Practice Architect-Test Lead Lead

Think of TEKsystems Global Services (TGS) as 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. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success. Ready to join us? Hereu2019s what the opportunity supported through our TGS Talent Acquisition Team requires: Practice: Quality Engineering / AI & Data Quality TEKsystems Global Services is an information technology services company with decades of experience delivering solutions in Application Development, Quality Engineering, Data, AI, and managed services across industries including Financial Services, Healthcare, Energy, Mobility, and Life Sciences. As part of our continued growth, the Quality Engineering Practice is seeking an AI Test Lead Architect to define, build, and scale our enterprise AI testing capabilities. This role offers the opportunity to shape the future of AI quality engineering, work with industry leading clients, and establish market differentiated AI testing services and accelerators. Role Description The AI Test Lead Architect is responsible for the strategy, vision, architecture, execution, and growth of the AI Testing Practice. This role maintains a birdu2019s eye view of AI quality, encompassing technical, process, delivery, governance, and business considerations across AI enabled systems. Acting as the u201cKeeper of the Visionu201d for AI quality, the AI Test Practice Lead defines testing methodologies, frameworks, accelerators, and operating models that ensure trust, reliability, performance, and compliance of AI systems across the SDLC. The role interfaces with all levels of the organizationu2014from C-level executives to hands-on team members delivering software. The AI Test Lead Architect will provides architectural guidance, mentoring, client advisory, and escalation support for complex AI quality challenges. ROLES AND RESPONSIBILITIES Practice Leadership & Strategy u2022 Define, build, and scale the AI Test Practice, including standards, playbooks, accelerators, and delivery models. u2022 Establish a clear practice vision, roadmap, and KPIs aligned with business outcomes and client needs. u2022 Act as the senior escalation point for AI quality, risk, and architecture decisions. u2022 Identify internal process and technology gaps as well as provide R&D direction to address them. u2022 Support hiring, mentoring, and career development across AI testing and quality engineering teams. AI Testing Architecture & Methodologies u2022 Design and implement AI runtime testing methodologies for deterministic and non deterministic systems (ML models, GenAI, LLMs). u2022 Define AI test architecture addressing: -Data quality and lineage -Model behavior and performance -Bias, fairness, and explainability -Drift, robustness, and security u2022 Develop and guide shift-left AI testing through early collaboration, strategic conversations, and shared standards that shape responsible, high-quality AI delivery from the start. u2022 Establish AI quality gates embedded in CI/CD and MLOps workflows. Accelerators, Automation & Tooling u2022 Create, evolve, and maintain AI testing accelerators across: -SDLC integration -Test automation -Runtime monitoring and observability -Risk and compliance reporting u2022 Standardize reusable frameworks for AI regression testing, GenAI prompt validation, drift detection, and reporting. u2022 Maintain a big picture view of frameworks, dependencies, client goals, and technology direction. SDLC, Delivery & Client Engagement u2022 Apply AI testing strategies across Agile, Waterfall, and hybrid delivery models. u2022 Partner with engineering, data science, and product teams to embed quality early and continuously. u2022 Act as a client facing AI testing advisor, engaging confidently with technical and executive stakeholders. u2022 Lead client workshops, AI quality assessments, and roadmap definition efforts. u2022 Support solution design, proposals, presentations, demos, and proofs of value. Metrics, Governance & Continuous Improvement u2022 Define and track AI quality KPIs, including model accuracy, drift, bias indicators, coverage, and production stability. u2022 Establish AI testing governance aligned with client, regulatory, and risk requirements. u2022 Build and deliver executive level reporting dashboards for AI quality, risk, and compliance. u2022 Drive continuous improvement through retrospectives, metrics analysis, and feedback loops. SKILLS REQUIRED Core Skills & Experience u2022 Proven experience designing and implementing AI runtime testing methodologies. u2022 Strong background as a Test Architect for enterprise scale systems. u2022 Demonstrated success delivering AI testing accelerators across SDLC, automation, and reporting. u2022 Experience leading and scaling testing teams and practices. u2022 Hands on experience with AI/ML and GenAI quality concepts (training, inference, drift, bias, explainability). u2022 Familiar with collecting and analysis of Precision, Recall, F1 Scoring, and Confusion Matrix Technical & Methodological Expertise u2022 Shift left testing and continuous quality engineering. u2022 Agile, Waterfall, and hybrid delivery models. u2022 CI/CD and MLOps integration. u2022 Test automation frameworks and data validation strategies. u2022 Monitoring, observability, and AI system reporting. Client Facing & Leadership Skills u2022 Excellent communication skills with both technical and non technical audiences. u2022 Ability to influence decisions at engineering, product, risk, and executive levels. u2022 Strong presentation and workshop facilitation skills. u2022 Consultative mindset focused on outcomes, risk reduction, and business value. u2022 Comfortable working in open, dynamic, and collaborative team environments. Other Skills and Traits u2022 Strong analytical, problem solving, and systems thinking abilities. u2022 Self starter with a proactive leadership mindset. u2022 Strong time management and organizational skills. u2022 Passionate advocate for quality, trust, and responsible AI. u2022 Desire to continuously improve AI quality processes and practices. EDUCATION and EXPERIENCE u2022 Minimum 12 years of experience in Quality Engineering, Testing, or Software Engineering. u2022 Minimum 8 years in senior technical or architecture roles. u2022 3u20135 years of experience leading teams or practices. u2022 Bacheloru2019s degree in Computer Science, Engineering, or related field (or equivalent experience). QUALIFICATIONS Candidates must demonstrate strong understanding of business processes, AI system risks, and enterprise delivery models. The ideal candidate quickly grasps complex concepts, communicates effectively at all levels, and balances technical depth with strategic thinking. Employment may be contingent upon successful completion of background checks, employment verification, and reference checks, consistent with company policy. Job Type & Location This is a Permanent position based out of Austin, TX. Pay and Benefits The pay range for this position is $160000.00 - $225000.00/yr. We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc. Our full-time, internal employment benefits include the following: u2022 Medical, Dental, and Vision u2022 Critical Illness, Accident, and Hospital u2022 401(k) Retirement Plan u2013 Pre-tax and Roth post-tax contributions available u2022 Life Insurance (Voluntary Life and AD&D for employee and dependents) u2022 Short and Long-Term Disability u2022 Health Spending Account (HSA) u2022 Transportation Benefits u2022 Employee Assistance Program u2022 Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Mar 18, 2026. h4>About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services Weu2019re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Weu2019re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Weu2019re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Weu2019re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at . The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Created: 2026-03-06