GTA - Senior Cloud AI Architect
Listed on 2025-12-23
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IT/Tech
AI Engineer, Cloud Computing, IT Consultant, Machine Learning/ ML Engineer
Job Summary
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. The architect communicates with stakeholders at all levels, supports multiple teams and projects, and mentors other architects.
A key responsibility is to work with GTA to design, develop, and implement IT architecture, AWS cloud implementations, and advanced AI/ML solutions across State Agencies.
- Plan and schedule team resources, status reporting, and completion of required documentation for team assignments and projects.
- Analyze and develop work or project plans for team assignments.
- Analyze and implement solutions.
- Supervise subordinates.
- Collaborate with GTA to design, develop, and implement IT architecture, AWS cloud deployments, and advanced AI/ML solutions across State Agencies.
- 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, including application build and modernization.
- Extensive experience architecting, designing, and programming applications to operate in AWS environments.
- Knowledge of designing and implementing secure, scalable, and ethical AI/ML solutions in public or hybrid environments.
- Develop solutions architecture and evaluate architectural alternatives for private, public, and hybrid cloud models (IaaS, PaaS, etc.).
- Proven experience in designing and implementing secure, scalable, and ethical AI/ML solutions, leveraging public cloud or hybrid environments.
- Strong technical expertise in machine learning, deep learning, and natural language processing.
- Evaluate and recommend AI platforms, frameworks, and tools (e.g., Azure ML, AWS Sage Maker, Google Vertex AI, PyTorch).
- Design secure and compliant AI/ML solutions.
- Minimum Qualifications
- Bachelor’s degree in Information Technology, Computer Science, Data Science, or equivalent work experience.
- At least 5 years of progressive experience with the concepts, philosophies, and tools behind the design of applications, solution architecture, and underlying IT on AWS/Public Cloud and AI/ML platforms.
- Must be local to Metro Atlanta.
- Preferred Qualifications
- AWS Certified Solutions Architect.
- Experience with state and local government is a plus.
- Enterprise‑wide integration experience for both cloud and AI solutions.
- Experience with cutting‑edge AI technologies in developing chatbots and generative AI (GenAI) and LLM deployment for public sector use cases.
- Knowledge of integration standards and best practices for cloud and AI systems.
- Understanding of public sector security and compliance standards (e.g., FedRAMP, FISMA, NIST AI RMF, NIST 800-53).
- Experience with AI ethics, bias mitigation, and responsible AI frameworks.
- Prior work with federal, state, or municipal digital transformation programs.
- Certification in cloud architecture or AI specialties (AWS, Azure, or GCP).
Location:
Atlanta, GA
• Salary: $–$
•
Employment Type:
Full-time
• Seniority Level: Mid‑Senior level
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