Gen AI Lead

Delan Associates, Inc

• $125K — $150K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of experience in software engineering
  • Proficient in TypeScript, Python, Java, React, and Angular
  • Strong understanding of enterprise software development life cycles (SDLC)
  • Experience with CI/CD workflows and API integration
  • Knowledge of performance tuning and troubleshooting techniques

Responsibilities

  • Act as a hands-on full-stack engineer for enterprise SDLC
  • Monitor tool adoption and usage metrics for optimization
  • Provide troubleshooting and scaling support as needed
  • Establish reusable playbooks for GenAI adoption
  • Ensure compliance with governance and security frameworks
  • Identify gaps in tool adoption and recommend improvements

Benefits

  • Hybrid work environment: option to work from Alpharetta, GA or Charlotte, NC
  • Opportunity to influence enterprise-wide AI adoption
  • Access to continuous learning and professional development
  • Collaboration in a cutting-edge technology space
  • Inclusive team culture promoting innovation
Full Job Description
We're Hiring: 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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