Cyber Systems Engineer/AI Governance Lead/Solutions Architect

Role overview

Responsibilities

• Lead architecture and AI/technology-governance reviews; evaluate enterprise fit, integration, supportability, security, scalability, and lifecycle cost.
• Set risk tiers and review criteria; translate VA and federal policy and responsible-AI expectations into practical requirements and controls.
• Review higher-risk AI, data, clinical, identity, automation, and workflow use cases; identify validation and escalation needs.
• Shape tradeoffs across applications, APIs, data, cloud, identity, low-code, automation, and AI; define non-functional requirements.
• Maintain decision records and governance assessments; develop reusable architectures, checklists, patterns, and review templates.
• Facilitate reviews and partner across security, data, clinical, platform, engineering, testing, and program teams.
• Assess technical debt, lock-in, sustainment, operational ownership, and monitoring; support readiness reviews and portfolio improvements.

Qualifications

• Bachelor's degree in a related field; equivalent professional experience may be considered.
• 10+ years of progressive experience in architecture, systems design, cybersecurity or technology risk, consulting, AI governance, or modernization.
• Architecture depth across applications, integration, data, cloud/platform, identity, security, networking, and operational support.
• Experience operationalizing technology or AI governance and translating policy and risk requirements into technical controls.
• Working knowledge of AI/ML and generative-AI lifecycle concepts, human oversight, privacy, security, and monitoring.
• Federal or regulated-environment experience and strong executive and technical communication skills.
• Must satisfy VA personnel vetting and applicable security, privacy, records, training, and data-handling requirements.
• 12+ years in federal or regulated work and prior VA/federal health experience are desired.

Preferred experience and credentials

• Recommended certification: TOGAF, Azure Solutions Architect Expert, AWS Solutions Architect Professional, or comparable architecture/cloud credential.
• Desired experience includes NIST AI risk management, responsible AI, model risk, AI assurance, Zero Trust, cloud-native architecture, Azure/Power Platform, and secure software delivery.
• Additional IAPP AIGP, CISSP/CCSP, CISM/CRISC, privacy, or advanced cloud/security architecture certifications are preferred.

Compensation

• Target salary range is $185,000–$225,000; individual compensation depends on factors including location, qualifications, and business considerations.