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# Sr. AI/ML Specialist Solutions Architect, AGS Specialist Solutions Architects

- **Company:** Amazon.com, Inc.
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Salary:** $176,600.0 - $239,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Alexa, Amazon Web Services, Systems Engineering, Cloud Computing, Machine Learning, Azure Machine Learning, SAS (Software), Software Engineering, Speech Recognition, AI Infrastructure, Chatbots, Pytorch, Large Language Models, Multi-Agent Systems, Prompt Engineering, Deep Learning, Model Validation, Generative AI, Kubernetes, Information Technology, Data Analytics, Machine Learning Operations, Virtual Agents, Natural Language Understanding
- **Published:** August 8, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27917368/Sr-Ai-Ml-Specialist-Solutions-Architect-Ags-Specialist-Solutions-Architects-Massachusetts-Boston-7375

## About the Role

You must have deep technical experience working with technologies related to generative AI, machine learning, and/or deep learning. Hands-on experience building applications on foundation models (RAG pipelines, agent frameworks, prompt engineering, model evaluation, fine-tuning) is required. A strong mathematics and statistics background is preferred in addition to experience with solution architecture and production ML systems. You should be familiar with the GenAI ecosystem (model providers, orchestration frameworks, vector databases, evaluation tools) and will leverage this knowledge to help AWS customers evaluate tradeoffs and accelerate their AI adoption., 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
 - Experience in a technical role within a sales organization

Preferred Qualifications

 - 5+ years of IT development or implementation/consulting in the software or Internet industries experience
 - Experience working with end user or developer communities
 - Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
 - Experience architecting/operating solutions built on AWS

## Description

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 committed 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. Join us and help us grow.

Are you passionate about Generative AI, Agentic AI, and Machine Learning? Are you passionate about helping customers design and build solutions leveraging the most comprehensive GenAI/ML platform available? Come join us!

At Amazon, we've been investing deeply in artificial intelligence for over 25 years, and many of the capabilities customers experience in our products are driven by machine learning. Amazon.com's recommendations engine is driven by ML, as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain, forecasting, and capacity planning are informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition with deep learning. More recently, we've put generative AI at the core of every Amazon business, from coding assistants that help our developers ship faster, to AI agents that automate complex operational workflows, to foundation models that power entirely new customer experiences. We have thousands of engineers at Amazon committed to pushing the frontier of AI, and it's a big part of our heritage.

Within AWS, we bring that knowledge and capability to customers through three layers of the AI stack: 1) AI Infrastructure with purpose-built chips like AWS Trainium and Inferentia, GPU-powered instances, and optimized frameworks like PyTorch and JAX, 2) AI/ML Platforms including Amazon Bedrock for building generative AI applications with foundation models, agents, guardrails, and knowledge bases, and Amazon SageMaker AI for end-to-end model building, training, and deployment, and 3) AI Application Services like Amazon Quick and Kiro (developer and business productivity), Amazon Nova foundation models, Amazon Transcribe, Amazon Textract, Amazon Comprehend, and Amazon Rekognition for quickly adding intelligence to applications.

AWS is looking for a GenAI/ML Solutions Architect who will be the Subject Matter Expert for helping customers in the United States design solutions leveraging our GenAI and ML services. You will work as an overlay to field sales teams, covering customers across multiple verticals and helping them architect and adopt solutions using Amazon Bedrock, Amazon Bedrock AgentCore, Amazon SageMaker AI, Amazon Nova models, and the broader AI/ML portfolio. You will design RAG architectures, agentic AI workflows, model customization strategies, responsible AI implementations, and production-scale inference pipelines. You will interact with other SAs in the field, providing guidance on their customer engagements. You will develop blog posts, reference implementations, workshops, and presentations to enable customers to fully leverage generative AI on AWS. Additionally, as the voice of the customer, you will work closely with service teams and submit product feature requests to drive the
platform forward., Working with customers' development, data science, and AI engineering teams to deeply understand their business and technical needs. After understanding their needs, you will design solutions that make the best use of the AWS cloud platform and AWS AI/ML services including Amazon Bedrock, Amazon Bedrock AgentCore, Amazon SageMaker AI, Amazon Nova foundation models, Amazon Quick, Kiro, Amazon Comprehend, Amazon Rekognition, Amazon Textract, and Amazon Transcribe.

Partner with SAs, Sales, Business Development, and the AI/ML service teams to accelerate customer adoption and revenue attainment in the AMERICAS for AWS generative AI and machine learning services, with a focus on Amazon Bedrock, Amazon Bedrock AgentCore, Amazon SageMaker AI, and the agentic AI portfolio.

Thought Leadership: Evangelize AWS GenAI/ML services and share best practices through forums such as AWS blogs, whitepapers, reference architectures, sample code repositories, and public-speaking events such as AWS Summit, AWS re:Invent, etc.

Act as a technical liaison between customers and the AWS Bedrock, AgentCore, SageMaker, and broader AI/ML service teams to provide customer-driven product improvement feedback and feature requests.

Develop and support an AWS internal community of GenAI-related subject matter experts in the AMERICAS, enabling field teams to identify, qualify, and position generative AI and agentic AI opportunities with their customers.

A day in the life
Most of your time is spent working directly with customers, helping them figure out how to use generative AI and machine learning to solve real business problems.

On a given morning, you might be on a video call with a team of engineers at a large insurance company who want to build an AI agent that can process claims documents. You're sketching out an architecture on a virtual whiteboard, asking questions about their data, and helping them think through tradeoffs between different approaches. That afternoon, you're prepping a demo for a different customer who's evaluating AWS against a competitor for a conversational AI use case. Later in the week, you're on-site running a workshop where a customer's ML team is building their first retrieval-augmented generation pipeline with you guiding them through it hands-on.


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