Would you like to help the largest Private Equity (PE) firms and their portfolio companies derive transformative business value through Generative AI and Artificial Intelligence Are you excited to build relationships with technical leaders C-level executives and operating partners across the PE ecosystem while working at the forefront of GenAI innovation
At Amazon Web Services (AWS) we are leading the GenAI revolution helping PE firms and their portfolio companies build AI agents implement AI-powered workflows and transform their businesses with leading AI technologies. The Private Equity AI Solutions Architecture team is a diverse group of technologists who pride ourselves on being customer obsessed and innovation-driven.
As a PE AI Solutions Architect you will be the primary GenAI specialist enabling PE firms and their portfolio companies to leverage Generative AI Machine Learning and Deep Learning to solve business challenges and accelerate strategic initiatives. You will work with AWSs comprehensive AI portfolio including Amazon Bedrock Amazon SageMaker Amazon Quick Suite and other AWS AI services.
Key job responsibilities
Partner with Private Equity firms and their portfolio companies to understand business requirements and design AI/ML solutions using AWS AI Services Platforms and Frameworks
Lead complex multi-phase projects with autonomy and discretion working with multiple customer and AWS teams to deliver business outcomes
Guide customers in architecting enterprise-grade GenAI solutions including AI agents RAG applications and AI-powered workflows
Design and architect end-to-end AI/ML solutions from data aggregation through model deployment and production maintenance
Provide expertise on modern GenAI architectures including foundation models prompt engineering and agentic AI systems
Develop and deliver technical workshops and presentations on AWS AI capabilities to PE firms and portfolio companies
Collaborate with AWS specialist teams and system integrators to deliver comprehensive solutions
- Experience in computer architecture or experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
- 5 years of building machine learning models or developing algorithms for business application experience
- Bachelors degree or above in computer science engineering mathematics or equivalent or Bachelors degree
- Travel up to 50% of the time
- Experience leading workshops or technical enablement programs
- Experience working in (or with) Private Equity firms Hedge Funds or Investment Banking specifically defining technology strategy or IT implementations/integrations related to Mergers and Acquisitions
- Masters degree or equivalent in computer science machine learning engineering or related fields or PhD
- AWS Certifications - Machine Learning Specialty Solutions Architect Professional
- Experience with AWS AI services such as Amazon Bedrock (including AgentCore) Amazon SageMaker Kiro and Amazon Quick Suite AWS Transform Strands Agents
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at NY New York - 169000.00 - 228600.00 USD annually