Global GenAI Solutions Architect for Bedrock

Amazon Web Services (AWS); Seattle (WA); On-site; USD 154,000 - 208,000; Full time

Job summary

AWS is seeking a Senior Solutions Architect to act as SME for GenAI solutions within the Bedrock ecosystem in Seattle. You will guide customers in designing and optimizing GenAI-powered architectures, collaborating with global GenAI architects, ML engineers and data scientists to drive adoption of AWS AI platforms.

You will develop white papers, reference implementations and field enablement materials, and you will help translate customer feedback into product and engineering requirements for

Qualifications

• 8+ years across software, cloud, security, data analytics, or related tech domains.
• 3+ years in design/implementation/consulting for apps and infrastructure.
• 7+ years IT development or deployment in software or Internet industries.
• Experience leading architecture and development of GenAI systems.
• Experience with LLMs and custom model fine-tuning.
• Strong ML fundamentals incl. training/inference lifecycles and optimization.
• Proficiency in prompt engineering and agent/workflow orchestration.

Responsibilities

• Thought Leadership: evangelize AWS GenAI services and share best practices.
• Partner with SAs, Sales, and AI/ML teams to accelerate customer adoption.
• Act as technical liaison between customers and Bedrock service teams.
• Develop and support an internal AWS ML subject matter expert network.
• Create field enablement materials for SAs on GenAI integration.
• Implement and deploy state-of-the-art ML algorithms for GenAI use cases.

Skills

GenAI architecture

LLM & model fine-tuning

Prompt engineering

Machine learning fundamentals

System design & deployment

Cloud computing

Multimodal AI

Communication skills

Tools

PyTorch

Job description

AWS is seeking a Senior Solutions Architect to act as SME for GenAI solutions within the Bedrock ecosystem in Seattle. You will guide customers in designing and optimizing GenAI-powered architectures, collaborating with global GenAI architects, ML engineers and data scientists to drive adoption of AWS AI platforms.

You will develop white papers, reference implementations and field enablement materials, and you will help translate customer feedback into product and engineering requirements for