AI Testing Architect
Full Time • Dallas TX
Benefits:
- Competitive salary
- Health insurance
- Opportunity for advancement
Job Title: AI Testing Architect (GenAI / QA Automation)
Work Type: Full-Time/Contract
Location: Dallas, Texas Onsite
Interview Mode: Virtual + In-Person (depends)
Work Auth : Must be authorized to work in the U.S.
Domain: Enterprise AI / Agentic AI / AWS Bedrock
Compensation: Competitive, commensurate with experience
We are hiring a senior AI Testing Architect to design and implement AI-driven solutions across software testing and quality engineering. This role focuses on applying Generative AI to improve test coverage, reduce cycle time, and modernize QA practices.
You will work hands-on with engineering and QA teams while also guiding tooling decisions and adoption approaches. This is a high-impact individual contributor role with ownership of architecture, implementation, and practical AI adoption across testing workflows.
Key Responsibilities
* Design and implement AI-driven solutions for test automation, test data generation, and defect detection
* Build and deploy LLM-based workflows (e.g., test case generation, RAG-based validation, anomaly detection)
* Evaluate, select, and integrate AI tools and frameworks for QA and SDLC use cases
* Develop reusable architecture patterns for AI-enabled testing across teams
* Integrate AI solutions into CI/CD pipelines and existing engineering workflows
* Collaborate with Engineering, QA, and DevOps teams to drive practical AI adoption
* Optimize performance, cost, and reliability of AI-based solutions in production
* Provide technical guidance and hands-on support to engineers adopting AI tools
* Contribute to lightweight AI governance practices, including data handling, security, and responsible usage
Required Qualifications
* 8+ years of experience in software engineering, QA automation, or test architecture
* 3+ years of hands-on experience with AI/ML or Generative AI in production environments
* Strong experience with test automation frameworks (Selenium, Playwright, Cypress, PyTest, TestNG)
* Strong programming skills in Python
* Experience building or integrating LLM-based solutions (prompting, RAG, embeddings, vector search)
* Experience integrating solutions into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps)
* Experience with at least one cloud platform (AWS, Azure, or GCP)
* Strong understanding of software testing principles, QA processes, and SDLC
Preferred Qualifications
* Experience with LangChain or LlamaIndex
* Experience with vector databases (Pinecone, FAISS, Weaviate)
* Exposure to MLOps practices and model lifecycle management
* Experience with AI governance, security, or compliance frameworks
* Prior experience as an AI Architect, Solution Architect, or Principal Engineer
* Experience working in enterprise-scale environments
Technical Stack
* Languages: Python (primary), Java or JavaScript (optional)
* Testing: Selenium, Playwright, Cypress, PyTest, TestNG
* AI/GenAI: OpenAI APIs, LangChain or LlamaIndex, embeddings, RAG
* Data: Vector databases (Pinecone, FAISS, Weaviate)
* Cloud: AWS, Azure, or GCP
* CI/CD: Jenkins, GitHub Actions, Azure DevOps
Success Metrics
* Reduce regression testing cycle time through AI-driven automation
* Improve test coverage and defect detection using AI-generated test assets
* Deliver reusable AI architecture patterns adopted across teams
* Drive measurable adoption of AI tools within engineering and QA workflows
Work Type: Full-Time/Contract
Location: Dallas, Texas Onsite
Interview Mode: Virtual + In-Person (depends)
Work Auth : Must be authorized to work in the U.S.
Domain: Enterprise AI / Agentic AI / AWS Bedrock
Compensation: Competitive, commensurate with experience
We are hiring a senior AI Testing Architect to design and implement AI-driven solutions across software testing and quality engineering. This role focuses on applying Generative AI to improve test coverage, reduce cycle time, and modernize QA practices.
You will work hands-on with engineering and QA teams while also guiding tooling decisions and adoption approaches. This is a high-impact individual contributor role with ownership of architecture, implementation, and practical AI adoption across testing workflows.
Key Responsibilities
* Design and implement AI-driven solutions for test automation, test data generation, and defect detection
* Build and deploy LLM-based workflows (e.g., test case generation, RAG-based validation, anomaly detection)
* Evaluate, select, and integrate AI tools and frameworks for QA and SDLC use cases
* Develop reusable architecture patterns for AI-enabled testing across teams
* Integrate AI solutions into CI/CD pipelines and existing engineering workflows
* Collaborate with Engineering, QA, and DevOps teams to drive practical AI adoption
* Optimize performance, cost, and reliability of AI-based solutions in production
* Provide technical guidance and hands-on support to engineers adopting AI tools
* Contribute to lightweight AI governance practices, including data handling, security, and responsible usage
Required Qualifications
* 8+ years of experience in software engineering, QA automation, or test architecture
* 3+ years of hands-on experience with AI/ML or Generative AI in production environments
* Strong experience with test automation frameworks (Selenium, Playwright, Cypress, PyTest, TestNG)
* Strong programming skills in Python
* Experience building or integrating LLM-based solutions (prompting, RAG, embeddings, vector search)
* Experience integrating solutions into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps)
* Experience with at least one cloud platform (AWS, Azure, or GCP)
* Strong understanding of software testing principles, QA processes, and SDLC
Preferred Qualifications
* Experience with LangChain or LlamaIndex
* Experience with vector databases (Pinecone, FAISS, Weaviate)
* Exposure to MLOps practices and model lifecycle management
* Experience with AI governance, security, or compliance frameworks
* Prior experience as an AI Architect, Solution Architect, or Principal Engineer
* Experience working in enterprise-scale environments
Technical Stack
* Languages: Python (primary), Java or JavaScript (optional)
* Testing: Selenium, Playwright, Cypress, PyTest, TestNG
* AI/GenAI: OpenAI APIs, LangChain or LlamaIndex, embeddings, RAG
* Data: Vector databases (Pinecone, FAISS, Weaviate)
* Cloud: AWS, Azure, or GCP
* CI/CD: Jenkins, GitHub Actions, Azure DevOps
Success Metrics
* Reduce regression testing cycle time through AI-driven automation
* Improve test coverage and defect detection using AI-generated test assets
* Deliver reusable AI architecture patterns adopted across teams
* Drive measurable adoption of AI tools within engineering and QA workflows
Compensation: $120,000.00 - $135,000.00 per year
About Us
We work to deliver profitability in your business – with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.
Work Approach
Our Philosophy
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Work Policy
We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.
The Future
SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.
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