Sr Cloud Architect

GlobalPoint; Atlanta (GA); On-site; USD 120,000 - 150,000; Full time

Job summary

GlobalPoint is seeking a Senior Cloud and AI Architect with significant experience in designing AI solutions for government and public service missions. The role requires deep expertise in cloud platforms and a strong understanding of machine learning. The ideal candidate will mentor other architects, communicate with stakeholders, and be responsible for implementing secure AI solutions across State Agencies.

A Bachelor's degree and extensive experience in IT architecture and AWS environments are essential. This is a key role to improve citizen engagement through data-informed decisions.

Qualifications

• 10+ years of overall experience in IT/Software Development.
• 5-8 years of hands-on technical application architecture experience.
• Extensive experience architecting applications for AWS.
• Proven experience in designing secure, scalable AI/ML solutions.

Responsibilities

• Create designs for secure AI solutions for government missions.
• Mentor other architects and support multiple teams.
• Communicate with stakeholders at all levels.
• Design and implement IT architecture and AWS cloud solutions.

Skills

AI/ML expertise

Architecture leadership

Cloud platforms experience

Machine learning

Deep learning

Natural language processing

AWS environments

Education

Bachelor's degree in Information Technology, Computer Science, or Data Science

Tools

AWS SageMaker

Azure ML

Google Vertex AI

PyTorch

Job description

Overview

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 all while maintaining compliance, transparency, and trust. This position requires advanced skills in multiple areas of architecture, with expert or specialized knowledge in cloud platforms and AI. The architect will communicate with stakeholders at all levels, support multiple teams and projects, and mentor 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.

Long term

• MUST be local to Metro Atlanta

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, including application build and modernization.

Extensive experience architecting, designing, and programming applications to operate in AWS environments.

Experience in developing solutions architecture and evaluating architectural alternatives for private, public, and hybrid cloud models (IaaS, PaaS, and other cloud services).

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 SageMaker, Google Vertex AI, PyTorch).

Design secure and compliant AI/ML solutions leveraging public cloud or hybrid environments.

Agency Specific Qualifications

Minimum Qualifications:
Must Meet One Of The Following Requirements

• Bachelor\'s degree in Information Technology, Computer Science, Data Science, or an equivalent work experience.

Preferred Qualifications

At least 5 years of progressive experience with the concepts, philosophies, and tools behind the design of applications, solution architecture, and underlying information technologies on AWS/Public Cloud and AI/ML platforms.

• 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).