AI Architect
Listed on 2026-07-31
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Software Development
AI Engineer (Applied/Software), Backend Developer, AI QA / Validation Engineer, AI Reliability/ Performance Engineer
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, Dev Ops & Platform Engineering
Experience with:
Git Hub Copilot, Claude Code CLI, AI-assisted development platforms, LLM integrations, Agentic systems, AI orchestration frameworks
Strong knowledge of AWS enterprise cloud platform
To focus on leveraging technologies such as Git Hub 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
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