Sr Cloud Architect
GlobalPoint · Atlanta, GA · 2 wk ago
On-siteEngineeringFull-time
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
- 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.
- (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).