GenAI Solutions Architect: Enterprise AI & GTM Lead

Socket.dev; Boston (MA); On-site; USD 154,000 - 208,000; Full time

Job summary

Amazon in Boston, MA is seeking a Generative AI Solutions Architect to serve as SME for GenAI solutions, engaging with customers to design GenAI-enabled architectures on AWS. You will work with ML engineers and data scientists, deliver briefs and deep-dive sessions, and guide customers on adoption patterns and best practices.

You will develop white papers, reference implementations, and presentations, enabling partners and customers to leverage GenAI on AWS. Travel up to 30% may be required.

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.
• 10+ years of IT development or implementation/consulting in the software or Internet industries experience.
• 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience.
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience leading engineering teams as a mentor or tech lead.
• Proficient with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.
• Proficient with prompt engineering, function calling, agentic workflows, embedding model fine tuning and retrieval method evaluation and optimization approaches.
• 5+ years of experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions - using one or more Deep Learning frameworks such as TensorFlow and PyTorch.
• 5+ years professional experience in software development in languages related to ML like Python or Java. Experience working with RESTful API and general service-oriented architecture.
• 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, engineering, or computer science.

Responsibilities

• Customer Advisor- Implement, and deploy state of the art machine learning solutions under Gen AI.
• Thought Leadership - Evangelize 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.

Skills

GenAI experience

LLM architectures

LangChain

LLAMAIndex

Data Augmentation

Prompt engineering

Retrieval methods

ML / AI fundamentals

Python/Java

RESTful APIs

Education

Master's degree in a quantitative field

Tools

TensorFlow

PyTorch

AWS Redshift

AWS S3

AWS Glue

AWS EMR

AWS Kinesis

AWS Lambda

IAM

Job description

Amazon in Boston, MA is seeking a Generative AI Solutions Architect to serve as SME for GenAI solutions, engaging with customers to design GenAI-enabled architectures on AWS. You will work with ML engineers and data scientists, deliver briefs and deep-dive sessions, and guide customers on adoption patterns and best practices.

You will develop white papers, reference implementations, and presentations, enabling partners and customers to leverage GenAI on AWS. Travel up to 30% may be required.