Senior Cloud Architect

Responsibilities

• Design enterprise-scale cloud and AI solution architectures.
• Lead application modernization initiatives on AWS.
• Arcitect secure, scalable, and highly available cloud-native applications.
• Design and implement AI/ML solutions using public cloud and hybrid environments.
• Develop Generative AI, chatbot, and Large Language Model (LLM) solutions.
• Evaluate cloud architecture alternatives across IaaS, PaaS, and hybrid cloud platforms.
• Recommend AI platforms and frameworks including AWS SageMaker, Azure ML, Google Vertex AI, and PyTorch.
• Ensure AI solutions align with responsible AI principles, ethics, bias mitigation, and governance.
• Collaborate with cross-functional teams throughout the software development lifecycle.
• Mentor technical teams and provide architectural guidance.
• Support enterprise integration, cloud migration, and digital transformation initiatives.
• Ensure compliance with security and regulatory standards.

Required Qualifications

• 10+ years of overall IT experience with application architecture and solution design.
• Minimum 5 years of enterprise full lifecycle architecture experience.
• 5+ years of hands-on application architecture, cloud implementation, and modernization.
• Strong experience architecting applications on AWS.
• Experience evaluating public, private, and hybrid cloud solutions (IaaS, PaaS).
• 3+ years designing and implementing AI/ML solutions.
• Experience with Generative AI, chatbots, and LLM deployments.
• Strong knowledge of machine learning, deep learning, and natural language processing.
• Experience with AI platforms such as: - AWS SageMaker
• Azure Machine Learning
• Google Vertex AI
• PyTorch
• Experience designing secure and compliant AI solutions.
• Knowledge of AI ethics, responsible AI, and bias mitigation frameworks.
• Strong understanding of enterprise architecture principles and software development lifecycle.
• Bachelor's degree in Computer Science, Information Technology, Data Science, or equivalent experience.

Preferred Qualifications

• AWS Certified Solutions Architect (Certification Required).
• Additional Cloud or AI certifications (AWS, Azure, or Google Cloud Platform).
• Experience with enterprise cloud and AI integrations.
• Experience with public sector or government environments.
• Familiarity with security and compliance frameworks such as: - FedRAMP
• FISMA
• NIST AI RMF
• NIST 800-53
• Experience supporting enterprise digital transformation initiatives.

Required Skills

• AWS Cloud Architecture
• Solution Architecture
• Enterprise Architecture
• Application Modernization
• Generative AI (GenAI)
• Large Language Models (LLMs)
• Chatbots
• AWS SageMaker
• Azure Machine Learning
• Google Vertex AI
• PyTorch
• Machine Learning
• Deep Learning
• Natural Language Processing (NLP)
• AI Governance
• Responsible AI
• Cloud Security
• Hybrid Cloud
• IaaS
• PaaS
• AWS Certified Solutions Architect
• Work Authorization: Authorized to work in the U.S.
• Local Candidates Only: Candidates must currently reside in the Metro Atlanta area and be available to work onsite as required.