GenAI Test Automation Architect

Cognizant

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Charlotte, NC
Posted: 6 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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About Cognizant

Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.

Cognizant currently has 397 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 262 roles with salary data.

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At a glance

TL;DR · GenAI Test Automation Architect

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As a GenAI Test Automation Architect within the Quality Engineering team, you will drive the adoption of Generative AI across the Software Testing Lifecycle. You will develop and implement GenAI-powered solutions for automated test design, code generation, execution, and defect analysis. Your daily responsibilities include designing AI-assisted UI and API automation frameworks, leading prompt engineering, model optimization, and retrieval-augmented generation (RAG) frameworks. You will define Quality Engineering roadmaps and mentor engineers on Agentic AI, model deployment, and AI safety. Required technical skills include Python, Java, Selenium, Playwright, and API Automation. You must possess expertise in Azure OpenAI, AWS Bedrock, LangChain, LangGraph, GitHub Copilot, and Anthropic Claude to solve complex problems in test data generation and intelligent quality engineering.

Skills

Generative AI Agentic AI Prompt Engineering RAG Python Java Selenium Playwright API Automation Azure OpenAI AWS Bedrock LangChain LangGraph GitHub Copilot Anthropic Claude LLMs Transformer Architectures Model Fine-tuning Quality Engineering

What you'll do

Develop and implement GenAI-powered solutions for automated test design, code generation, execution, and defect analysis.
Design and build AI-assisted UI and API automation frameworks using modern quality engineering practices.
Lead the architecture and implementation of prompt engineering, model optimization, and RAG frameworks.
Define Quality Engineering and GenAI adoption roadmaps aligned with business objectives and governance standards.
Mentor engineers on GenAI, Agentic AI, automation, model deployment, and AI safety best practices.
Design GenAI solutions for test data generation, synthetic data creation, and intelligent test case generation.
Evaluate AI platforms, vendors, and build-versus-buy strategies for enterprise adoption.

What we're looking for

14+ years of experience in Quality Engineering, Test Architecture, and enterprise-scale test automation programs.
Hands-on expertise in Generative AI, Agentic AI, Prompt Engineering, RAG architectures, and AI-assisted testing solutions.
Strong programming skills in Python and Java with deep experience in Selenium, Playwright, API Automation, and scalable automation frameworks.
Experience with Azure OpenAI, AWS Bedrock, LangChain, LangGraph, GitHub Copilot, Anthropic Claude, and related AI ecosystems.
Proven ability to define QE strategy, automation roadmaps, governance frameworks, and lead global teams.
Experience designing GenAI solutions for test data generation, synthetic data creation, and intelligent test case generation (preferred).
Experience building AI-powered quality engineering platforms and productivity accelerators (preferred).
Knowledge of transformer architectures, LLMs, multimodal AI, model fine-tuning, and insurance domain experience (preferred).

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