[Hiring] Practice Architect @TEKsystems

Role Description

We are seeking a Practice Architect to lead the design and delivery of AI-driven quality engineering solutions across client engagements. You will architect test strategies and frameworks for both traditional and AI-enabled systems, including ML models, GenAI, LLMs, RAG, and agentic applications, and apply AI to transform how testing itself is designed, automated, and governed. This is a senior, client-facing architecture role.

• Shape solutions and Statements of Work.
• Build reusable AI testing accelerators.
• Guide delivery teams.
• Advise clients on trustworthy, responsible AI adoption.
• Proven architecture experience is required; AI is central to the role, grounded in strong quality engineering fundamentals.

Qualifications

• 10+ years in software development or quality engineering, or system integration, including at least 3 years in an architect role (test, solution, or QE architect) at a recognized technology organization.
• Proven track record designing enterprise test strategies, automation architectures, and frameworks from scratch using Java, Python, or JavaScript/TypeScript.
• Demonstrated hands-on experience designing and executing testing strategies for AI/ML and GenAI systems, with a strong understanding of AI risks such as drift, bias, hallucination, and security.
• Expertise in using open-source and commercial AI models, copilots, prompt engineering, and agentic AI to build testing solutions or accelerators.
• Strong knowledge of UI and API automation (e.g., Playwright, Selenium, Rest Assured, Karate), CI/CD, and cloud platforms (AWS, Azure, or GCP).
• Familiarity with model evaluation metrics, AI observability, and data validation strategies for data-driven applications.
• Experience shaping Statements of Work, proposals, and estimates in a consulting or client-facing environment.
• Excellent communication, presentation, and executive stakeholder skills; able to explain AI risk and quality trade-offs to technical and business audiences.
• Bachelor's degree in computer science or a related engineering field, or equivalent experience.
• Ability to travel to the United States or Canada, and satisfactory completion of standard employment screening.

Requirements

• AI evaluation: Experience with evaluation frameworks such as DeepEval, Ragas, promptfoo, or Azure AI / Vertex AI evaluation tools.
• AI platforms: Exposure to MLOps/LLMOps platforms, vector databases, and AI observability tools.
• Specialization: Depth in one or more domains such as performance, ETL/data, security, or accessibility testing.
• Industry: Experience in financial services, healthcare, telecommunications, energy, or other regulated industries.
• Certifications: One AI testing or cloud certification (e.g., ISTQB CT-AI/CT-GenAI, Azure AI Engineer, AWS ML) and optionally SAFe. Valued, not required.

Benefits

• Medical, Dental, and Vision.
• Critical Illness, Accident, and Hospital.
• 401(k) Retirement Plan: Pre-tax and Roth post-tax contributions available.
• Life Insurance (Voluntary Life and AD&D for employee and dependents).
• Short and Long-Term Disability.
• Health Spending Account (HSA).
• Transportation Benefits.
• Employee Assistance Program.
• Time Off/Leave (PTO, Vacation or Sick Leave).

Company Description

TEKsystems Global Services (TGS) is the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution, and operations with a customer-first mindset for bold business leaders. We deliver cloud, data, and customer experience solutions.