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Description

Amazon Web Services (AWS) is seeking a technical leader for our solution architecture team who will be responsible for the technology, strategy, and senior level relationships with strategic and/or fast-growing Independent Software Vendors (ISV). The Partner Solutions Architect will be responsible for creating, and driving, the technical strategy with a group of assigned ISV partners, taking the lead on go-to-market products built-on and/or integrated with AWS. With your partners, you will craft highly scalable, flexible, and resilient cloud architectures that provide solutions to solve customer business problems and accelerate the adoption of AWS services. In collaboration with your team at AWS, you will drive revenue growth through customer adoption of partner solutions on AWS. As a trusted partner advocate, you will have the opportunity to help shape and execute a strategy to build mindshare and broaden use of AWS. You will also need to be adept at interacting, communicating and partnering with other teams within AWS; such as services teams, marketing, and professional services, as well as representing your team to executive management.

ROLES AND RESPONSIBILITIES

• Work with partners to deeply understand their business and technical needs that can be addressed with foundation models.

• Influence leaders of technology partners through business-level discussions by extracting key technical insights from your own experimentation and communicating these insights at an executive level.

• Develop proof-of-concept code that leverages AWS services for generative AI to demonstrate AWS capabilities that technology partners can leverage to improve the capabilities they sell to their customers.

• Identify gaps in capabilities and features with AWS GenAI services, and provide short-term and long-term solutions to address those through open source code and/or working with partners.

• Draw on deep expertise and experience in your segment to ensure recommendations and technical advice are relevant and incisive.

• Empower developer communities on AWS and partners joint value proposition in terms of generative AI through code samples, demos, speaking engagements, meetups etc.

• Provide roadmap to internal product management and engineering teams based on customer and partner feedback to help drive the future of AWS services in generative AI.

• Provide architectural guidance and recommendations on building generative AI-powered applications efficiently and reliably on AWS.

• Enable internal and external teams to up-level and build competency in generative AI tools and architectures. Where helpful, develop technical content, such as white papers, workshops, and reference architectures, that can be used by our customers and partners.

• Assist solution providers with the definition of strategies that will enable them to present their offering on AWS.

• Ensure compliance with industry standards and best practices in AI development and deployment, such as GDPR, HIPPA or similar guidelines.

• Conduct research and experimentation, while also staying updated with the latest advancements in generative AI to drive innovation and foster credibility.

• Participate in industry conferences, workshops and forums to share insights and learn from peers in the AI community.

• Scope each partner and customer engagement, with attention towards clear and well-defined objectives and success criteria

• Be an advocate of responsible AI, and use your role as a GenAI thought leader to evangelize safeguards for AI while demystifying the behavior of AI systems

This position can be based anywhere AWS has a significant presence (list below), but the following are preferred.

• Irvine, CA

• San Diego, CA

• San Francisco, CA

• Austin, TX

• Dallas, TX

• Arlington, VA

• Seattle, WA

• New York, NY

Must be open to travel at least 30% including international

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Key job responsibilities

• Driving product integrations between partner products and AWS services

• Proving thought leadership in the form of publishing blog posts, public speaking, white papers and reference architectures

A day in the life

• Meeting partner product managers and engineering teams to talk about blockers or get feedback about ongoing build activities.

• Building and testing a Proof of Concept (PoC) or create a code sample.

• Writing a blog post or white paper.

• Spending time consuming technical news and learning about the latest happenings in the market and software community.

About the team

Our team consists of experienced Solution Architects, most of whom have a background or work history in building complex software solutions. We're constant innovators on behalf of our customers and are passionate about learning and building joint solutions with partners to help our customers.

Work/Life Balance:

Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life — both in and outside of work.

Mentorship & Career Growth:

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Inclusive and Diverse Culture:

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

We are open to hiring candidates to work out of one of the following locations:

Atlanta, GA, USA | Austin, TX, USA | Chicago, IL, USA | Dallas, TX, USA | Houston, TX, USA | New York City, NY, USA | San Francisco, CA, USA

Basic Qualifications

• 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

• 3+ years of design, implementation, or consulting in applications and infrastructures experience

• 3+ years of experience building, validating, and deploying AI/ML models and applications

Preferred Qualifications

• Experience working with end user or developer communities

• Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients

• • An understanding of how to deliver into production applications, features, and solutions that incorporate generative AI to process information
• • Knowledge of MLOps tools and workflows for model development, validation, and deployment
• • Experience working with field teams to drive adoption of ML solutions

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $122,900/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.