Description

You will design and implement secure, scalable AI/ML solutions using AWS, Azure, and GCP environments. You will lead enterprise architecture for full-lifecycle application modernization and cloud integration.

This role is on-site.

Responsibilities

• Architect and deploy AI/ML solutions leveraging public cloud or hybrid models (IaaS, PaaS).
• Design secure, compliant, and ethical AI systems for public sector use cases, including GenAI and LLMs.
• Evaluate and recommend AI platforms, frameworks, and tools such as Azure ML, AWS SageMaker, and Google Vertex AI.
• Drive enterprise-wide integration of cloud and AI solutions across state and local government entities.
• Ensure adherence to public sector security standards including FedRAMP, FISMA, NIST AI RMF, and NIST 800-53.

Required Skills

• 10+ years of overall experience, including 5+ years in enterprise, full-lifecycle architecture within IT services.
• 5-8 years of hands-on technical application architecture, build, and modernization experience.
• Extensive expertise in designing applications for AWS environments.
• Strong technical background in machine learning, deep learning, and natural language processing.
• Experience with AI ethics, bias mitigation, and responsible AI frameworks.
• Knowledge of integration standards and best practices for cloud and AI systems.
• Bachelor’s degree in Information Technology, Computer Science, Data Science, or equivalent work experience.

Preferred Skills

• AWS Certified Solutions Architect certification.
• Experience with state and local Government digital transformation programs.
• Certification in cloud architecture or AI specialties (Azure, GCP).

Key Skills

Education

Bachelor's degree