Top Artificial Intelligence Jobs in Oklahoma City, OK

Lead the development of procurement strategies, drive vendor management, ensure cost savings, and establish procurement processes in a remote-first environment.

Manage day-to-day IT for a remote-first startup, including onboarding and offboarding, device and account administration, employee troubleshooting, IT documentation, vendor coordination, endpoint security, DNS, MDM, patching, and compliance support. The role also contributes to IT projects such as MDM migration, tooling rollouts, vendor evaluation, and security improvements. This is a part-time engagement of approximately 8–10 hours weekly with occasional onsite support preferred in the San Francisco Bay Area.

Own full enterprise sales cycles for Advisor360°'s WealthTech SaaS, building C-suite relationships, aligning platform solutions to client needs, collaborating with Sales Engineering/Product/Marketing, influencing pricing and deal structure, and consistently achieving quarterly and annual revenue targets.

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.

Drive ASI's growth in the energy sector by developing strategies, building relationships, identifying opportunities, and aligning customer needs with product capabilities.

Serve as primary relationship manager for airline clients and vendor couriers, overseeing day-to-day operations, SLAs, and escalations. Produce QBRs and performance reports, leverage data and AI to improve logistics and ETA accuracy, partner with Product and Engineering on feature requests, and optimize vendor courier networks to drive operational efficiency and customer satisfaction.

As a Senior Systems Engineer, you'll design high-performance data management systems, optimize for scalability, solve distributed challenges, and collaborate with the team to maintain code quality. Requires strong backend development and systems programming expertise, particularly in Rust.

Lead multiple hardware and software product implementations end-to-end: develop project plans, drive delivery and training, manage customer stakeholder relationships, collaborate cross-functionally, optimize implementation processes using lean tools, and transition sites to clinical success managers while meeting timeline, budget, and KPI targets.

Lead full sales cycle for Microsoft Azure enterprise accounts, generating pipeline via inbound/outbound and partner channels, collaborating with Microsoft and internal teams, forecasting in CRM, driving customer events, and advocating customer needs to shape product and GTM strategy in the FinOps space.

Owns the product lifecycle from ideation through end-of-life, translating product vision and customer feedback into prioritized epics, features, and user stories. Manages agile backlogs, partners with engineering and Scrum teams, supports product releases and business cases, monitors success metrics, and collaborates with product marketing and other Product Managers to align strategy and customer outcomes.