Description

You will design and build complex, scalable AI solutions across cloud environments.

Responsibilities

• Architect, design, and program applications to operate within AWS environments.
• Develop solutions architecture and evaluate alternatives for private, public, and hybrid cloud models (IaaS, PaaS).
• Design and implement secure, scalable, and ethical AI/ML solutions using public or hybrid cloud infrastructure.
• Evaluate and recommend appropriate AI platforms, frameworks, and tools.
• Design secure and compliant AI/ML solutions adhering to relevant governance standards.

Required Skills

• 10+ years of overall experience, including 5+ years in enterprise, full-life cycle architecture.
• 5-8 years of hands-on technical application architecture experience, including application build and modernization.
• Strong technical expertise in machine learning, deep learning, and natural language processing.
• Experience architecting solutions leveraging AWS, Azure, and GCP.
• Familiarity with AI platforms such as Azure ML, AWS SageMaker, and Google Vertex AI.
• Knowledge of security and compliance standards including FedRAMP, FISMA, and NIST AI RMF.
• Experience designing solutions for public, private, and hybrid cloud deployments.

Key Skills

Education

Any Gradute