Principle Architect - Software/ AI Native Engineer

Role- Principle Architect - Software/ AI Native Engineer

Location - St. Louis MO (Onsite)

Note: Ph.D. in AI or a related discipline is highly preferred for this position

Preferred Qualification

• Experience building AI-native engineering organizations.
• Exposure to MCP (Model Context Protocol) architectures and agent ecosystems.
• Experience with AI Foundry, Bedrock, OpenAI, Anthropic, or similar AI platforms.
• Experience implementing enterprise developer platforms and internal engineering products.
• Strong understanding of AI governance and responsible AI frameworks. 

Technical Skills

• Deep understanding of: Software Engineering, Cloud Native Architecture, API Management, Microservices, DevOps & Platform Engineering
• Experience with: GitHub Copilot, Claude Code CLI, AI-assisted development platforms, LLM integrations, Agentic systems, AI orchestration frameworks
• Strong knowledge of AWS enterprise cloud platform

Key Expectations

• To focus on leveraging technologies such as GitHub Copilot, Claude Code CLI, Model Context Protocol (MCP), AI Agents, Developer Platforms, and Enterprise API Integration frameworks to fundamentally redefine how software is designed, built, tested, deployed, and operated.
• This role aligns with emerging AI-native development models that emphasize agentic workflows, AI-assisted coding, MCP-enabled integrations, and rapid prototyping.