Top Artificial Intelligence Jobs in Oklahoma City, OK

Full-cycle enterprise seller responsible for closing $250K–$1M+ deals in regulated markets. Run consultative discovery, solution scoping, executive negotiations, ROI-driven business cases, CRM discipline (HubSpot), playbook development, and represent the company at industry events.

Conduct research on frontier AI systems, including synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarking, and evaluation. Design rigorous experiments, datasets, prototypes, tooling, and research workflows; train and assess models; analyze results; and translate findings into scalable AI products. Collaborate across research, engineering, product, and operations teams, communicate technical conclusions, contribute to publications or open-source work, and mentor engineers and researchers.

Build and operate WISEcode’s food data lakehouse using Python, SQL, DuckLake, S3 Parquet, Postgres, and Prefect. Responsibilities include source ingestion, entity resolution, pipeline consolidation, data enrichment, downstream connectors, data quality reporting, configuration discipline, and architectural documentation. The role requires designing and shipping production lakehouse or warehouse systems, managing scalable API-driven pipelines, and collaborating closely with engineers in a fully remote environment.

Drives revenue growth across strategic Factory Automation accounts by developing account strategies, managing pipelines and forecasts, building relationships with engineering and purchasing stakeholders, providing consultative product support, presenting solutions, identifying customer opportunities, and sharing market insights. Collaborates with product, engineering, and sales leadership to increase product adoption, solve application challenges, expand market share, and achieve account performance targets.

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.

Own product development coordination, roadmap execution, delivery timelines, client discovery, demos, and stakeholder management. Partner with engineering, sales, operations, and client success teams to translate customer needs into product requirements and solutioning. Coordinate messaging across product lines, support deal lifecycles, and create customer-facing presentations, proposals, and solution materials using AI tools.

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.

Develop and improve AI-powered legal workflows for contract review, drafting, and negotiation. Collaborate with product, engineering, service delivery, and client teams; create training and enablement materials; monitor legal AI and contract automation markets; test prompts and prototypes; evaluate workflow quality and efficiency; and advise stakeholders on practical AI applications in legal services.

Own the analytical function for a core business area such as growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; generate actionable insights; and influence leadership decisions. The role requires independently structuring data, solving ambiguous problems, communicating findings clearly, and driving recommendations through execution.