Solutions Architect III, Salesforce Account Team

Amazon; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Amazon in San Francisco is seeking a Solutions Architect to partner with customers and design cloud-based solutions that address cost, risk, and business-value acceleration. You will blend business context with deep technical expertise across the ML lifecycle to deliver secure, scalable architectures that meet real-world needs.

You will collaborate with Sales, Engineering, Professional Services, and Product teams to translate customer feedback into improved AI/ML offerings, while guiding

Responsibilities

• Design end-to-end AI/ML solutions across the ML lifecycle with scalable, secure, and cost-optimized architectures.
• Advise customer leadership on AI strategy, governance, risks, and responsible-AI considerations.
• Lead AI/ML solution discussions with customer teams on model selection and data pipelines.
• Create workshops, labs, presentations, blog posts, and reference architectures to educate customers on generative AI and ML strategy.
• Collaborate with sales, engineering, professional services, science, and product groups to accelerate AI/ML adoption and translate feedback into product requirements.

Job description

Are you passionate about helping customers solve complex technical challenges and shaping their technology strategy? At Amazon, we're looking for a Solutions Architect who thrives at the intersection of business and technology. In this role, you'll partner directly with customers to design and deliver cloud-based solutions that address real business needs — from reducing costs and mitigating risk to launching new products and transforming legacy platforms. You'll bring both technical depth and practical judgment to every engagement, working to understand each customer's unique context and crafting architectures that are secure, reliable, scalable, and cost-optimized. If you're a curious, collaborative problem-solver who wants to make a measurable impact on how organizations build for the future, we'd love to hear from you.

Key job responsibilities

• Design end-to-end AI/ML solutions by combining business understanding with deep technical expertise across the ML lifecycle, model training and fine-tuning, inference, and MLOps, ensuring architectures are extensible, secure, reliable, and cost-optimized while balancing short-term needs with long-term business outcomes. Guide customers on generative AI, foundation models, and classical ML, and help them select the right approach (e.g., prompt engineering, RAG, fine-tuning, or custom model training) for their use case.
• Serve as a trusted technical advisor to customer leadership, building relationships, understanding their data and technology challenges and industry context, and guiding their AI strategy through considered options and clear articulation of trade-offs, risks, and responsible-AI considerations such as governance, bias, security, and cost.
• Lead technical AI/ML solution discussions with customer teams, diving into model selection, data pipelines, training and inference architecture, evaluation, and best practices — proactively identifying high-risk or overly complex approaches (e.g., unnecessary model training, unscalable inference patterns) and engaging the right specialist and service-team resources when needed.
• Develop and deliver technical AI/ML content such as workshops, hands-on labs, presentations, blog posts, and reference architectures that educate customers on generative AI and ML strategy and best practices, applying your depth of experience to create reusable, high-quality artifacts that accelerate adoption.
• Collaborate with internal teams across sales, engineering, professional services, science, and product groups to accelerate AI/ML solution adoption, gather customer feedback on models and services, and translate it into clear requirements that improve the AI/ML product portfolio.

A day in the life

Your morning might start with a deep-dive architecture review alongside a customer's engineering team, working through design decisions for a cloud migration or a new application platform. After lunch, you could be whiteboarding a proof of concept that demonstrates how to simplify a complex workflow, then jumping into a call with product engineers to share feedback you've gathered from recent customer engagements. You'll regularly create and refine technical content, mentor fellow architects, and contribute to patterns that help the broader team deliver better solutions.

About the team

Our Solutions Architecture team is dedicated to helping customers achieve their most ambitious technology goals. We work across industries and use cases, partnering closely with engineering, sales, and professional services to deliver solutions that create lasting business value. We're a collaborative group that values continuous learning, knowledge sharing, and creative problem-solving. If you're excited about working with customers to turn complex challenges into elegant solutions and want to grow your career alongside some of the most thoughtful technical minds at Amazon, this is the team for you.