Sr AI Developer

Key Responsibilities
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.