Top Artificial Intelligence Jobs in Oklahoma City, OK

As a Data Scientist, you'll build production-grade ML systems for HVAC efficiency, working on scaling models, database optimization, and real-time monitoring systems.

Lead and own cross-organizational technical programs for ML and robotics platform development, define roadmaps and milestones, remove blockers, align diverse engineering teams, and drive adoption of platform best practices to deliver scalable autonomy and infrastructure outcomes.

The role involves acquiring new manufacturing clients, building relationships with IT and data leaders, and identifying business challenges to propose data and AI solutions.

Evaluate personalized AI responses by designing multi-turn prompts using your own personal context, assessing grounding, integration, and helpfulness, stack-ranking side-by-side model outputs, writing clear rationales, verifying debug info, and maintaining data hygiene. Work full-time as a remote contractor with schedule overlap requirements.

Evaluate personalized AI responses for Gemini by designing multi-turn prompts using personal data, comparing side-by-side responses, assessing grounding, integration, and helpfulness, writing structured rationales, extracting debug info, and maintaining data hygiene.

MakeInfinite Labs is seeking developers and engineers who are eager to learn and grow. Applicants can submit resumes for future opportunities.

As a Senior Deployment Engineer, you'll manage the deployment lifecycle of Atolio's enterprise search platform, ensuring smooth, secure, and effective client deployments while collaborating across teams and building automation tools.

The Executive Assistant will manage calendars, coordinate meetings, handle travel arrangements, and assist with internal processes for the CEO and leadership team.

Manage strategic partnerships with major Texas school districts, driving customer adoption, retention, and mentoring team members while navigating complex educational dynamics.

The Events Marketing Coordinator will manage event logistics and marketing, ensuring seamless execution of in-person and virtual events while coordinating with various teams.

Design and build scalable backend components and indexing pipelines for semantic and hybrid retrieval, build retrieval orchestration and knowledge-graph services, improve retrieval quality via evaluation and observability, design APIs, and optimize latency, throughput, cost, reliability, and security for large-scale AI inference and retrieval workloads.