Cyber Systems Engineer/AI Governance Lead/Solutions Architect
LMI Consulting · Tysons, VA, US
About this role
## Overview LMI is seeking a **Cyber Systems Engineer / AI Governance Lead / Solutions Architect** to provide full-time senior technical leadership for **Department of Veterans Affairs (VA)** modernization initiatives. This role blends independent solution-architecture judgment with practical **AI and technology-governance leadership** to ensure complex solutions are **technically feasible, secure, supportable, responsible, and aligned** with VA enterprise constraints. **Work model:** Hybrid — approximately **25% onsite** at LMI’s **Tysons headquarters (Washington, DC)**. --- ## Responsibilities - Lead independent **solution-architecture** and **AI/technology-governance** reviews for complex VA modernization initiatives. - Evaluate solution options for **enterprise fit**, reuse, integration, maintainability, supportability, scalability, security, data dependencies, and lifecycle cost. - Establish **risk-tiering** and review criteria so governance depth is proportionate to use case, users, data sensitivity, autonomy, operational impact, and potential harm. - Translate VA and federal requirements (including **responsible-AI**, cybersecurity/privacy, and enterprise standards) into practical **architecture requirements, controls, and decision criteria**. - Review higher-risk AI, data, clinical, identity, automation, and workflow use cases; determine when additional validation, formal escalation, or executive decisions are required. - Shape major technical tradeoffs across applications, APIs/integration, data, cloud/platform, identity, low-code, automation, and AI-enabled solution patterns. - Define **non-functional requirements** (interoperability, data protection, identity, logging/auditability, observability, resilience, accessibility, human oversight, monitoring, and operational support). - Maintain **architecture decision records** and governance artifacts (assumptions, approvals, exceptions, risk treatments, accountable owners, unresolved questions) for traceability. - Develop reusable **reference architectures**, governance checklists, technical patterns, review templates, and decision guidance. - Facilitate architecture/governance reviews that produce clear decisions, owners, actions, and escalation paths. - Partner with cybersecurity/privacy, data, clinical informatics, HCD, platform, engineering, testing, and program leadership to resolve cross-cutting constraints and right-size controls. - Assess technical debt, vendor lock-in, sustainment, operational ownership, model/system change, and post-deployment monitoring before major decisions. - Support implementation and readiness reviews to confirm architecture/governance assumptions remain valid as solutions move from design to pilot, deployment, and scale. - Track recurring architecture/governance findings and recommend shared services, reference patterns, standards, or portfolio improvements. --- ## Qualifications - **Bachelor’s degree** in computer science, information systems, engineering, cybersecurity, data science, public policy, risk management, or related field (equivalent experience may be considered). - **10+ years** progressive experience across enterprise/solution architecture, systems design, cybersecurity or technology risk, technical consulting, AI governance, or related modernization work. - Demonstrated solution-architecture depth across applications, APIs/integration, data, cloud/platform, identity, security, networking, and operational support (including life
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