Description

You will own the design and architecture of complex cloud and AI solutions across hybrid environments.

Responsibilities

• Architect, design, and program applications within AWS environments.
• Develop solutions architecture across private, public, and hybrid cloud models (IaaS, PaaS, SaaS).
• Design and deploy secure, scalable, and ethical AI/ML solutions.
• Evaluate and recommend appropriate AI platforms, frameworks, and tools.
• Design secure and compliant AI/ML architectures in cloud/hybrid environments.

Required Skills

• 10+ years of overall IT experience, including 5+ years of enterprise, full lifecycle architecture.
• 5–8 years of hands-on application architecture experience (build, modernization, transformation).
• Strong experience architecting applications in AWS environments.
• Proven success developing solutions architecture across private, public, and hybrid cloud models.
• Demonstrated experience designing and deploying secure, scalable, and ethical AI/ML solutions.
• Strong expertise in machine learning, deep learning, and natural language processing (NLP).
• Familiarity with AWS, Azure, Gcp, Aws Sagemaker, Azure Ml, Google Vertex Ai, Pytorch.
• Bachelor's degree in Computer Science, Information Technology, Data Science, or related field.

Preferred Skills

• AWS Certified Solutions Architect certification.
• Experience with state or local government environments and FedRAMP/FISMA/NIST compliance.

Key Skills

Education

Bachelor's degree