Chief Solution Architect

Responsibilities

• Provide overall technical leadership and architectural governance for the application maintenance and modernization program
• Serve as the principal technical authority across all project teams
• Establish and maintain enterprise architecture standards
• Guide the modernization strategy from legacy on-premise systems to AWS cloud services
• Ensure technical decisions align with both immediate operational needs and long-term strategic objectives
• Collaborate closely with government technical leads
• Review and approve major architectural decisions
• Oversee technical risk management
• Ensure that all solutions comply with federal security requirements and GSA enterprise architecture standards while optimizing for performance, scalability, and cost-effectiveness

Requirements

• Bachelor's degree in Computer Science, Information Systems, or related technical field
• AWS Certified Solutions Architect Professional certification
• Minimum 8 years' experience in one or more architecture domains (e.g., business architecture, solutions architecture, application architecture)
• Advanced knowledge and experience in one or more current programming languages (e.g., Java, JavaScript (including AngularJS), Python, Rust, Go, or PHP)
• Experience defining the architecture of cloud deployed applications (AWS preferred)
• Expertise in service-oriented architecture, web services, and Application Programming Interfaces
• Experience defining and driving SecDevOps best practices within large teams, including AI assisted code development
• Experience establishing legacy modernization and migration technical roadmaps for large scale applications
• Experience building applications using service-oriented, microservice, and/or API based architectures at an enterprise scale
• Experience with event-driven applications using queues, service bus and other related patterns
• Experience in working closely with technical leads, engineering teams and architecture stakeholders for technical issues and architecture framework capabilities for use by other development teams
• Ability to translate technically complex features into plain language for leadership
• Experience with AI RAG/LLM implementations and experience implementing and successfully leveraging agentic AI to accelerate software development.