Top Artificial Intelligence Jobs in Oklahoma City, OK

Develops and productionizes deep learning and machine learning perception models for robotics and recycling sortation. Responsibilities include experimenting with neural network architectures, designing computer vision solutions, conducting statistical experiments, deploying successful models, collaborating with data, modeling, and cloud infrastructure teams, and improving ML infrastructure.

Pre-sales SAP technical consultant supporting late-stage sales: advise on SAP (S/4HANA, ECC) integrations, design/validate integration workflows, map financial data to SAP structures, demonstrate integration requirements, deliver POCs, and relay product gaps to engineering.

Design and deploy machine learning models for financial document processing, optimize large language models, collaborate with cross-functional teams, and guide junior peers in a fast-paced environment.

This role involves owning the security architecture for AI platforms on GCP, designing guardrails, and integrating security into CI/CD pipelines. Candidates should have extensive experience in cloud security, specifically with GCP services, Kubernetes security, and AI/ML security practices.

Lead complex modeling projects combining deep learning, LLMs, and traditional techniques. Prototype, deploy, and monitor production models, mentor data scientists, collaborate with engineering/product, and translate results into business impact for insurance customers.

The Regional Account Executive will manage the full sales cycle, from prospecting to closing deals, while promoting mabl's Test Automation Platform to new accounts. Responsibilities include achieving sales quotas, educating customers on products, and documenting activities in Salesforce.

Lead complex clinical assay development projects from inception to commercialization, managing scope, budget, timelines, and cross-functional teams while ensuring compliance with industry regulations and fostering team development.

Drive iManage’s strategic Microsoft partnership by executing global co-sell and joint go-to-market programs. Build Microsoft field relationships, deliver enablement, expand marketplace participation, develop AI and Copilot initiatives, and track pipeline, revenue, and partner-sourced leads. Support business reviews, standardize engagement processes, and improve partnership efficiency and scalability across regions.

The SI Business Analyst will drive integration between business needs and technical delivery, focusing on insurance and healthcare systems. Responsibilities include capturing requirements, performing gap analysis, designing workflows, and leading cross-functional teams to optimize system performance and support digital transformation initiatives.

Lead commercial growth for 3-5 Tier 1 retail accounts post-sale: own expansion, renewals, and ARR through account planning, upsell, negotiation, executive engagement, and cross-functional collaboration. Use data-driven strategies, Salesforce and Trumpet for pipeline and forecasting, and partner with Customer Success, Product, and Marketing to realize customer value and scale long-term enterprise relationships.