SRGEN AI Engineer

We are seeking an experienced AI to design and lead the development of enterprise-scale AI platforms and cloud-native AI solutions. The ideal candidate will have deep expertise in Generative AI, Agentic AI, AI Governance, AWS cloud architecture, and enterprise platform engineering. This role requires hands-on experience with modern AI platforms such as Amazon Bedrock, Azure AI Foundry, OpenAI, Model Context Protocol (MCP), and AI agent frameworks.

The AI Architect will collaborate with engineering, platform, security, and business teams to build secure, scalable, and production-ready AI solutions for enterprise applications.

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