AWS Cloud AI Architect

2 days ago


Atlanta, Georgia, United States DevCare Solutions Full time $120,000 - $180,000 per year

CORE QUALIFICATIONS:

● 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.

● 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.



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