Description

Design and implement secure, scalable cloud and AI/ML architectures across AWS, Azure, and GCP environments. Own the full lifecycle of application modernization, integration, and deployment for enterprise and public sector clients.

This role is on-site.

Responsibilities

• Architect and design solutions for private, public, and hybrid cloud models (IaaS, PaaS).
• Develop secure, scalable AI/ML solutions leveraging AWS SageMaker, Azure ML, and Google Vertex AI.
• Evaluate and recommend AI platforms, frameworks, and tools such as PyTorch and LLM deployment strategies.
• Ensure compliance with public sector security standards including FedRAMP, FISMA, and NIST.
• Drive enterprise-wide integration of cloud and AI solutions for digital transformation programs.

Required Skills

• 10+ years overall IT experience, including 5+ years in enterprise solution architecture.
• 5-8 years of hands-on application architecture, build, and modernization experience.
• Extensive experience architecting and programming applications in AWS environments.
• Strong expertise in machine learning, deep learning, and natural language processing.
• Proficiency with Azure ML, AWS SageMaker, Google Vertex AI, and PyTorch.
• Bachelor's degree in IT, Computer Science, Data Science, or equivalent experience.

Preferred Skills

• AWS Certified Solutions Architect certification.
• Experience with state, local, or federal government digital transformation programs.
• Knowledge of AI ethics, bias mitigation, and responsible AI frameworks.

Key Skills

Education

Bachelor's degree