Top Artificial Intelligence Jobs in Oklahoma City, OK

The Systems Engineer will architect and implement solutions for queueing systems and state stores, improve throughput and latency, and collaborate with teams to enhance the user experience.

Define and execute the product roadmap for AI-driven on-chain monitoring tools to detect blockchain threats. Collaborate with engineering, research, and stakeholders, analyze market and customer feedback, prioritize features, ensure timely delivery, and maintain transparent communication across teams.

Perform advanced offensive security work: conduct complex penetration tests, teach and integrate offensive tradecraft into the AI platform, harden product and company defenses, and collaborate with core engineers to build and ship capabilities that automate red-team techniques.

Own and build the US sales pipeline for Terrific: identify and prospect brands, retailers, agencies and partners; run discovery; develop proposals, pilots, and negotiations; close new recurring revenue; collaborate with Customer Success, Product, and Marketing to scale opportunities and improve GTM strategy.

Lead global sales and RevOps to drive sustainable revenue growth for a music-focused B2B SaaS. Set GTM strategy, own revenue targets, coach and scale the sales organization, improve forecasting and CRM hygiene, close strategic enterprise deals, and align Sales, Marketing, Customer Success and Product to increase conversion, expansion, and retention.

Build and scale an agentic AI stack for healthcare revenue cycle: implement voice AI pipelines, LLM orchestration, integrations with EHRs/RCM systems, real-time analytics, dashboards, and production-grade full stack features working closely with founders and customers.

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Build and maintain the AI-powered learning platform across a TypeScript/React frontend and Python/FastAPI backend. Integrate LLMs for classification, extraction, personalization, and conversation practice. Design scalable APIs, develop real-time interactive features, apply AI-assisted development workflows, write well-tested code, and collaborate with product, design, and education teams to optimize learning experiences and A/B tests.

Lead technical engagements to drive adoption of identity and access solutions: advise customers, architect IGA/IAM/CIEM/PAM implementations, run workshops and demos, design cloud integrations (AWS/GCP/Azure), build and troubleshoot integrations using APIs/SDKs and Terraform, and evangelize identity security best practices.

The Data Scientist will develop data labeling strategies, optimize datasets for LLMs, analyze data quality, and collaborate with engineering on data processing pipelines.