Senior Cloud AI Architect

Job Overview

Requirement/Must Have:

• 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.

Nice to Have:

• 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).

Qualification And Education:

• 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.