Gen AI Lead

Delan Associates, Inc

$125K — $150K *
US-AnywhereRemote in Alpharetta, GA
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of experience in software development
  • Proficiency in TypeScript, Python, Java, React, and Angular
  • Strong understanding of enterprise SDLC workflows
  • Experience with CI/CD pipelines and API integrations
  • Ability to create and implement best practices and playbooks

Responsibilities

  • Build and integrate solutions into enterprise SDLC workflows
  • Monitor tool adoption, usage metrics, and performance
  • Troubleshoot issues and provide performance tuning
  • Establish best practices for GenAI adoption
  • Ensure compliance with governance and security standards
  • Identify and drive improvements in efficiency and scalability

Benefits

  • Hybrid work model with opportunities in Alpharetta, GA or Charlotte, NC
  • Hands-on role with significant ownership of engineering solutions
  • Focus on innovative GenAI technologies and enterprise challenges
  • Opportunity to influence best practices across the organization
  • Collaborative environment with emphasis on continuous optimization
Full Job Description
Gen AI Lead Alpharetta, GA or Charlotte, NC  Hybrid W2  Experience: 8+ yrs Skills: TypeScript, Python, Java, React, Angular Act as a hands-on full-stack engineer, building and integrating solutions into enterprise SDLC workflows (CI/CD pipelines, repositories, APIs). Monitor tool adoption, usage metrics, and performance, ensuring continuous optimization. Provide hands-on troubleshooting, performance tuning, and scaling support. Establish reusable playbooks and best practices for enterprise-wide GenAI adoption. Ensure a... Roles & Responsibilities: Act as a hands-on full-stack engineer, building and integrating solutions into enterprise SDLC workflows (CI/CD pipelines, repositories, APIs). Monitor tool adoption, usage metrics, and performance, ensuring continuous optimization. Provide hands-on troubleshooting, performance tuning, and scaling support. Establish reusable playbooks and best practices for enterprise-wide GenAI adoption. Ensure alignment with enterprise governance, security, and compliance frameworks. Identify adoption gaps and proactively drive improvements in efficiency and scalability.

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