Note: The job is a remote job and is open to candidates in USA. Nebius Academy, powered by TripleTen, partners with companies to help technical teams adopt AI safely and build practical engineering skills. The AWS Kiro Expert / Consultant will adapt existing workshops to AWS Kiro, review client environments, and deliver hands-on sessions covering architecture reasoning agents, MCP security, agent design, and AI agent cost optimization.
Responsibilities
- 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
Skills
- 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
- **AWS Authorized Instructor** status, ideally with authorization for **Spec-Driven Development with Kiro (AMWSSDDK)**
- **AWS Certified Solutions Architect – Associate** or a higher-level AWS certification
- Experience working with **Amazon Bedrock**
- Experience with **Docker** and containerized MCP servers
- Experience adapting existing technical curriculum, labs, or developer documentation to a different toolchain or client environment
Benefits
- The opportunity to share your expertise while maintaining your primary job: Adapt and deliver hands-on AWS Kiro workshops without leaving your current role.
- Remote cooperation with a schedule convenient for both you and the team: We can work with experts across different locations and time zones.
- Work with experienced engineering audiences: Facilitate practical sessions for mid-to-senior engineers already working with Kiro, MCP, and agentic AI systems.
- A focused adaptation project rather than full content authoring: Work with existing workshop materials and labs, adapting them to AWS Kiro and the client's technical environment.
- Hands-on work with advanced AI engineering topics: Contribute to workshops covering architecture reasoning agents, MCP security, agent orchestration, and AI agent cost optimization.
- Potential for continued collaboration: Strong experts may be invited to contribute to future AI engineering workshops, courses, and related technical projects beyond the initial engagement.
Company Overview