CDAIO Enterprise Technology Architect; IT
Job in
Scottsdale, Maricopa County, Arizona, 85251, USA
Listed on 2026-07-12
Listing for:
Progeny Systems (Acquired by General Dynamics)
Full Time
position Listed on 2026-07-12
Job specializations:
-
IT/Tech
Cybersecurity, Systems Engineer, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Job Title
Lead Enterprise Architect
Basic QualificationsBachelor's degree in Systems Engineering, or a related Science, Engineering or Mathematics field, plus a minimum of 10 years of relevant experience; or Master's degree, plus a minimum of 8 years of relevant experience. Due to the nature of work performed within our facilities, U.S. citizenship is required.
Responsibilities For This PositionRole And Position Objectives:
- Leads enterprise architecture efforts across cloud, integration, AI, and security domains, producing decision-ready deliverables (executive summaries, risk registers, roadmaps, Con Ops) that enable VP- and leadership-level decisions.
- Designs and governs AI platform architectures, including LLM access layers, API/MCP gateways, AI landing zones, and secure AI integration patterns compliant with NIST 800-171, CMMC L2, and GDMS IT policy.
- Develops and maintains architecture standards and templates across multiple domains (cloud, integration, security, data); contributes to and participates in Architecture Review Board (ARB) processes.
- Conducts enterprise integration architecture analysis, mapping system interfaces and interdependencies across Tier 1 applications to support investment decisions and AI readiness assessments.
- Produces AI-assisted architecture artifacts using approved AI tooling and skill libraries; actively contributes to the team's reusable prompt and skills repository to multiply output across the practice.
- Performs trade studies and technology evaluations — including POC design and execution — to recommend platform, tool, or solution selections with supporting business case, ROI analysis, and risk assessment.
- Supports Zero Trust architecture planning and implementation, with specific focus on data security, identity, and API-layer controls.
- Applies Model-Based Systems Engineering (MBSE) principles (SysML v2 or equivalent) to IT and enterprise architecture work.
- Identifies AI automation opportunities within architecture workflows and across IT operations; designs and advocates for automation solutions that reduce manual effort and increase consistency at scale.
- Engages cross-functionally with security, data, application, and engineering teams to align architecture decisions with CDAIO strategic objectives and organizational compliance posture.
We encourage you to apply if you have any of these preferred skills or experiences:
- Practical, hands-on proficiency with AI coding and architecture tools (e.g., Claude Code, Codex, or equivalent)
- Knowledge of enterprise AI governance frameworks, including prompt security, least-privilege AI access design, AI risk registers, and responsible AI deployment practices.
- Familiarity with cloud platform architecture across two or more major providers (AWS, Azure, GCP), including landing zone design, network connectivity patterns, and compliance-ready configurations.
- Understanding of Zero Trust architecture principles and their application to data security, API security, and identity/access management.
- Ability to produce executive-level architecture deliverables — system inventories, integration topology maps, AI readiness assessments, risk packages — that are audience-appropriate and action-driving.
- Familiarity with enterprise compliance frameworks — NIST 800-171, CMMC L2, TOGAF
What Sets You Apart:
- Creative thinker with demonstrated success leading the systems development life cycle
- Collaborative team player eager to provide technical leadership and position others for success
- Exceptional communication, presentation, and influence management skills, with notable record of securing buy-in on concepts and ideas
- Experienced in the art of negotiation with ability to meet challenging customer requirements with win-win solutions
- Commitment to ongoing professional development for yourself and others
- Identifies opportunities to apply AI for continuous improvement and innovation
Our Commitment To You:
- An exciting career path with opportunities for continuous learning and development.
- Research oriented work, alongside award winning teams developing practical solutions for our nation's security
- Flexible schedules with every other Friday off work, if desired (9/80…
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