Senior Cloud AI Architect

Atlanta, GA - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Senior Cloud AI Architect
Location: Atlanta GA (Must be local to Metro Atlanta)
Long Term Contract
Hiring: 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 analyzing 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:

Candidate must meet ONE of the following:
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:

(Preference given to candidates demonstrating the following):
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 GCP cloud/AI specialties

Best Regards:

Tanuja P
Phone: 1-
Email:

Job Title: Senior Cloud AI Architect Location: Atlanta GA (Must be local to Metro Atlanta) Long Term Contract Hiring: 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 ethi...

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

Job Description:

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:

Candidate must meet ONE of the following:
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:

(Preference given to candidates demonstrating the following):
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 GCP cloud/AI specialties