Sr. Platform AI Engineer

Title: Sr. Platform AI Engineer

Location: Houston and Dallas, TX (Hybrid) (Local only)

Duration: 12+ Months C2H

Visa Independent Candidates only (USC, GC, GC EAD, TN) who can work on W2 with our client. No C2C/1099 enquiry please

Video Interview

Role Overview

AI Foundry is key here.

What these AI Engineers are doing will be working on the AI Infrastructure platform and then will be assigned to Product service lines within client once they select which use cases they are going to move forward with in terms of ROI with implementing AI tools.

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.