AI Agent Engineering Lead (W2 Position)

Atlanta, GA, US • Posted 21 hours ago • Updated 21 hours ago
Contract W2
Travel Required
On-site
$60/hr
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • Artificial Intelligence
  • Generative Artificial Intelligence (AI)
  • AWS
  • Microsoft Certified Professional
  • SDLC

Summary

Please find the requirements below and let me know if you are interested.

 

Client                              : TCS

Title                                : AI Agent Engineering Lead / SDLC Transformation Consultant

Location                       : Atlanta, GA

Rate                                : $60/hr on W2

Employment Type    ; W2 Position

 

We are seeking an experienced AI Agent Engineering Lead to drive SDLC transformation using agentic AI workflows and AWS GenAI technologies. The role focuses on enabling AI-assisted software delivery, defining AI agent governance, integrating external tooling through MCP servers, and helping engineering teams adopt scalable multi-agent development practices.

 

Key Responsibilities

·         Enable AI-driven SDLC workflows using Kiro, including requirement validation and automated JIRA story generation.

·         Create and manage AI agent “rules files” covering coding standards, architecture patterns, and engineering constraints.

·         Integrate external tools, APIs, and enterprise systems using Model Context Protocol (MCP) servers.

·         Guide teams in adopting agentic workflows, including multi-agent collaboration and persistent learning systems.

·         Produce technical documentation, system designs, and Mermaid-based architecture diagrams.

·         Support developer productivity through CI/CD integration, automated testing, and AI-enhanced development environments.

 

Required Skills

·         Hands-on experience with AWS GenAI services such as Amazon Web Services Amazon Bedrock and Amazon Q.

·         Strong expertise in software architecture, system design, and technical documentation.

·         Experience with CI/CD pipelines, Code OSS/VS Code environments, and developer tooling.

·         Ability to translate complex business requirements into structured AI-agent implementation strategies.

·         Strong leadership and stakeholder communication skills.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10117479
  • Position Id: 8968475
  • Posted 21 hours ago
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