Software testing Jobs in Dallas, TX

Job Description

Job Description

Benefits :

• Competitive salary
• Opportunity for advancement

AI Tools & Testing Architect

Dallas, TX Onsite

Long-Term Duraiton

Role Overview

We are seeking a highly experienced AI Tools & Testing Architect with deep, hands-on expertise in designing, implementing, and scaling AI-driven solutions across software engineeringparticularly in testing, quality engineering, and SDLC optimization.

This role combines technical architecture, strategic advisory, and hands-on enablement, helping engineering and QA teams effectively adopt AI to improve productivity, quality, and time-to-market.

You will act as a technical architect and AI evangelist, guiding organizations in selecting the right AI tools, defining adoption frameworks, and embedding AI responsibly into engineering workflows.

Key Responsibilities

AI Architecture & Implementation

Architect, design, and implement AI-driven solutions across :

Software testing and QA

Quality engineering

Broader software engineering workflows

Design scalable, secure, and reusable AI reference architectures.

AI for Testing & Quality Engineering

Define and lead AI adoption frameworks for testing use cases, including :

Automated test case generation and optimization

Test data generation, synthesis, and masking

Defect prediction, anomaly detection, and root-cause analysis

Intelligent test execution, prioritization, and coverage optimization

Tooling & Platform Strategy

Evaluate, select, and recommend AI tools, platforms, and vendors, including :

LLMs, agents, copilots

AI-powered test automation tools

Internal and external AI platforms

Optimize AI tool integration for performance, cost, and reliability.

Engineering Enablement & Collaboration

Collaborate with Engineering, QA, DevOps, Security, and Leadership teams to embed AI across the SDLC.

Enable teams with : Best practices

Design patterns

Reference implementations

Conduct workshops, demos, and enablement sessions.

Governance & Responsible AI

Establish AI governance, security, and responsible AI guidelines

Ensure compliance with enterprise security, data privacy, and ethical AI standards.

Mentorship & Technical Leadership

Act as a technical mentor and advisor

Guide teams and stakeholders (technical and non-technical) on AI adoption strategies.

Required Skills & Experience

Strong hands-on experience with AI / ML and Generative AI, including :

Large Language Models (LLMs)

Prompt engineering

AI agents

Embeddings and vector search

Retrieval-Augmented Generation (RAG)

Proven experience designing scalable AI architectures

Deep understanding of :

Software testing methodologies

QA processes

Test automation frameworks

Experience integrating AI into :

CI / CD pipelines

DevOps and MLOps workflows

Familiarity with cloud-based AI platforms and APIs :

AWS

Azure

GCP

Strong ability to translate business problems into AI-driven technical solutions

Excellent communication and stakeholder management skills

Nice to Have

Experience with AI governance, security, and compliance

Prior role as : AI Architect

Solution Architect

Principal Engineer

Experience implementing AI in enterprise-scale environments

Certifications in : Cloud platforms

AI / ML

Architecture frameworks

Success Criteria

Demonstrated impact in :

Improving testing efficiency

Enhancing software quality

Reducing time-to-market using AI

Delivery of clear, reusable AI reference architectures and best practices

High adoption, engagement, and satisfaction across engineering and QA teams