Overview
On Site
$60 - $70
Contract - Independent
Contract - W2
Skills
Amazon Web Services
Artificial Intelligence
Cloud Architecture
Cloud Computing
Enterprise Architecture
Generative Artificial Intelligence (AI)
IaaS
Machine Learning (ML)
Microsoft Azure
Natural Language Processing
PaaS
Software Architecture
Software Development
Solution Architecture
Use Cases
Job Details
Position Title: Senior Cloud AI Architect
Location: Atlanta, GA
Must Have Skills: AWS, Design, Solution Architecture
Job Description:
Required Education:
Bachelor's degree in information technology, Computer Science, Data Science, or an equivalent work experience.
Required Certification:
Certification in cloud architecture or AI specialties (AWS, Azure, or Google Cloud Platform). (PLS UPLOAD CERTIFICATION)
AWS Certified Solutions Architect (PLS UPLOAD CERTIFICATION)
Required Skills:
Experience with the concepts, philosophies, and tools behind the design of applications, solution architecture, and underlying information technologie (5 Years)
Enterprise, full-life cycle architecture experience in the professional IT/Software Development services industry. (5 Years)
Hands-on technical application architecture experience, including application build and modernization. (5 Years)
Experience with state and local Government is a plus.
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
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.
Bachelor's degree in information technology, Computer Science, Data Science, or an equivalent work experience.
Required Certification:
Certification in cloud architecture or AI specialties (AWS, Azure, or Google Cloud Platform). (PLS UPLOAD CERTIFICATION)
AWS Certified Solutions Architect (PLS UPLOAD CERTIFICATION)
Required Skills:
Experience with the concepts, philosophies, and tools behind the design of applications, solution architecture, and underlying information technologie (5 Years)
Enterprise, full-life cycle architecture experience in the professional IT/Software Development services industry. (5 Years)
Hands-on technical application architecture experience, including application build and modernization. (5 Years)
Experience with state and local Government is a plus.
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
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.
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.