Overview:
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 Google Cloud Platform).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 Google Cloud Platform). (PLS UPLOAD CERTIFICATION) Highly desired
Skills:
Experience with the concepts,philosophies,and tools behind the design of applications,solution architecture,and underlying information technologie,Enterprise,full-life cycle architecture experience in the professional IT/Software Development services industry.,Hands-on technical application architecture experience,including application build and modernization.,Evaluating architectural alternatives for private,public,and hybrid cloud models (IaaS,PaaS,and other cloud services),Experience with cutting-edge AI technologies in developing chatbots and generative AI (GenAI) and LLM deployment for public sector use cases.,Experience with AI ethics,bias mitigation,and responsible AI frameworks,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,AWS Certified Solutions Architect (PLS UPLOAD CERTIFICATION),Bachelor's degree in information technology,Computer Science,Data Science,or an equivalent work experience.,Experience with state and local Government is a plus.,Certification in cloud architecture or AI specialties (AWS,Azure,or Google Cloud Platform). (PLS UPLOAD CERTIFICATION)
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.
- Dice Id: 10230070
- Position Id: 3c2face519f268c1a05cb99b3f60874
- Posted 2 days ago
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