Principal System Architect

Insight Global; San Diego (CA); On-site; USD 150,000 - 185,000; Full time

Job summary

GA-EMS is seeking a Principal Systems Architect to lead the technical direction of enterprise digital transformation. You will bridge GenAI, ML, and RPA with critical business operations, modernizing workflows across programs, manufacturing, QA, and finance in a secure DoD-aligned cloud environment.

The role requires a strong systems thinker with extensive experience in AI/automation architecture, able to own system design end-to-end and communicate ROI to executive leadership, including the COO.

Qualifications

• Bachelor's or Master's degree in Information Technology or related field; 14+ years progressive architecture experience.
• Ability to obtain and maintain a DoD Security clearance.
• Experience architecting Intelligent Automation (RPA) and ML/AI across enterprise lifecycles.

Responsibilities

• Define technical architecture for enterprise automation across RPA, ML, and GenAI.
• Design data pipelines integrating ERP (SAP), QMS, PowerBI, PLM tools like Windchill.
• Lead automated workflows, ECP routing, QA defect prediction, and DevSecOps monitoring.
• Ensure DoD data protection standards, CMMC, and Zero Trust alignment.
• Present strategies and ROI metrics to COO and executives.

Skills

Systems architecture

AI/Automation leadership

Cross-functional leadership

DoD security compliance

Executive communication

Cybersecurity fundamentals

Data integration

RPA/ML/GenAI orchestration

DevSecOps awareness

Risk management

Education

Bachelor's or Master's in Information Technology or related field

Tools

SAP

Windchill

Atlassian

PowerBI

Project Server

Job description

Duration: Direct Placement

Compensation Range: $150-185k – DOE

Job Summary

GA-EMS is seeking a Principal Systems Architect to lead the technical direction and execution of our enterprise digital transformation initiatives. This individual will serve as the primary architect bridging the gap between advanced technology (GenAI, Machine Learning, RPA) and critical business operations, targeting the modernization of workflows across Programs, Manufacturing, Quality Assurance (QA), Configuration-Data Management, Finance, and IT Infrastructure.

This is a senior technical role for a high-impact, complex automation ecosystem supporting U.S. Government and commercial programs. The architecture involves real-time data extraction from legacy systems (SAP, PEO, MPM, PLM), predictive machine learning for manufacturing and QA defect analysis, and GenAI-driven automation for software processes and financial/EVMS reporting. Operating within a highly secure, CMMC-compliant defense cloud environment, this system serves a diverse internal user base of program, engineering, manufacturing, material management, and financial managers and executive leadership.

The right candidate is a strong systems thinker, an experienced AI/automation architect, and a credible technical authority who will own the system design from concept to deployment. This person must possess a balance of deep technical depth to architect secure machine learning pipelines across varied data domains, the operational drive to execute projects on schedule, and the executive presence to translate complex technology into clear business ROI (throughput, quality, margin protection) for stakeholders up to the COO level.

DUTIES AND RESPONSIBILITIES:

• Partner with cross-functional leadership to understand manual data extraction chokepoints and architect automated "future state" solutions for the entire product lifecycle.
• Define and maintain the overall technical architecture of a complex enterprise automation ecosystem spanning RPA, Machine Learning, and GenAI applications across multiple business units.
• Architect data pipelines that integrate diverse enterprise systems, such as ERP (SAP, Production Engineering and Operations), Quality Management Systems (QMS), Project reporting tools (PowerBI, MPM, Project Server) and Configuration-Data Management/PLM tools (e.g., Windchill, Atlassian).
• Provide technical leadership to automate complex workflows, such as Engineering Change Proposals (ECPs) routing, automated QA defect prediction, DevSecOps infrastructure monitoring, and predictive financial EVMS reporting.
• Take ownership of end-to-end system cybersecurity, ensuring all AI and automation initiatives strictly comply with DoD data protection standards, CMMC, and Zero Trust architectures.
• Proactively identify technical risks, architectural friction points, and integration challenges before they impact project delivery or system accreditation.
• Exercise sound engineering judgment to evaluate tradeoffs among deployment speed, system resiliency, maintainability, and long-term enterprise health.
• Represent the digital transformation program as a senior technical leader, confidently presenting strategies, roadmaps, and cross-functional ROI metrics to the COO and other executive stakeholders.
• Mentor technical team members and help strengthen the digital engineering bench across the GA-EMS organization.

We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.

Job Qualifications

• Typically requires a Bachelor's or Master's degree in Information Technology or related field and fourteen or more year's progressive experience in designing information technology system architecture. Equivalent professional experience may be substituted in lieu of education.
• Must have the ability to obtain and maintain a DoD Security clearance.
• Significant experience architecting and deploying Intelligent Automation (RPA) and Machine Learning/AI addressing workflows and pipelines across a broad enterprise encompassing Engineering, Manufacturing, Quality, and Finance lifecycles.
• Strong systems engineering mindset with a deep understanding of complex data integration across ERPs (SAP), Configuration-Data Management/PLM (e.g., Windchill, Atlassian), and infrastructure management tools.
• Deep understanding of cybersecurity principles, specifically securing AI models and data pipelines within Department of Defense (DoD) or heavily regulated environments.
• Demonstrated ability to lead across organizational boundaries, balancing technical know-how with the execution drive required to push multi-departmental projects across the finish line.
• Proactive leadership style with a strong sense of ownership, accountability, and the confidence to make bold but disciplined decisions.
• Exceptional communication skills, including the proven ability to present complex technical concepts to senior business executives (C-suite) and non-technical operational leaders.

Preferred Qualificaitons:

• An active Security Clearance is preferred, but not required.
• Experience supporting Department of Defense contractors, with a broad understanding of defense manufacturing standards (MPEO workflows), configuration-data management, and financial compliance (EVMS).
• Experience with modern software delivery processes, DevSecOps CI/CD pipelines, and infrastructure-as-code automation.
• Experience integrating Large Language Models (LLMs) or generative AI tools into internal corporate workflows using Retrieval-Augmented Generation (RAG) within secure environments like GCC High or Microsoft Purview.