GTA - Senior Cloud AI Architect

Short 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.

Complete Description:

• MUST be local to Metro Atlanta**
  
  

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 GCP).