Top Artificial Intelligence Jobs in Oklahoma City, OK

Build and maintain finance data pipelines, warehouse models, dashboards, and automations for unit economics, technology budgeting, burn, runway, margins, deal desk, and sales compensation. Develop internal tools and LLM-based agents that help non-engineers access trusted financial data. Partner with finance, sales, and engineering leadership to reconcile discrepancies and improve revenue, cost, billing, payroll, cloud-spend, and accounting workflows.

Lead and scale marketing across consultancy and product studio: define positioning, run digital/social/content campaigns, implement lead-gen systems, manage internal and external teams, integrate AI and martech, track KPIs and ROI, and evolve brand voice and messaging.

Conduct research on frontier AI systems and develop datasets, experiments, prototypes, tooling, evaluation frameworks, and reinforcement learning environments. Investigate synthetic and agentic data generation, post-training, model understanding, benchmarks, and evaluation. Collaborate with research, engineering, product, and operations teams to translate findings into scalable AI applications, while contributing to technical publications, open-source work, mentorship, and the broader AI research community.

Design and build production AI applications for enterprise clients, including data processing, retrieval, APIs, tools, integrations, evaluations, and deployment. Partner with client experts to improve system performance and reliability, support cloud, CI/CD, security, and operational processes, and communicate technical tradeoffs clearly. The role also involves automating internal workflows and helping clients adopt new AI-enabled ways of working.

Leads revenue marketing strategy and execution across ABM, paid media, SEO/AEO, website conversion, and product-led growth. Owns pipeline forecasting, CAC and funnel efficiency, qualified pipeline generation, attribution, and budget allocation across sales-assisted and self-serve channels. Partners with Sales, RevOps, Product, and Customer Success while building a high-performing demand generation team and embedding AI into reporting and campaign workflows.

Leads the technical vision and engineering team for a high-throughput data and event platform. Oversees scalable distributed data systems, pipelines, databases, cloud infrastructure, data governance, and system integration. Partners with AI, ML, analytics, and platform teams to expand self-service capabilities, manages technical debt and architecture decisions, prioritizes projects, and recruits and mentors engineers.

Own and evolve Jira, Aha!, and related product and engineering platforms. Configure workflows, permissions, schemas, dashboards, automations, integrations, and reporting while improving governance, data quality, reliability, and adoption. Partner with Product, Engineering, TPM, Finance, and IT teams to translate business needs into scalable systems. Lead implementations, migrations, platform lifecycle management, troubleshooting, documentation, training, and tooling evaluations.

Design, build, deploy, monitor, and optimize production machine learning and LLM systems, including RAG pipelines, agentic workflows, fine-tuned models, and embeddings. The role owns technical delivery from architecture through iteration, collaborates with enterprise clients, mentors junior ML engineers, conducts code reviews, and helps establish internal engineering standards and tooling.

Lead the architecture, development, and deployment of scalable APIs and backend systems for Afresh’s AI-powered grocery ordering platform. Partner with product, account management, design, and engineering teams to deliver integrated solutions used across thousands of stores. Drive projects from conception through launch, make high-impact architectural decisions, understand complex business dependencies, and mentor junior engineers.

Lead a team handling complex US and UK insurance complaints, personally investigate escalated motor and property disputes, manage regulatory referrals, conduct root-cause analysis, maintain audit-ready complaint processes, and partner with Claims, Product, Engineering, QA, and Compliance to improve systems and outcomes.