AI Tools & Testing Architect

Code17Tek; Dallas (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

A technology solutions company is seeking an AI Tools and Architecture Expert with extensive experience in implementing and scaling AI solutions, particularly in software testing and quality engineering. You will lead teams in adopting AI technologies to enhance productivity, quality, and innovation. The ideal candidate will have strong skills in AI/ML tools, architectural design, and integration with DevOps practices. This role is pivotal in transforming testing workflows through AI methodologies.

Qualifications

• Deep hands-on expertise in using and scaling AI solutions across software engineering.
• Ability to define AI adoption frameworks for testing use cases.
• Strong communication skills for guiding technical and non-technical stakeholders.

Responsibilities

• Architect and implement AI-driven solutions across testing and QA workflows.
• Provide technical guidance on selecting and optimizing AI tools.
• Collaborate with teams to embed AI into the software development lifecycle.

Skills

AI/ML and generative AI tools

Architecture and design for scalable AI solutions

Software testing and QA frameworks

AI integration with CI/CD pipelines

Cloud-based AI platforms

Communication skills

Job description

We are seeking a highly experienced AI Tools and Architecture Expert who has deep hands‑on expertise in using, implementing, and scaling AI solutions across software engineering, with a strong focus on testing and quality engineering use cases. This individual will act as a technical architect and strategic advisor, guiding teams on how to effectively adopt AI for productivity, quality, and innovation.

Key Responsibilities

• Architect, design, and implement AI‑driven solutions across testing, QA, and broader engineering workflows
• Provide technical leadership and guidance on selecting, integrating, and optimizing AI tools (LLMs, agents, copilots, test‑automation AI, etc.)
• Define AI adoption frameworks for testing use cases such as:
  • Test case generation and optimization
  • Test data generation and masking
  • Defect prediction and root‑cause analysis
  • Intelligent test execution, coverage, and prioritization
• Enable teams with best practices, patterns, and reference architectures for AI usage
• Evaluate and recommend AI platforms, tools, and vendors based on business and technical fit
• Collaborate with engineering, QA, DevOps, security, and leadership teams to embed AI into the SDLC
• Establish governance, security, and responsible AI guidelines
• Mentor teams and conduct workshops, demos, and enablement sessions

Required Skills & Experience

• Strong hands‑on experience with AI/ML and generative AI tools (e.g., LLMs, prompt engineering, agents, embeddings, RAG)
• Proven architecture and design experience for scalable AI solutions
• Deep understanding of software testing, QA, and test‑automation frameworks
• Experience integrating AI with CI/CD pipelines and DevOps practices
• Familiarity with cloud‑based AI platforms (AWS, Azure, GCP) and APIs
• Ability to translate business problems into AI‑driven technical solutions
• Strong communication skills to guide both technical and non‑technical stakeholders

Nice to Have

• Experience with AI governance, security, and compliance
• Prior experience as a Solution Architect, AI Architect, or Principal Engineer
• Experience implementing AI in enterprise‑scale environments
• Certifications in cloud, AI, or architecture disciplines

Success Criteria

• Demonstrated impact in improving testing efficiency, quality, and time‑to‑market using AI
• Clear, reusable AI reference architectures and best practices
• High adoption and satisfaction across engineering and QA teams