AmazonPosted 1mo ago

Private Equity Principal AI SA, AWS Private Equity

Private Equity Principal AI SA, AWS Private Equity at Amazon scores 72 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

US, NY, New Yorkleadfull-time$201k-$272k

AI in this role

bedrockreplicatesagemaker

ragai-agents

Would you like to shape how 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 and influence relationships with technical leaders, C-level executives, and operating partners across the PE ecosystem while defining the strategic direction of GenAI adoption at scale?

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 Principal PE AI Solutions Architect, you will be a strategic technical leader and the foremost GenAI authority enabling PE firms and their portfolio companies to leverage Generative AI, Machine Learning, and Deep Learning to solve complex business challenges and accelerate portfolio-wide strategic initiatives. You will define scalable AI adoption frameworks, influence AWS service roadmaps based on PE customer needs, and drive cross-organizational alignment across AWS specialist teams. You will work with AWS's comprehensive AI portfolio including Amazon Bedrock, Amazon SageMaker, Amazon Quick Suite, and other AWS AI services, while mentoring other solutions architects and raising the technical bar across the team.

Key job responsibilities
Define the strategic technical vision for AI/ML adoption across Private Equity firms and their portfolio companies, establishing scalable frameworks and reusable patterns that accelerate value realization across entire portfolios

Own and drive the most complex, ambiguous, multi-stakeholder engagements end-to-end, setting technical direction across multiple customer and AWS teams while influencing long-term investment decisions

Architect enterprise-grade GenAI solutions including AI agents, RAG applications, and AI-powered workflows, establishing reference architectures and best practices that scale across the PE ecosystem

Design end-to-end AI/ML solutions from data aggregation through model deployment and production maintenance, defining architectural standards that other solutions architects can replicate

Shape AWS's GenAI strategy for PE by providing feedback to service teams on customer needs, influencing product roadmaps, and identifying gaps in AWS's AI portfolio

Develop thought leadership content, deliver executive-level technical presentations, and represent AWS at industry events to establish AWS as the platform of choice for PE AI transformation

Drive cross-organizational collaboration across AWS specialist teams, system integrators, and partner organizations, building mechanisms that improve delivery at scale

Mentor and develop solutions architects across the team, raising the technical bar through design reviews, knowledge sharing, and hands-on guidance

About the team
Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Basic qualifications

- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications

Preferred qualifications

- Knowledge of distributed systems design and implementation or equivalent
- Knowledge of large scale automation and workflow management or equivalent
- Knowledge of database design and implementation or equivalent
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud

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 - 201,000.00 - 272,000.00 USD annually

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RagAI AgentsBedrockReplicateSagemaker

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
What are the limits of Bedrock that you've run into, and how did you work around them?
What's a project where you used Replicate hands-on?
Walk me through how you've used Sagemaker in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Rag, AI Agents, Bedrock, Replicate, and Sagemaker. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

Want your resume actually rewritten for this job?

The free preview above is everything we have today. A full resume rewrite is not live yet and has no price set. Join the waitlist and we will email you if we open it.