• Own the end-to-end architecture of the Edge AI / IoT platform, defining reference designs, component boundaries, data flows, and integration contracts across edge, on-premises, and cloud tiers. • Drive adoption of open standards (MQTT, VSS, OPC-UA, ONVIF, etc.) and NVIDIA ecosystem tooling (CUDA, TensorRT, Jetson, NGC) across the product. • Lead the architecture design to achieve and maintain NIST SP 800-171 compliance, with a clear pathway toward CMMC Level 2 (and Level 3 where required by contracts). • Define zero-trust principles, secure-by-design patterns, cryptographic key management, and supply chain security practices for all platform components. • Collaborate with our compliance and legal teams to produce architecture documentation, system security plans (SSPs), and evidence packages required during government procurement. • Serve as the primary technical mentor for a globally distributed engineering team spanning multiple time zones; run architecture reviews, design sprints, and internal tech talks. • Act as the senior technical point of contact during pre-sales and onboarding with US public sector clients, translating customer mission requirements into platform capabilities.

Role Description ECS is seeking an experienced NIH NIAID Enabling and Advancing Technologies (NEAT) Enterprise Architect to work remotely providing technical leadership and oversight for the development and implementation of NIAID's technology strategy, ensuring alignment with the NIH mission and business requirements. The Enterprise Architect will be responsible for the day-to-day management and oversight of work performed under this task order. Key Responsibilities: - Enterprise Architecture: - Develop and present areas for growth and development of OEB's technology offerings. - Assist with strategic planning for OEB Infrastructure services programs to meet NIH mission and business requirements. - Experience working with microservices and containerization, including orchestration, cluster management, and container storage, including Docker, Kubernetes, or Rancher. - Ability to lead, mentor, and guide engineering teams to ensure adherence to best practices. - Relevant Certifications (e.g., AWS, Azure, Agile SAFe, DevOps, DevSecOps, CI/CD, CMMI, etc.). - Experience with development automation, including GitOps, GitLab, or GitHub. - Familiar with HHS Enterprise Life Cycle (ELPC) methodology. - Reporting and Communication: - Ensure timely and accurate reporting of technical strategy and other relevant information. - Collaborate with stakeholders to ensure smooth execution of technical strategy and resolve any issues that may arise. - Collaboration and Coordination: - Collaborate with stakeholders to ensure smooth execution of technical strategy and resolve any issues that may arise. - Coordinate with team members to ensure effective technical strategy management and delivery. - Deliverables: - Reports on technical strategy and alignment with NIH mission and business requirements. - Strategic plans for OEB Infrastructure services programs. Qualifications - Documented experience with Enterprise Architecture and technology strategy development. - Experience with technical leadership and strategic planning, including developing and presenting areas for growth and development of OEB's technology offerings. - Excellent communication and reporting skills, with the ability to deliver timely and accurate reports. - Strong collaboration and coordination skills, with the ability to collaborate effectively with stakeholders and team members. - Bachelor’s degree in computer science, Information Security, or related field. - Active Public Trust or higher security clearance. - Minimum 10 years’ experience supporting Health IT software development initiatives leveraging Agile and DevOps/DevSecOps practices leading cross-functional teams. - Experience installing, configuring, and integrating custom solutions, COTS, GOTS, and FOSS into a larger collection of services and systems. - PMP (Project Management Professional) Certification. - Reside within the Washington DC Metro area. - Travel within the Washington DC Metro Area, and CONUS as needed. Requirements - Salary Range: $130,000 - $190,000 Benefits - General Description of Benefits

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? Here’s 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 bird’s eye view of AI quality, encompassing technical, process, delivery, governance, and business considerations across AI enabled systems. Acting as the “Keeper of the Vision” 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 organization—from 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 • Define, build, and scale the AI Test Practice, including standards, playbooks, accelerators, and delivery models. • Establish a clear practice vision, roadmap, and KPIs aligned with business outcomes and client needs. • Act as the senior escalation point for AI quality, risk, and architecture decisions. • Identify internal process and technology gaps as well as provide R&D direction to address them. • Support hiring, mentoring, and career development across AI testing and quality engineering teams. AI Testing Architecture & Methodologies • Design and implement AI runtime testing methodologies for deterministic and non deterministic systems (ML models, GenAI, LLMs). • Define AI test architecture addressing: -Data quality and lineage -Model behavior and performance -Bias, fairness, and explainability -Drift, robustness, and security • 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. • Establish AI quality gates embedded in CI/CD and MLOps workflows. Accelerators, Automation & Tooling • Create, evolve, and maintain AI testing accelerators across: -SDLC integration -Test automation -Runtime monitoring and observability -Risk and compliance reporting • Standardize reusable frameworks for AI regression testing, GenAI prompt validation, drift detection, and reporting. • Maintain a big picture view of frameworks, dependencies, client goals, and technology direction. SDLC, Delivery & Client Engagement • Apply AI testing strategies across Agile, Waterfall, and hybrid delivery models. • Partner with engineering, data science, and product teams to embed quality early and continuously. • Act as a client facing AI testing advisor, engaging confidently with technical and executive stakeholders. • Lead client workshops, AI quality assessments, and roadmap definition efforts. • Support solution design, proposals, presentations, demos, and proofs of value. Metrics, Governance & Continuous Improvement • Define and track AI quality KPIs, including model accuracy, drift, bias indicators, coverage, and production stability. • Establish AI testing governance aligned with client, regulatory, and risk requirements. • Build and deliver executive level reporting dashboards for AI quality, risk, and compliance. • Drive continuous improvement through retrospectives, metrics analysis, and feedback loops. SKILLS REQUIRED Core Skills & Experience • Proven experience designing and implementing AI runtime testing methodologies. • Strong background as a Test Architect for enterprise scale systems. • Demonstrated success delivering AI testing accelerators across SDLC, automation, and reporting. • Experience leading and scaling testing teams and practices. • Hands on experience with AI/ML and GenAI quality concepts (training, inference, drift, bias, explainability). • Familiar with collecting and analysis of Precision, Recall, F1 Scoring, and Confusion Matrix Technical & Methodological Expertise • Shift left testing and continuous quality engineering. • Agile, Waterfall, and hybrid delivery models. • CI/CD and MLOps integration. • Test automation frameworks and data validation strategies. • Monitoring, observability, and AI system reporting. Client Facing & Leadership Skills • Excellent communication skills with both technical and non technical audiences. • Ability to influence decisions at engineering, product, risk, and executive levels. • Strong presentation and workshop facilitation skills. • Consultative mindset focused on outcomes, risk reduction, and business value. • Comfortable working in open, dynamic, and collaborative team environments. Other Skills and Traits • Strong analytical, problem solving, and systems thinking abilities. • Self starter with a proactive leadership mindset. • Strong time management and organizational skills. • Passionate advocate for quality, trust, and responsible AI. • Desire to continuously improve AI quality processes and practices. EDUCATION and EXPERIENCE • Minimum 12 years of experience in Quality Engineering, Testing, or Software Engineering. • Minimum 8 years in senior technical or architecture roles. • 3–5 years of experience leading teams or practices. • Bachelor’s 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 & LocationThis is a Permanent position based out of Austin, TX. Pay and BenefitsThe 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: • 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) Workplace TypeThis is a fully remote position. Application DeadlineThis position is anticipated to close on Apr 16, 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 We’re 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. We’re 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. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re 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 TEKsystems.com. 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.

• Define and own the architectural vision, standards, and roadmap for Summit’s Kubernetes platform. • Design scalable, resilient, and secure Kubernetes environments to support internal and client-facing workloads. • Establish platform patterns, design principles, and governance for container orchestration, workload placement, networking, storage, and cluster lifecycle management. • Lead infrastructure automation strategy for Kubernetes and adjacent systems, including infrastructure as code, configuration management, and CI/CD integration. • Partner with Engineering, Operations, Security, and other stakeholders to assess requirements and translate them into effective platform solutions. • Evaluate current-state Kubernetes environments and identify opportunities to improve performance, reliability, scalability, and maintainability. • Provide architectural guidance for Kubernetes-based application deployments, ensuring alignment with platform standards and operational best practices. • Influence observability, monitoring, alerting, and incident readiness strategies within Kubernetes environments. • Troubleshoot complex platform-level issues and guide root cause analysis for critical Kubernetes and container-related incidents. • Drive modernization initiatives related to container platforms, orchestration strategy, and underlying Linux infrastructure. • Create and maintain architecture documentation, reference designs, platform standards, and technical guidance for internal teams. • Support security and compliance objectives by incorporating platform hardening, access controls, segmentation, and other Kubernetes security best practices into the architectural framework.