Senior AWS Solutions Architect — AI/ML & Cloud Strategy

Amazon Inc.; San Francisco (CA); On-site; USD 177,000 - 239,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services, Inc. is seeking a Solutions Architect III for the Salesforce Account Team in San Francisco, CA.

You will design cloud-based AI/ML solutions, partner with customers to align architectures with business goals, and guide stakeholders through trade-offs, governance, security, and cost optimization. You will lead workshops, develop reusable artifacts, and collaborate with sales, engineering, and services teams to accelerate AI/ML adoption while maintaining a strong focus on

Qualifications

• 5+ years in technology domains (software/cloud/infrastructure).
• 3+ years in design/implementation in applications or infrastructures.
• 8+ years in IT development or consulting in software/Internet sectors.
• Experience with ML/LLM fundamentals and lifecycle.
• Experience with a major cloud platform and AI/ML services.

Responsibilities

• Design end-to-end AI/ML solutions balancing business needs and technical depth.
• Advise leadership on data, technology challenges, and AI strategy.
• Lead technical AI/ML solution discussions with customer teams.
• Develop and deliver workshops, labs, and reference architectures.
• Collaborate with sales, engineering, services, science, and product teams.

Skills

Cloud computing

Machine Learning

Software development lifecycle

LLM fundamentals

AI/ML architecture

Tools

SageMaker

Bedrock

Job description

Amazon Web Services, Inc. is seeking a Solutions Architect III for the Salesforce Account Team in San Francisco, CA.

You will design cloud-based AI/ML solutions, partner with customers to align architectures with business goals, and guide stakeholders through trade-offs, governance, security, and cost optimization. You will lead workshops, develop reusable artifacts, and collaborate with sales, engineering, and services teams to accelerate AI/ML adoption while maintaining a strong focus on