AWS Architect - Atlanta, GA

Overview

Hybrid
74
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

Amazon Web Services
Artificial Intelligence
Cloud Computing
Public Sector
Regulatory Compliance

Job Details

AWS Certification copy must for submission

 

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 — 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.

 

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. 

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