportunity creation through renewal, including pipeline analytics, forecasting, Salesforce and Clari administration, AI-enabled workflow automation, data governance, customer handoffs, renewal processes, and partner operations. Builds trusted reporting, improves pipeline discipline and forecast accuracy, identifies deal and renewal risks, and partners with Sales, Customer Success, Finance, Partnerships, and executives on commercial decision-making.

Designs and scales high-performance backend web services and ETL pipelines supporting tens of thousands of transactions per second. Responsibilities include architecting fault-tolerant distributed systems, improving performance, developing monitoring and deployment strategies, collaborating across product and engineering teams, and supporting recruiting and onboarding. The role requires expertise in data-intensive systems, microservices, cloud architectures, and commercial SaaS products.

The role involves creating and publishing daily social media content targeting Korean students preparing for TOEFL, using performance metrics for improvement.

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.