Top Artificial Intelligence Jobs in Oklahoma City, OK

Develop and manage affiliate partnerships for an AI-powered dialer targeting SMBs: recruit affiliates and influencers, design commission structures and materials, onboard and support partners, monitor performance, optimize ROI, and align affiliate efforts with overall marketing strategy while ensuring compliance.

Design, build, and optimize scalable backend services, APIs, and data pipelines. Integrate with third-party billing/commerce systems, maintain serverless/event-driven architectures on AWS, ensure security and performance, implement automated tests and CI/CD, mentor engineers, and drive architectural decisions.

Lead security engineering for a federal health supply chain and logistics software product line. Own security architecture through authorization, establish engineering standards, assess and remediate complex findings, advise stakeholders on risk, and mentor engineers. The role requires federal security framework expertise, cloud security experience, cross-team remediation leadership, and eligibility for a Public Trust background investigation. Preferred experience includes federal health IT, ATO packages, Kubernetes security, incident response, HIPAA, and Agile or SAFe environments.

Designs integration and interface architecture for federal healthcare supply chain and logistics systems. Owns standards, patterns, architecture documentation, technology evaluation, and integration across applications, data stores, and connected devices. Partners with security, platform engineering, product teams, delivery teams, and federal technical stakeholders to create authorizable, scalable solutions. The role requires extensive systems architecture experience, enterprise architecture framework expertise, healthcare interoperability knowledge, and eligibility for a Public Trust background investigation.

Secure federal health IT supply-chain and logistics software by designing and validating application and infrastructure controls, assessing vulnerabilities, driving remediation, embedding security checks into CI/CD pipelines, monitoring security tools, supporting incident response, and translating federal security requirements into implementable technical designs.

Independent management consultants deploy the ComplexChaos AI stakeholder-alignment platform on client engagements, deliver strategic insights, change management, and stakeholder interviews, provide monthly structured feedback, test new features, document anonymized case studies, and optionally participate in co-marketing and referrals while retaining client ownership and billing clients directly.

Serve as a high-impact connector for an early-stage AI startup: introduce and nurture relationships with transformative organizations, craft partnership strategies, tell the company story persuasively, and spot emerging partners. Compensation is performance-based (revenue share and equity options).

Work directly with customers to design, deploy, and integrate end-to-end AI evaluation pipelines. Curate data, define annotation schemes, set up LLM-based judges, run initial experiments, produce actionable results, and translate technical systems into practical workflows for users.

Provides Tier 2 technical support for Optain’s robotic retinal camera and software platform. Troubleshoots hardware, software, image quality, connectivity, EHR integration, and clinical workflow issues; handles medical device complaints under regulated quality processes; creates support documentation and training; improves internal tools and workflows; analyzes issue trends; and coordinates product, engineering, quality, regulatory, and customer success initiatives.

Owns US customer and commercial operations for a healthcare hardware and AI company. Responsibilities include forecasting camera demand, managing manufacturing partners and inventory, launching repair and replacement services, executing and negotiating customer contracts, managing legacy obligations, creating SOPs and policies, and automating operational workflows with AI tooling. The role is remote, US-based, with occasional travel for customer engagements and team offsites.

Lead end-to-end client AI transformation engagements: discover and frame executive problems, design and build production-credible PoAs (data pipelines, integrations, LLM/RAG apps) within 2–3 weeks, present to executives, hand off to delivery, mentor junior FDEs, and convert PoAs into full engagements.

Build and manage sales pipeline through MSP events, conferences, roadshow dinners, field events, and high-volume outbound calls, emails, and LinkedIn outreach. Follow up with prospects, convert event conversations into qualified meetings, collaborate with Account Executives to improve messaging and handoffs, and maintain organized activity tracking. The role requires event confidence, strong communication, persistence, competitiveness, resourcefulness, and 1–2 years of BDR, SDR, or outbound sales experience, ideally in SaaS or cybersecurity.

Own technical sales outcomes alongside account executives across multiple deals. Lead demos, explain the platform clearly, translate cybersecurity capabilities into business value, build buy-in with technical and executive stakeholders, shape sales strategy with founders, prioritize opportunities, and represent the company at conferences. The role requires 2–5 years of sales engineering, solutions consulting, or technical deal ownership experience, ideally in B2B SaaS.

The Senior Fullstack Software Engineer will design, implement, and maintain features for Conveyor's SaaS platform, involving both backend and frontend work, while collaborating closely with team members and mentoring juniors.

The Staff AI Engineer will analyze AI quality, implement improvements, manage projects, collaborate with teams, and shape AI capabilities in a remote-first environment.

Design, build, and maintain AI-powered B2B SaaS products across frontend, backend, and AI. Own projects end-to-end, collaborate with product and design, ensure maintainability, mentor teammates, and inform roadmap and implementation decisions.

Build and maintain full-stack software using TypeScript, Go, and Python, including backend, frontend, and architectural development. Collaborate with developers, designers, product managers, and Department of Defense stakeholders to develop AI-powered solutions, take products from concept to launch, conduct code reviews, and support customers through travel when needed.