AI Engineer

Job Title: AI Engineer

Hybrid: Houston, TX

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.