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 customer-first approach is how we built the world's most adopted cloud.
Responsibilities
- Work directly with Private Equity firms, their portfolio companies and consulting partners to drive the adoption of technology, including generative AI, that will allow them to achieve their desired operational business outcomes.
- Provide thought leadership in terms of looking beyond the technology and considering the value that technology creates for our customers, including how generative AI can accelerate value creation across a PE portfolio.
- Increase awareness of Amazon's cloud computing and generative AI business value proposition within PE firms' portfolio customers, engage systems integration and M&A Advisory partners, and drive the technical relationships with PE thought leaders to help create new opportunity pipelines.
- Enable the AWS Business Development and Sales teams to more effectively drive their day-to-day interactions with key prospects.
- Work closely with AWS Account Solutions Architects, Business Development and Professional Services teams to help PE customers migrate their legacy applications, adopt generative AI, as well as develop and build cloud-native and AI-powered applications to grow and transform their businesses.
- Leverage successful migration patterns, cloud-native application architectures (Microservices, Serverless, Containers), generative AI services (such as Amazon Bedrock, Amazon Q, and foundation models), and application development and operations practices (Agile, DevOps, DevSecOps, and Continuous Integration/Continuous Delivery).
Requirements
The ideal candidate will possess a technical background that enables them to drive customer engagement with business, finance or IT executives at the highest levels of our PE customers. You will have the presence and capability to communicate the benefits of cloud computing and generative AI to application architects, enterprise architects, platform architects, infrastructure architects and engineers, data scientists, and enterprise security and compliance teams. The ideal candidate will also have a demonstrated ability to think strategically and long-term about the needs of businesses, and be deeply familiar with complex, legacy IT environments including applications, middleware, storage, networks, information security, and operations, as well as an understanding of how generative AI can be applied responsibly and securely within those environments.
Qualifications
- 2+ years of design, implementation, or consulting in applications and infrastructures experience
- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 4+ years of IT development or implementation/consulting in the software or Internet industries experience
Skills
Experience working within software development or Internet-related industries
Experience migrating or transforming legacy customer solutions to the cloud
Experience working with AWS technologies from a dev/ops perspective
Benefits
Amazon 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.
Pay
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.
Learn more about our benefits at https://amazon.jobs/en/benefits.
Schedule
Amazon offers flexible scheduling options to accommodate your needs.