Private Equity AI Solutions Architect, AWS Private Equity jobs in United States
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Amazon · 18 hours ago

Private Equity AI Solutions Architect, AWS Private Equity

Amazon Web Services (AWS) is at the forefront of Generative AI innovation, helping Private Equity firms and their portfolio companies leverage AI technologies. The role of PE AI Solutions Architect involves designing AI/ML solutions, leading projects, and collaborating with various teams to deliver business outcomes.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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H1B Sponsor Likelynote

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

Qualification

Machine LearningGenerative AIAWS AI ServicesComputer ArchitecturePrivate Equity ExperienceAWS CertificationsWorkshop FacilitationTechnical Communication

Required

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
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

Preferred

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

Benefits

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
Parental leave

Company

Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

H1B Sponsorship

Amazon has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)

Funding

Current Stage
Public Company
Total Funding
$8.11B
Key Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO

Leadership Team

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Douglas J. Herrington
CEO, Worldwide Amazon Stores
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Werner Vogels
VP & CTO
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Company data provided by crunchbase