Gen AI Lead

Delan Associates, Inc; Alpharetta (GA); Hybrid; USD 150.000 - 210.000; Vollzeit

Zusammenfassung

Delan Associates, Inc. seeks a Gen AI Lead to guide enterprise AI initiatives and drive scalable, state-of-the-art software solutions.

You will be a hands-on full-stack engineer, integrating GenAI into SDLC workflows, CI/CD pipelines, repositories, and APIs while monitoring adoption, usage metrics and performance.

This hybrid role supports Alpharetta, GA or Charlotte, NC, with W2 employment and a strategic focus on governance, security, and enterprise-wide AI excellence.

Qualifikationen

• Experience leading GenAI initiatives in enterprise environments.
• Hands-on full-stack engineering experience.
• Ability to align AI solutions with enterprise SDLC governance.

Aufgaben

• 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 drive improvements in efficiency and scalability.

Tools

TypeScript

Python

Java

React

Angular

Jobbeschreibung

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.