AI/ML Cloud Solutions Delivery Architect

Amazon Web Services (AWS); Seattle (WA); On-site; USD 131,000 - 178,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon Web Services, Inc. is seeking a Delivery Consultant to design, implement, and manage AWS solutions that meet customers' technical and business goals. You will drive customer success through the cloud journey, providing guidance on architecture, best practices, and risk management.

You will lead the implementation of scalable GenAI/ML solutions, collaborate with stakeholders to refine requirements, and mentor teams to accelerate knowledge transfer across customer engagements.

Qualifications

• Experience developing software in one or more programming languages (Java, Python, etc.)
• Bachelor's degree in computer science or equivalent
• 3+ years of cloud architecture and solution implementation experience
• 2+ years hosting GenAI/ML solutions (training, fine tuning, inferences)

Responsibilities

• Design, implement, and build scalable GenAI/ML applications on AWS tailored to customer needs
• Provide technical guidance and implementation support throughout project delivery with focus on AWS AI/ML services
• Collaborate with stakeholders to gather requirements and propose deployment strategies
• Act as trusted advisor on industry trends and emerging technologies
• Share knowledge through mentoring and creating reusable artifacts

Skills

Programming languages

Education

Bachelor's degree in computer science or equivalent

Master's degree in computer science or related field

PhD

Job description

Amazon Web Services, Inc. is seeking a Delivery Consultant to design, implement, and manage AWS solutions that meet customers' technical and business goals. You will drive customer success through the cloud journey, providing guidance on architecture, best practices, and risk management.

You will lead the implementation of scalable GenAI/ML solutions, collaborate with stakeholders to refine requirements, and mentor teams to accelerate knowledge transfer across customer engagements.