Senior AI Solutions Architect

Pay Range: $58.47hr - $100.29hr Job Overview: Lead hands-on solution architecture for Engineering Services platforms and managed business services. Partner with service owners and customers to identify where AI or simpler automation adds value, then guide design, engineering, and reliable operation of those capabilities. Purpose of the Role: Lead hands-on solution architecture for Engineering Services (ES) platforms and managed business services.

Specific Responsibilities: Partner with ES service owners, Technical Operations, and business unit stakeholders to understand service requirements, operational friction, and customer outcomes; assess where AI is appropriate. Define use cases and success criteria; assess feasibility, value, cost, risk, and reuse before recommending experiments or enhancements to existing and new ES services. Architect AI-enabled capabilities within ES cloud, identity, API/MCP, integration, connectivity, and observability services; apply secure, reusable enterprise patterns.

Lead hands-on evaluations and prototypes; guide solution development and integration through production readiness, with clear engineering acceptance criteria. Design for secure, supportable operations with service engineering and Technical Operations: evaluation, telemetry, access controls, runbooks, incident response, and rollback. Present evidence-based options to ES and business unit leaders, explaining service value, reliability, AI quality, cost, privacy, and human-oversight tradeoffs.

Lead cross-functional architecture reviews and mentor engineers; coordinate solution delivery with business unit technical teams, Security, and CIO Analytics on dependent applications and integrations. Translate architecture into demonstrable outcomes, communicate delivery risks, and maintain clear service and platform accountability.

Requirements: Bachelor's degree in computer science, information technology, engineering, or equivalent professional experience. 7+ years in software, platform, integration, or solutions architecture roles, with hands-on production engineering, technical leadership, and service-provider or customer-facing experience. Applied AI solution design: LLM workflows, retrieval when appropriate, tool/agent integration, quality evaluation, model-selection tradeoffs, and non-AI alternatives.

Enterprise service integration: Cloud architecture, REST APIs, MCP, identity and authorization, operations tooling, and reusable platform and service patterns. Security and service reliability: Data protection, threat modeling, auditability, observability, resiliency, human oversight, and production readiness. Engineering and advisory: Python or TypeScript prototypes, architecture decision records, delivery tradeoffs, collaboration with service owners, and cross-team facilitation.

Preferred Experience: AWS AI services, Claude, Kong Konnect AI/MCP integration, Client or CloudWatch, CI/CD, and engineering managed services in a regulated enterprise.

Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location.

Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada.

We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers.

Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.