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.
