Top Artificial Intelligence Jobs in Oklahoma City, OK

Build and maintain 3D pipeline integrations, plugins, exporters, and platform connections across DCC tools and SaaS destinations. Own integrations from scoping through deployment, documentation, release, and support. Ensure asset fidelity across formats, materials, textures, scene scaling, and color spaces while troubleshooting complex multi-system pipelines. Collaborate with internal engineering teams, external platform vendors, and customers to resolve integration constraints and extend the shared integration framework.

Embed with client teams to design, build, and ship production-grade AI systems (LLM-powered apps, RAG, agents). Own architecture, write maintainable tested code, debug production issues, transfer knowledge, and contribute learnings, docs, and internal tooling.

Lead go-to-market strategy and launches for an agentic AI business unit serving regulated life sciences buyers. Develop product positioning, messaging, narratives, sales enablement, campaigns, and customer-facing value propositions. Partner with Product, Sales, Demand Generation, and Revenue Operations, track pipeline and revenue impact, and use AI tools to streamline marketing execution. The role requires B2B SaaS or technology marketing experience, strong technical writing, product launch expertise, and cross-time-zone collaboration.

Build and execute integrated B2B demand-generation programs across ABM, events, paid media, content, digital, and sales-assisted channels. Own target-account strategy, manage paid media performance, create executive events, partner with Sales, and use HubSpot reporting to improve funnel conversion and pipeline contribution. The role requires experimentation, analytical rigor, and hands-on execution in an early-stage SaaS environment.

Designs, builds, and scales automation for secure hybrid infrastructure. Responsibilities include CI/CD, infrastructure as code, cloud architecture, configuration management, monitoring, logging, security, network operations, containerization, and self-healing systems. The role maintains mission-critical production environments, develops performance metrics, resolves root causes, and collaborates cross-functionally to improve reliability and operational efficiency.

Designs and deploys production-ready AI solutions for strategic enterprise customers using Genesys Cloud, agentic AI, conversational AI, automation, data, and integrations. Leads discovery, architecture, prototyping, deployment, optimization, governance, and value realization. Advises executive stakeholders, connects technical decisions to business KPIs, develops reference architectures, guides responsible AI practices, and builds customer capability across complex enterprise environments.

Generate qualified sales pipeline through personalized, high-volume outbound outreach to engineering leaders and technical buyers across global markets. Research target accounts, identify stakeholders and buying triggers, qualify technical and business needs, handle objections, and maintain accurate CRM data. Partner with Account Executives on account strategies and handoffs while continuously testing and improving messaging and prospecting workflows.

Lead developer relations as the company’s first DevRel hire. Create technical content, demos, examples, and projects; speak at conferences, meetups, and podcasts; build relationships with engineering teams and technical communities; gather product feedback; establish the company as a leading voice in AI-driven engineering; and grow its social following.

Own Chamelio’s global growth marketing and demand generation strategy, building a predictable enterprise pipeline engine. Lead paid, organic, account-based, event, lifecycle, content, and partner campaigns; improve funnel conversion and attribution; collaborate with sales, product, customers, and founders; and build the growth marketing team and external partner network.

Partners with sales, engineering, vendors, and customers to define warehouse robotics solutions. Leads technical discovery, site visits, system design, ROI modeling, proposals, test plans, and executive presentations. Supports solution scoping, WCS/WMS integrations, statements of work, MSA negotiations, implementation planning, and post-sale technical advising while feeding customer insights to Product.