AI Quality & Test Automation Lead — Hybrid (Remote)

Nice; Atlanta (GA); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

NiCE-FLEX hybrid model

Office in Sandy, Utah

Job summary

NiCE in Atlanta is seeking a Lead Software Engineer – AI Quality & Test Automation to own strategy and execution of an AI-accelerated test program. You’ll build platforms, frameworks, and CI quality gates that keep releases reliable at high velocity — using AI to scale test creation, maintenance, and triage across teams.

You will lead platform and automation leadership, drive AI-assisted test design, guardrails for AI output, and mentor engineers while collaborating with product and engineering

Qualifications

• Bachelor’s degree in Computer Science or related field, or equivalent practical experience.
• 10+ years of software engineering experience with emphasis on test automation and quality engineering practices.
• Strong programming skills in one or more languages: Python, TypeScript, Java, or C#.
• Experience building automation for APIs and distributed systems; UI automation experience is a plus.
• Experience with CI/CD, test reporting/observability, and maintaining reliable pipelines.
• Proven ability to apply AI/LLM tools to scale automation with guardrails so AI output is verified and safe to ship.
• Hands-on understanding of agentic AI patterns: tool use, multi-agent orchestration, planning loops, and human-in-the-loop design.
• Excellent debugging and root-cause analysis skills across code, data, and infrastructure.
• Strong communication skills; able to translate quality risks into clear tradeoffs and action plans.
• Demonstrated technical leadership across teams — driving standards, roadmap execution, and stakeholder alignment.

Responsibilities

• Lead platform & automation strategy and define scalable frameworks, standards, and governance.
• Own CI automation health: build and maintain test environments, pipelines, and tooling (including containers/CI).
• Lead cross‑team discussions and drive adoption of quality practices.
• Own AI‑Native test engineering and guardrails for verifiable AI output.
• Define prompt engineering standards and RAG architectures grounded in real codebase context.
• Build risk‑scoring models to adjust gate strictness based on changes and deployment context.
• Architect observability for automated pipelines to surface quality signals.
• Establish rollback and circuit‑breaker patterns for autonomous deployments.
• Lead risk‑based test strategy with product and engineering for high-velocity delivery.

Skills

Python

TypeScript

Java

C#

Test automation

CI/CD

Debugging

Distributed systems

LLM/AI tooling

Education

Bachelor’s degree in Computer Science or related field

Tools

pytest

JUnit

NUnit

Playwright

Cypress

Docker

Kubernetes

GitHub Actions

Jenkins

Azure DevOps

Job description

NiCE in Atlanta is seeking a Lead Software Engineer – AI Quality & Test Automation to own strategy and execution of an AI-accelerated test program. You’ll build platforms, frameworks, and CI quality gates that keep releases reliable at high velocity — using AI to scale test creation, maintenance, and triage across teams.

You will lead platform and automation leadership, drive AI-assisted test design, guardrails for AI output, and mentor engineers while collaborating with product and engineering