Urgent : Senior Cloud AI Architect : Atlanta GA

Please find below new requirement

Title/Role: Cloud AI Architect

Worksite address:  Atlanta GA

Interview Type: Either Web Cam or In Person

Work Arrangement: Onsite

Complete Description:

*MUST be local to Metro Atlanta**
 

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).