Senior AI Engineer / AI Platform Engineer-Onsite
Innovative Information Technologies, Inc
Houston, TX, United States
3 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
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
+9 more
Systems Integration
Enterprise Data Management
Chatbots
Large Language Models
IT Architecture
Generative AI
Microsoft Copilot Studio
AI Platforms
Azure AI
Requirements
- 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.
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