IT Senior Cloud AI Architect (GA802106)

IT Senior Cloud AI Architect (GA802106)
 

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. 
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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).