Principal Solutions Architect - Private Equity , Global Private Equity Solution Architects

About the role

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This role focuses on helping the largest Private Equity (PE) firms and their portfolio companies leverage generative AI and cloud technology to improve operations, accelerate value creation, and drive EBITDA growth. You will work directly with PE firms, their portfolio companies, and consulting partners to drive adoption of technology, including generative AI, agentic AI, and foundation-model-based solutions, to achieve operational and financial business outcomes.

You will provide thought leadership on how generative AI reshapes cost structures, "AI tokenomics," and operating leverage across a PE portfolio. The ideal candidate will possess a technical background enabling engagement with business, finance, or IT executives at the highest levels of PE customers, with the ability to communicate the benefits of cloud computing and generative AI to diverse technical and non-technical audiences.

Responsibilities

• Partner with Private Equity leaders and portfolio company executives to develop and execute cloud transformation strategies that drive value creation and align with investment theses.
• Provide technical leadership across portfolio companies' cloud initiatives, including architecture reviews, technology stack optimization, and application modernization.
• Serve as a trusted technical advisor to PE firm leadership on technology due diligence, value creation opportunities, and digital transformation initiatives.
• Drive standardization and best practices across portfolio companies by establishing cloud centers of excellence and developing reusable architecture patterns.
• Guide portfolio company technical leaders on technology roadmap development, cloud migration strategies, and infrastructure automation.
• Identify and implement GenAI solutions to enhance operational efficiency, create new revenue streams, and drive innovation across portfolio companies.
• Increase awareness of Amazon's cloud computing and generative AI business value proposition within PE firms' portfolio companies.
• Engage systems integration and M&A advisory partners, and drive technical relationships with PE thought leaders to create new opportunity pipelines.
• Enable the AWS Business Development and Sales teams to drive day-to-day interactions with key prospects.
• Shape how AWS's GenAI stack, including Amazon Bedrock, foundation models, and agentic and Forward Deployed Engineering (FDE) motions, is positioned within the PE segment.
• Contribute to the PE technology community through thought leadership, speaking engagements, and industry forum participation, focusing on emerging technologies and value creation through cloud and AI adoption.

GenAI Fluency (Key Differentiator)

• Demonstrated fluency with generative AI concepts and the ability to translate them into business value for PE firms and their portfolio companies (cost takeout, revenue growth, operating leverage, and "AI tokenomics").
• Hands-on familiarity with the modern GenAI stack: foundation models, Amazon Bedrock, retrieval-augmented generation (RAG), agentic AI patterns, model selection/routing, and open-weight vs. proprietary model trade-offs.
• Ability to advise C-level and technical audiences on responsible AI, data strategy, security, and governance for enterprise-grade GenAI deployments.
• Experience shaping or supporting AI-driven transformation and Forward Deployed Engineering (FDE) style engagements that put GenAI into production at scale.

Qualifications

Basic Qualifications

• 10+ years of experience in specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
• Bachelor's degree in computer science, engineering, mathematics, or equivalent.
• Experience developing technology solutions and evangelizing 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, and 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.
• Strong presentation 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.
• Demonstrated ability to think strategically and long-term about business needs, with deep familiarity with complex, legacy IT environments, including applications, middleware, storage, networks, information security, and operations, as well as modern AI/ML architectures and generative AI application patterns.

About The Team

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.

Benefits

• Comprehensive health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and option for Supplemental life plans).
• Employee Assistance Program (EAP), Mental Health Support, Medical Advice Line.
• Flexible Spending Accounts.
• Adoption and Surrogacy Reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.
• Sign-on payments and restricted stock units (RSUs).

Learn more about our benefits at amazon.jobs/en/benefits.

Pay

• USA, NY, New York: $201,000.00 - $272,000.00 USD annually.
• USA, VA, Arlington: $182,800.00 - $247,300.00 USD annually.
• USA, WA, Seattle: $182,800.00 - $247,300.00 USD annually.

Final compensation will be determined based on factors including experience, qualifications, and location.