Top Artificial Intelligence Jobs in Oklahoma City, OK

Work on front-end and back-end web projects: create and redesign websites, build sitemaps and wireframes, collaborate with teams, and focus on UI/UX and performant back-end functionality.

Guide new clients through software implementation, including kickoff meetings, project planning, platform configuration, data coordination, training, launch support, and early adoption. Manage timelines, milestones, documentation, and risks while coordinating clients and internal teams. Conduct post-launch health reviews, identify adoption barriers, create scalable onboarding resources, and improve implementation processes. Support client events, feedback collection, renewals, and expansion through successful implementation outcomes.

Founding full‑stack engineer responsible for 0-to-1 product definition, building frontend and backend systems, wrangling agentic AI and ML infrastructure, and leading end-to-end implementation to deliver rapid, high-quality iterations to customers.

Join Welo Data’s Hungarian contributor network for flexible, remote AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create and test prompts for large language models; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Own strategic account development and enterprise sales across mining and industrial markets. Build pipelines, map complex organizations, develop executive relationships, lead long-cycle multi-stakeholder deals, represent Realm at conferences and site visits, and provide customer insights to influence product, pricing, and positioning. The role requires selling bespoke technology solutions to large industrial enterprises and supporting pilots that can expand into multi-site, multi-year agreements.

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.