AI/ML Solutions Architect, AWS Generative AI
Overview
As an AI/ML Solutions Architect at AWS, you will own technical designs for enterprise customers adopting Amazon Bedrock, SageMaker, and AgentCore. You will partner with ISVs and field teams to build ML pipelines and drive GenAI adoption across the AMERICAS. You will author whitepapers and speak at AWS re:Invent to evangelize best practices. This role stands out for its mix of deep technical design and direct influence on AWS product roadmaps.
What You'll Do7
- 1Design end-to-end ML solutions using Amazon SageMaker, Amazon Bedrock, and AgentCore to meet customer business goals
- 2Partner with SAs and Sales to accelerate adoption of AWS AI/ML services in the AMERICAS
- 3Build reference architectures and blog posts that showcase GenAI patterns with Python and PyTorch
- 4Guide customers on agentic AI frameworks like Strands and Bedrock AgentCore for production workloads
- 5Lead technical workshops at AWS Summit and re:Invent to evangelize ML best practices
- 6Serve as the voice of the customer to AWS service teams, submitting feature requests that shape product roadmaps
- 7Mentor field teams on AWS AI/ML offerings and share proven solutions across the internal community
Requirements8
- 110+ years in IT development or consulting within software or internet industries
- 24+ years in cloud computing, systems engineering, or data analytics
- 32+ years designing and implementing AI/ML solutions on AWS
- 4Deep expertise in Amazon Bedrock, SageMaker, and AgentCore
- 5Proven ability to build complex ML models with Python and PyTorch or TensorFlow
- 6Experience migrating legacy systems to cloud-native architectures
- 7Strong understanding of agentic AI, including tool usage and evaluation frameworks
- 8Willingness to travel up to 50% across the USA
Salary Insight
$131 - $204k per year
Location
Required Skills
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