Senior Cloud AI Architect

Introduction:

The Senior Cloud and AI Architect is an experienced, advanced-level professional responsible for creating the design and implementation of secure, scalable, and ethical AI solutions to support government and public service missions. This role combines deep AI/ML expertise with architectural leadership to modernize public sector operations, improve citizen engagement, and drive data-informed decision-making while maintaining compliance, transparency, and trust.

Responsibilities:

• Design and implement secure, scalable, and ethical AI solutions
• Communicate with stakeholders at all levels
• Support multiple teams and projects
• Mentor other architects
• Work with GTA to design, develop, and implement IT architecture, AWS cloud implementations, and advanced AI/ML solutions across State Agencies

Requirements:

CORE QUALIFICATIONS:

• 10+ years of overall experience, including a minimum of 5 years of enterprise, full-life cycle architecture experience in the professional IT/Software Development services industry
• 5-8 years of hands-on technical application architecture experience
• Extensive experience architecting, designing, and programming applications to operate in AWS environments
• Experience in developing solutions architecture for private, public, and hybrid cloud models
• Proven experience in designing and implementing secure, scalable, and ethical AI/ML solutions
• Strong technical expertise in machine learning, deep learning, and natural language processing
• Evaluate and recommend AI platforms, frameworks, and tools

AGENCY SPECIFIC QUALIFICATIONS:

Minimum Qualifications:

• Bachelor''s degree in Information Technology, Computer Science, Data Science, or equivalent work experience
• At least 5 years of progressive experience with AWS/Public Cloud and AI/ML platforms

Preferred Qualifications:

• AWS Certified Solutions Architect
• Experience with state and local Government
• Enterprise-wide integration experience for cloud and AI solutions
• Experience with cutting-edge AI technologies
• Knowledge of integration standards for cloud and AI systems
• Understanding of public sector security and compliance standards
• Experience with AI ethics and responsible AI frameworks
• Certification in cloud architecture or AI specialties