Worldwide Specialist Solutions Architect - Bedrock, Data & AI GTM (AWS)

Amazon; Seattle (WA); On-site; USD 154,000 - 208,000; Full time

Job summary

Amazon Web Services, Inc. seeks a Worldwide Specialist Solutions Architect to lead GenAI GTM for Bedrock, Data & AI. You will design GenAI solutions, help customers deploy Bedrock and SageMaker, and influence product direction with executives and engineers.

You will collaborate with AWS teams, craft reference architectures, and create field enablement materials. Travel up to 30% is possible, enabling large-scale GenAI use cases across geographies.

Qualifications

• 7+ years of technology experience in software development, cloud computing, systems engineering, or data analytics.
• Bachelor's degree in computer science, engineering, mathematics or equivalent.
• Experience evangelising end-to-end technology roadmaps and IT transformations toward cloud adoption.
• Experience communicating across technical and non-technical audiences at executive level.

Responsibilities

• Customer Advisor- implement and deploy state-of-the-art ML solutions under Gen AI with prototypes and PoCs.
• Thought Leadership- advocate for AWS GenAI services through blogs, white-papers, reference architectures, and events.
• Partner with Data Scientists, SAs, Sales, and Gen AI Service teams to accelerate customer adoption and guidance.
• Act as a technical liaison to provide customer-driven product improvement feedback.
• Develop internal GenAI communities and field enablement materials for AWS GenAI solutions.

Skills

7+ years exp

Solution development

Executive communication

GenAI experience

Cloud computing

LLM/GenAI tools

Education

Bachelor's in CS/Engineering/Math or equivalent

Tools

LangChain

LLAMAIndex

Data Augmentation

Performance Evaluation

Job description

Worldwide Specialist Solutions Architect - Bedrock, Data & AI GTM

Job ID: 10553010 | Amazon Web Services, Inc.

Are you passionate about Generative AI (GenAI)? Do you want to help define the future of Go to Market (GTM) at AWS using generative AI? In this role, you will help some of our largest customers build and deploy GenAI enabled applications using Amazon Bedrock and SageMaker, fine tune and build Generative AI models, and help enterprise customers leverage these models to power end applications. You will engage with AWS product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services. At Amazon, we’ve been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience in our products are driven by machine learning. Amazon.com’s recommendations engine is driven by machine learning (ML), as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain, forecasting, and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it’s a big part of our heritage. AWS is looking for a Generative AI Solutions Architect who will be the Subject Matter Expert (SME) for helping customers in designing solutions that leverage our Generative AI services. You will interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI. As part of the Generative AI Worldwide Specialist organization, you will work closely with other Solution Architects from various geographies to enable large-scale customer use cases and drive the adoption of Amazon Web Services for GenAI services. You will interact with other Data Scientists and Solution Architects in the field, providing guidance on their customer engagements. You will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage Generative AI services on Amazon Web Services. You will also create field enablement materials for the broader technical field population, to help them understand how to integrate AWS Generative AI solutions into customer architectures. You drive effective feedback gathering from customers, and you distill and translate that feedback into clear business and technical requirements for product and engineering teams to review. You must have deep technical experience working with technologies related to large language models including LLM architectures, model evaluation, and fine-tuning techniques. You should be proficient with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches. You must have experience with embedding model fine tuning and retrieval method evaluation approaches. You should understand the security and compliance requirements for ML/GenAI implementations. You must have experience with LangChain, LLAMAIndex, Data Augmentation, Responsible AI, and Performance Evaluation frameworks. You should have experience architecting end to end ML/Gen AI applications for customers using AWS services and Well Architected Framework. Candidates must have great communication skills and be very technical, with the ability to impress Amazon Web Services customers at any level, from executive to developer. You will get the opportunity to work directly with senior ML engineers and Data Scientists at customers, partners and Amazon Web Services service teams, influencing their roadmaps and driving innovation. Travel up to 30% may be possible.

Key job responsibilities

• Customer Advisor- Implement, and deploy state of the art machine learning solutions under Gen AI. You will build prototypes, PoCs, and explore new solutions. You will interact closely with our customers.


• Thought Leadership – Advocate for AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.


• Partner with Data Scientists, SAs, Sales, Business Development and the Generative AI Service teams to accelerate customer adoption and providing guidance on their customer engagements.


• Act as a technical liaison between customers and the AWS Generative AI services teams to provide customer driven product improvement feedback.


• Develop and support an AWS internal community of GenAI related subject matter experts worldwide. Create field enablement materials for the broader technical population, to help them understand how to integrate AWS GenAI solutions into customer architectures.

Basic Qualifications

• 7+ 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 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


• Knowledge of distributed systems design and implementation or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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

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, CA, San Francisco - 176,600.00 - 239,000.00 USD annually
USA, NY, New York - 169,000.00 - 228,600.00 USD annually
USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually