Principal Systems Architect

Insight Global; San Diego (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Insight Global is seeking a senior AI/automation architect to lead the design of a high-impact, secure automation ecosystem supporting DoD and commercial programs. You will own system architecture from concept to deployment, balancing technical depth with business ROI across data pipelines, ML workflows, and GenAI integrations.

The role requires DoD clearance eligibility, strong leadership, and the ability to translate complex technology into actionable business outcomes for executives.

Qualifications

• Bachelor’s or Master’s degree in IT or related field
• Ability to obtain and maintain DoD Security clearance
• Significant experience in Intelligent Automation and ML/AI
• Deep data integration across SAP, PLM, QMS and ERP systems
• Security-focused design of AI/data pipelines in regulated environments

Responsibilities

• Define and maintain the overall technical architecture of a complex enterprise automation ecosystem.
• Architect data pipelines integrating ERP, QMS, PLM tools and reporting systems.
• Provide technical leadership to automate complex workflows and DevSecOps practices.
• Own end-to-end system cybersecurity ensuring compliance with DoD standards and Zero Trust.
• Present strategies and ROI metrics to executive leadership including COO.
• Mentor engineering teams and strengthen the digital engineering bench across GA-EMS.

Skills

AI architecture

Systems thinking

DoD cybersecurity

RPA/ML/GenAI

Technical leadership

Stakeholder communication

DevSecOps

Data pipelines

ERP integration

Education

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

Tools

SAP

Windchill

Atlassian

PowerBI

MPM/Project Server

Job description

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.

REQUIRED SKILLS AND EXPERIENCE:

• 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.

NICE TO HAVE SKILLS AND EXPERIENCE:

• 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.