Senior Cyber Systems Engineer & AI Governance Lead

LMI Government Consulting; Tysons (VA); Hybrid; USD 185,000 - 225,000; Full time

Job summary

LMI Government Consulting is seeking a Cyber Systems Engineer/AI Governance Lead/Solutions Architect to provide senior technical leadership for VA modernization initiatives. The role blends independent solution architecture with AI governance to ensure feasible, secure, and compliant designs within VA constraints.

This is a hybrid role with roughly 25% onsite presence at LMI Tysons or Washington, DC. The successful candidate will translate policy and governance expectations into actionable

Qualifications

• Bachelor's degree in computer science, information systems, engineering, cybersecurity, data science, public policy, risk management, or a related field.
• 10+ years of progressive experience across enterprise/solution architecture, cybersecurity or technology risk, AI governance, or related modernization work.
• Demonstrated solution-architecture depth across applications, APIs/integration, data, cloud/platform, identity, security, and operational support.
• Demonstrated experience operationalizing technology or AI governance through risk tiers, review criteria, control libraries, decision records, approval processes, or lifecycle governance.
• Strong working knowledge of AI/ML and generative-AI lifecycle concepts, data quality, model limitations, human oversight, privacy, security, and post-deployment monitoring.
• Proven ability to translate policy, regulatory guidance, enterprise standards, and risk requirements into practical technical controls and architecture decisions.
• Experience assessing cloud, SaaS, low-code, custom-development, integration, and data-platform options for interoperability, supportability, security, maintainability, and enterprise fit.
• Experience in federal or regulated environments where identity, authorization, records, accessibility, privacy, security, and operational approval constraints affect design.
• Strong executive and technical communication skills, including architecture diagrams, option analysis, decision records, risk narratives, and concise documentation of assumptions.
• Certifications: TOGAF, Azure Solutions Architect Expert, AWS Solutions Architect Professional.

Responsibilities

• Lead independent solution-architecture and AI/technology-governance review 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, data sensitivity, and impact.
• Translate VA and federal policy, responsible-AI expectations, cybersecurity/privacy requirements into practical architecture requirements and controls.
• Review higher-risk AI, data, clinical, identity, automation, and workflow use cases and escalate when needed.
• Shape major technical tradeoffs across applications, APIs/integration, data, cloud/platform, identity, low-code, automation, and AI patterns.
• Define non-functional requirements covering interoperability, data protection, identity, logging/auditability, observability, resilience, accessibility, and oversight.
• Maintain architecture decision records, governance assessments, approvals, exceptions, risk treatments, owners, and unresolved questions.
• Develop reusable reference architectures, governance checklists, and templates to accelerate VA initiatives.
• Facilitate architecture and 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 constraints.
• Assess technical debt, vendor lock-in, sustainment, and post-deployment monitoring before major decisions are finalised.
• Support implementation and readiness reviews to confirm governance assumptions remain valid as solutions scale.
• Track recurring governance findings and propose shared services or standards to reduce one-off designs.

Skills

Executive communication

Governance risk

AI governance

Architecture depth

Security compliance

Cloud architecture

Education

Bachelor's degree (CS/engineering/IT)

TOGAF

Azure Solutions Architect Expert

AWS Solutions Architect Professional

Job description

LMI Government Consulting is seeking a Cyber Systems Engineer/AI Governance Lead/Solutions Architect to provide senior technical leadership for VA modernization initiatives. The role blends independent solution architecture with AI governance to ensure feasible, secure, and compliant designs within VA constraints.

This is a hybrid role with roughly 25% onsite presence at LMI Tysons or Washington, DC. The successful candidate will translate policy and governance expectations into actionable