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# Senior AI Engineer / AI Platform Engineer-Onsite

- **Company:** Innovative Information Technologies, Inc
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Applications Architecture, Application Frameworks, Computing Platforms, User Authentication, Microsoft Azure, Identity and Access Management, Python (Programming Language), Machine Learning, OpenAI, Microsoft Copilot, Systems Integration, Enterprise Data Management, Chatbots, Large Language Models, IT Architecture, Generative AI, Microsoft Copilot Studio, AI Platforms, Azure AI
- **Published:** November 12, 2026
- **Apply:** https://www.dice.com/job-detail/967526ee-e82a-4cf1-8bc0-4cc4de89190b

## About the Role

* Strong hands-on Python development experience.
 * Significant professional experience in AI/ML engineering, AI platform engineering, or enterprise data/AI platforms.
 * Experience building and deploying production AI or GenAI applications, not solely proofs of concept.
 * Experience developing applications such as AI assistants, copilots, chatbots, or LLM-powered solutions.
 * Understanding of enterprise AI architecture, platform design, integrations, and reusable frameworks.
 * Experience with Microsoft Copilot Studio, Microsoft Copilot, Azure OpenAI, or comparable enterprise GenAI platforms.
 * Knowledge of enterprise identity, access management, authentication, authorization, and security integration.
 * Background working within large enterprise or consulting environments.
 * Proven ability to operate as a senior hands-on IC while working with technical and business leadership.
 * Ability to work onsite in Houston 3-5 days per week.

Preferred Qualifications

 * Experience building an enterprise AI platform or AI Foundry from the ground up.
 * Azure AI / Azure OpenAI experience.
 * Experience working with LLM-based application architectures and enterprise GenAI solutions.
 * Experience developing reusable AI frameworks, APIs, SDKs, or platform components.
 * Strong understanding of AI governance, security, and enterprise-scale deployment.
 * Experience supporting multiple development teams consuming a centralized AI platform.
 * Oil & gas, energy, or other large industrial enterprise experience is a plus.