Expert - Consultant AWS Kiro

Description

Nebius Academy (powered by TripleTen ) partners with forward-thinking companies to help technical teams adopt AI safely and build practical, job-ready skills that drive measurable business impact.

We design hands-on learning experiences that help engineers apply AI tools in real-world workflows, from agent design and orchestration to MCP integrations, AI security, and cost optimization across modern AI-powered development environments.

As part of our AI-Assisted Programming Advanced program, we're looking for an experienced AWS Kiro Expert / Consultant to adapt three existing technical workshops to AWS Kiro and deliver them to experienced engineering teams. This is an adaptation and facilitation role rather than content authoring: you'll bring existing labs into the Kiro environment, ensure they work effectively with the client's setup, and guide participants through practical exercises covering architecture reasoning agents, MCP server security, and AI agent cost optimization.
What you will do

- Adapt three existing hands-on workshops from our AI-Assisted Programming Advanced program to run effectively in AWS Kiro , preserving the original learning objectives and technical depth rather than creating new curriculum from scratch.

- Deliver practical 90–120 minute workshops for mid-to-senior engineering teams already working with Kiro and agentic AI tools.

- Guide participants through building and evaluating architecture reasoning agents, including agent decomposition, ADR and architecture-diagram inputs, Mermaid generation through MCP, and decisions around sub-agent use.

- Demonstrate and facilitate hands-on work with MCP server security , including prompt injection, tool poisoning, token passthrough, scope-based authorization, and simulated OAuth flows.

- Help engineers review, test, and patch MCP server code using Python MCP SDK, FastMCP, and uv , including live demonstrations of vulnerabilities and mitigations.

- Run the AI Agent Cost Lab , helping participants measure token usage, identify cost drivers, and optimize agent configuration and tool-layer architecture while preserving solution quality.

- Explain and compare practical agent-design approaches, including manual workflows, single-agent, multi-agent, and tool-assisted solutions, and help participants assess when additional orchestration complexity is justified.

- Review the client's existing Kiro configuration, MCP setup, and AI tooling before delivery and adapt each workshop to their environment lab by lab.

- Collaborate with the Nebius Academy team and subject-matter experts to validate and refine the adapted workshop materials before delivery.

Requirements
Must have

- Strong hands-on experience with AWS Kiro as a regular working tool , including real-world use of steering files, execution modes, MCP configuration, and agent workflows.

- Solid experience with agentic AI systems and the ability to design, evaluate, and compare single-agent, multi-agent, and tool-assisted approaches.

- Practical knowledge of MCP at both client and server level , including connecting external capabilities, reading and patching handler code, and working with MCP-based integrations.

- Hands-on experience with Python , including Python MCP SDK, FastMCP, and uv , sufficient to adapt and facilitate technical labs.

- Strong understanding of MCP security , including prompt injection, tool poisoning, token passthrough, scope-based authorization, and OAuth-based authorization flows.

- Experience with AI agent cost analysis and optimization , including token usage, agent configuration hygiene, and tool-layer optimization.

- Experience delivering technical workshops, facilitating engineering groups, or leading practical knowledge-sharing sessions for experienced technical audiences.

- Professional fluency in English.

Nice to have

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AWS Authorized Instructor status, ideally with authorization for Spec-Driven Development with Kiro (AMWSSDDK) .

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AWS Cer