Senior Cloud AI Architect(Local to GA)

Engagement Type

Contract

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).

Required/Desired Skills

Skill Required/Desired Amount of Experience Experience with the concepts, philosophies, and tools behind the design of applications, solution architecture, and underlying information technologie Required 10.0 Years Enterprise, full-life cycle architecture experience in the professional IT/Software Development services industry. Required 5.0 Years Hands-on technical application architecture experience, including application build and modernization. Required 5.0 Years Evaluating architectural alternatives for private, public, and hybrid cloud models (IaaS, PaaS, and other cloud services) Required 5.0 Years Experience with cutting-edge AI technologies in developing chatbots and generative AI (GenAI) and LLM deployment for public sector use cases. Required 3.0 Years Experience with AI ethics, bias mitigation, and responsible AI frameworks Required 3.0 Years AI platforms, frameworks, and tools (e.g., Azure ML, AWS SageMaker, Google Vertex AI, PyTorch) Required 3.0 Years Design secure and compliant AI/ML solutions leveraging public cloud or hybrid environments Required 3.0 Years AWS Certified Solutions Architect (PLS UPLOAD CERTIFICATION) Required Bachelor//'s degree in information technology, Computer Science, Data Science, or an equivalent work experience. Required Experience with state and local Government is a plus. Highly desired Certification in cloud architecture or AI specialties (AWS, Azure, or GCP). (PLS UPLOAD CERTIFICATION) Highly desired