AI Platform Development
Define, implement, and standardize core components of the enterprise AI platform (AI Foundry or AWS Bedrock)
AI Foundry and Co-pilot suites is the best, but can be AWS Bedrock as well if we cannot find.
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.