Description

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

Responsibilities

• Architect and design applications for AWS environments.
• Evaluate and recommend AI platforms, frameworks, and tools.
• Design and implement secure, scalable, and ethical AI/ML solutions.
• Evaluate architectural alternatives for private, public, and hybrid cloud models.
• Develop solutions architecture leveraging public cloud or hybrid environments.

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 modernization.
• Extensive experience architecting applications in AWS environments.
• Strong technical expertise in machine learning, deep learning, and natural language processing.
• Experience designing and implementing secure, scalable AI/ML solutions.
• Proficiency with AWS, Azure, GCP, Azure ML, AWS SageMaker, Google Vertex AI, and PyTorch.
• Bachelor's degree in Information Technology, Computer Science, Data Science, or equivalent experience.

Preferred Skills

• AWS Certified Solutions Architect certification.
• Experience with AI ethics, bias mitigation, and responsible AI frameworks.

Key Skills

Education

Bachelor's degree