AWS AI/ML Architect

  • Atlanta, GA
  • Posted 14 hours ago | Updated 14 hours ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 8 Month(s)
No Travel Required

Skills

AWS AI/ML Architect
AWS
Azure
GCP
GenAI
LLM
SageMaker
Google Vertex AI
PyTorch
FedRAMP
FISMA
NIST AI RMF
Google Cloud Platform
IaaS
Documentation
Generative Artificial Intelligence (AI)
Good Clinical Practice
IT Architecture
Cloud Computing
Computer Science
Data Science
Decision-making
Deep Learning
Amazon SageMaker
Amazon Web Services
Regulatory Compliance
Risk Management Framework
Natural Language Processing
Public Sector
RTR
Software Architecture
Machine Learning (ML)
Microsoft Azure
NIST 800-53
PaaS
RMF
Artificial Intelligence
Cloud Architecture
Information Technology
Leadership
Mentorship
Software Development
Solution Architecture
Status Reports
Use Cases
Vertex

Job Details

Job ID: GA-780304

Onsite/Local (Atlanta ONLY) AWS AI/ML Architect (AWS/Azure/Google Cloud Platform copy must/12+) with GenAI, LLM, SageMaker/Google Vertex AI/PyTorch, FedRAMP/FISMA/NIST AI RMF, Government experience

Location: Atlanta GA (GTA)
Duration: 8 Months
Position: 1 (2)
*MUST be local to Metro Atlanta**

Skills:
Bachelor s degree in information technology, Computer Science, Data Science, or an equivalent work experience. Required
Experience with the concepts, philosophies, and tools behind the design of applications, solution architecture, and underlying information technologie Required 5 Years
Enterprise, full-life cycle architecture experience in the professional IT/Software Development services industry. Required 5 Years
Hands-on technical application architecture experience, including application build and modernization. Required 5 Years
AWS Certified Solutions Architect (PLS UPLOAD CERTIFICATION) Highly desired
Experience with state and local Government is a plus. Highly desired
Experience with cutting-edge AI technologies in developing chatbots and generative AI (GenAI) and LLM deployment for public sector use cases. Highly desired
Experience with AI ethics, bias mitigation, and responsible AI frameworks Highly desired
Certification in cloud architecture or AI specialties (AWS, Azure, or Google Cloud Platform). (PLS UPLOAD CERTIFICATION) Highly desired

Description:
Plans and schedules team resources, status reporting and completion of required documentation for team assignment and projects. Analyzes and develops work or project plans for team assignments. Analyzes and implements solutions. Supervises subordinates.

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.

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.
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. Preferred Qualifications:
(Preference will be given to candidates who demonstrate some or all of the following skills/experience):
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 Google Cloud Platform).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.