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AI Engineer

Oraapps IncHouston, TX🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeOn Site
LocationHouston, TX, United States
AWSPythonGenerative AIAzure

Job description

Job Title – AI Engineer

Location – Houston, TX

Contract Duration – 12 + Months

Hybrid – 3 Days Onsite

Mode of Interview – Virtual rounds followed by In person

Locals Preferred

Note - This is a W-2 position, and we welcome candidates requiring H-1B transfer sponsorship to apply. No third-party vendors

Key Responsibilities

AI Platform Development:

  • Define, implement, and standardize core components of the enterprise AI platform (AI Foundry).
  • Establish best practices, frameworks, and reference architectures for AI/ML application development.

Application Engineering:

  • Build initial applications on the platform (e.g., chatbots, copilots, AI-enabled applications).
  • Prove out build capabilities that future dev teams will replicate and scale.

Integration & Security:

  • Work with Copilot Studio and Microsoft Copilot to manage access, identities, and security compliance.
  • Integrate with enterprise identity management and ensure secure system design.

Team & Collaboration:

  • Act as a senior IC while collaborating with engineering and product stakeholders.
  • Contribute to rebuilding a cohesive team and mentoring junior members.
  • Support cross-functional teams and partner with leadership on adoption strategy.

Required Skills & Experience

  • Strong expertise in Python development (core language for AI and data science).
  • Proven experience with AI/ML platform engineering or enterprise-scale data platforms.
  • Familiarity with Copilot Studio, Microsoft Copilot, or similar tools for enterprise AI integration.
  • Knowledge of identity and security integration in enterprise environments.
  • Background in large enterprise or consulting environments (not early-stage startup only).
  • Strong IC who can operate independently while collaborating with leadership.

Preferred Qualifications

  • Experience building enterprise AI platforms from the ground up.
  • Familiarity with cloud-based AI services (Azure OpenAI, AWS AI/ML, etc.).
  • Ability to present technical work clearly to both technical and non-technical stakeholders.
  • Prior experience in the oil & gas or energy sector is a plus.

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