Senior Cloud AI Architect - Atlanta, GA

Overview

On Site
$DOE
Accepts corp to corp applications
Contract - W2
Contract - of Contract

Skills

AWS
Azure
ML
Senior Could AI Architect
GCP Cloud

Job Details

Job Title: Senior Cloud AI Architect
Location: Atlanta, GA (Must be local to Metro Atlanta)
Long Term Contract
Looking for W2 Candidates Only. No C2C

Job Description:

  • The Senior Cloud and AI Architect is an advanced-level professional responsible for designing and implementing secure, scalable, and ethical AI solutions to support government and public service missions.
  • This role requires strong expertise in AI/ML, cloud architecture, and solution design.
  • The architect will collaborate with GTA to design, develop, and implement IT architecture, AWS solutions, and advanced AI/ML capabilities across State
  • Agencies. Responsibilities include planning resources, analysing and developing project plans, implementing solutions, and supervising team members.

Core Qualifications:

  • 10+ years overall experience, including 5 years minimum in enterprise full lifecycle architecture.
  • 5 8 years hands-on technical application architecture, including modernization.
  • Extensive experience architecting, designing, and programming applications for AWS.
  • Experience developing solution architectures for private, public, and hybrid cloud models (IaaS, PaaS).
  • Proven experience designing secure, scalable, and ethical AI/ML solutions.
  • Strong expertise in machine learning, deep learning, NLP.
  • Ability to evaluate and recommend AI platforms/tools (Azure ML, AWS SageMaker, Google Vertex AI, PyTorch).
  • Experience designing secure and compliant AI/ML solutions in cloud or hybrid environments.

Agency Minimum Qualifications:

  • Bachelors in IT, Computer Science, Data Science, or related field.
  • 5+ years progressive experience in application design, solution architecture, AWS/Public Cloud, and AI/ML platforms.

Preferred Qualifications:

  • AWS Certified Solutions Architect.
  • Experience with state or local government.
  • Enterprise-wide integration experience (cloud + AI).
  • Experience developing chatbots, Generative AI (GenAI), LLM deployments for public sector.
  • Knowledge of cloud + AI integration standards and best practices.
  • Understanding of public sector security/compliance (FedRAMP, FISMA, NIST AI RMF, NIST 800-53).
  • Experience with AI ethics, bias mitigation, responsible AI.
  • Prior work with government digital transformation programs.
  • Certifications in AWS, Azure, or Google Cloud Platform cloud/AI specialties.

Best Regards:

Tina
Phone:
Email:

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