- 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
- Bachelor's degree or above in computer science, engineering, mathematics or equivalent, or Bachelor's 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
- Master's 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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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 https://amazon.jobs/en/benefits.
USA, NY, New York - 169,000.00 - 228,600.00 USD annually
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 AWS's 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
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