Senior Cloud AI Architect (On-Site) - Location: Atlanta, GA (In-Person) - Only locals (GA) with valid DL copy.

Job Title: Senior Cloud AI Architect (On-Site)

Location: Atlanta, GA (Webcam/In-Person)
Job Type: Long-Term Contract

Note: Candidates must be local to the Metro Atlanta area and available for on-site work.

Position Overview

We are seeking an experienced Senior Cloud and AI Architect to design and implement secure, scalable, and ethical AI-driven solutions supporting digital transformation initiatives. This role combines deep expertise in cloud architecture (AWS preferred) with advanced skills in AI/ML, NLP, and data-driven system design. The ideal candidate will provide architectural leadership, mentor other architects, and collaborate with stakeholders across multiple projects to deliver innovative, compliant, and high-impact solutions.

Key Responsibilities

• Design and implement enterprise-grade cloud and AI/ML architectures that meet performance, scalability, and security requirements.
• Develop architecture blueprints and evaluate solutions across private, public, and hybrid cloud models (IaaS, PaaS, SaaS).
• Architect and deliver ethical AI/ML solutions, including model lifecycle management, monitoring, and bias mitigation.
• Collaborate with cross-functional teams to modernize applications and integrate AI capabilities into enterprise systems.
• Evaluate and recommend AI platforms, frameworks, and tools (e.g., AWS SageMaker, Azure ML, Google Vertex AI, PyTorch).
• Ensure compliance with industry security and governance standards such as FedRAMP, FISMA, NIST AI RMF, and NIST 800-53.
• Support enterprise digital transformation programs and provide mentorship to junior architects and development teams.
• Prepare and maintain architectural documentation, roadmaps, and reports for ongoing initiatives.

Minimum Qualifications

• Bachelor s degree in Information Technology, Computer Science, Data Science, or related discipline (or equivalent experience).
• 10+ years of overall IT experience, with 5+ years in enterprise-level architecture and 5 8 years in hands-on technical application architecture, including system build and modernization.
• Strong experience designing and programming applications within AWS environments.
• Proven expertise in AI/ML solution design, including natural language processing, machine learning, and deep learning.
• Solid understanding of cloud architecture principles, integration frameworks, and security best practices.

Preferred Qualifications

• AWS Certified Solutions Architect (required or must be willing to obtain).
• Experience working with state, local, or public sector organizations.
• Background in AI ethics, bias mitigation, and responsible AI frameworks.
• Experience developing chatbots, generative AI (GenAI), and LLM (Large Language Model) solutions for enterprise or government use cases.
• Familiarity with enterprise integration, data governance, and security compliance standards.
• Certifications in Cloud Architecture or AI specialties (AWS, Azure, Google Cloud Platform).
• Prior involvement in federal or municipal digital transformation projects.

Key Skills Summary