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AI Summary

The Practice Architect is responsible for scaling training, documentation, and project execution frameworks across global Amazon Robotics deployment programs. They will define workforce leveling standards, conduct process improvement analyses, and provide technical enablement to field teams.

Description

This is a fully remote opportunity

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:

The Practice Engineer is a technically strong, analytically focused, and operationally minded contributor responsible for scaling training, leveling, documentation, and project execution frameworks across Amazon Robotics deployment programs (ARDE, MSP, Retrofit, GSS, Vulcan US/EU). This role blends technical documentation expertise, project engineering, data-driven process improvement, and cross-functional leadership. The Practice Engineer helps standardize workforce development, training, project setup, and operational governance to ensure TEKsystems delivers consistent, high-quality support across global robotics initiatives.

Key Responsibilities

Training Development, Documentation & Knowledge Systems

- Build and maintain detailed technical documentation, SOPs, installation guides, workflow diagrams, and site-readiness materials.

- Conduct field observations and engage Subject Matter Experts to convert complex technical processes into clear, scalable training curriculum.

- Develop structured training modules, assessments, and certification paths.

- Perform time studies and workflow evaluations to refine training content.

Workforce Leveling & Career Progression Standards

- Define leveling criteria, competencies, and progression paths for CDA → CDE3.

- Build rubrics, skill matrices, and objective performance indicators.

- Partner with Engagement Managers and Program Leads to align leveling with field expectations.

Solutioning, Project Setup & Technical Enablement

- Assist in solution design, scoping, and project setup across robotics programs.

- Conduct readiness checks and feasibility assessments.

- Support new technology pilots with hands-on validation and documentation updates.

- Establish repeatable project-launch playbooks.

Process Improvement, Data Analysis & Operational Governance

- Perform analyses to identify inefficiencies in deployment workflows.

- Use time studies, KPI dashboards, and operational insights to refine delivery models.

- Maintain governance over SOPs, best practices, and QA standards.

Recruiting Support & Job Description Standardization

- Develop standardized job descriptions across all role tiers.

- Participate in interview loops for technical and leadership candidates.

- Provide technical clarity to recruiting partners.

International Expansion Support (EU: Germany & UK)

- Adapt training, leveling, and onboarding processes for EU regions.

- Create localized content as needed.

- Collaborate with EU leadership on workforce modeling and training replication.

Cross-Functional Leadership & Practice Enablement

- Equip field teams with knowledge, tools, and support.

- Facilitate mentorship, enablement sessions, and training QA.

- Ensure consistent execution across technologies and regions.

Required Qualifications

- Bachelor’s degree in technical or related field.

- Experience in robotics, mechanical systems, mechatronics, or deployments.

- Strong proficiency in technical writing and documentation.

- Demonstrated project management skills.

- Strong analytical capabilities.

- Exceptional interpersonal and communication skills

Preferred Qualifications

- Experience supporting Amazon Robotics deployments.

- Field engineering or test engineering experience.

- Background in supply chain, manufacturing, or deployment logistics.

- Experience training or mentoring junior engineers/technicians.

Success Indicators

- Scalable training programs across all robotics workstreams.

- Documented leveling standards adopted across the Practice.

- Reduced dependency on leadership for solutioning and setup.

- Improved onboarding efficiency and consultant readiness.

- High-quality materials supporting communication with stakeholders.

- Smooth replication of U.S. frameworks in EU regions.

Skills

Architecture

Top Skills Details

Architecture

Additional Skills & Qualifications

See Above

Experience Level

Expert Level

Job Type & Location

This is a Permanent position based out of Baltimore, MD.

Pay and Benefits

The pay range for this position is $128000.00 - $192000.00/yr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

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 Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Sep 28, 2026.

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.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

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