As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
Amazon Web Services is looking for a highly motivated Solutions Architect to help accelerate our growing Public Sector practice. As a Solutions Architect within AWS, you will have the opportunity to ...
Amazon Web Services is looking for a highly motivated Solutions Architect to help accelerate our growing Public Sector practice. As a Solutions Architect within AWS, you will have the opportunity to ...
... Architect to support the Amazon Leo for Government (ALG) team focusing on DoD customers. This position will be based in in the Northern Virginia area. This position will be part of the ALG team ...
... Architect to support the Amazon Leo for Government (ALG) team focusing on DoD customers. This position will be based in in the Northern Virginia area. This position will be part of the ALG team ...
Solution Architect for Amazon Lex/connect
Johnston, RI · On-site
$64 - $84.25/hr
Solution Architect for Amazon Lex/Connect Location - Johnston, RI Connect with Business people as well as technical team Job Summary: We are seeking an experienced Solution Architect with strong ...
Quick apply
Solution Architect for Amazon Lex/connect
Johnston, RI · On-site
$64 - $84.25/hr
Solution Architect for Amazon Lex/Connect Location - Johnston, RI Connect with Business people as well as technical team Job Summary: We are seeking an experienced Solution Architect with strong ...
Amazon Certified Cloud Solutions Architect
Bellevue, WA · Remote
$65 - $89/hr
Amazon Certified Cloud Solutions Architect Focus: AWS | Containerization | Cloud-Native & POCs Location: Remote (US-based preferred) Employment Type: Full-time / Contract / Consulting (flexible ...
Quick apply
Amazon Certified Cloud Solutions Architect
Bellevue, WA · Remote
$65 - $89/hr
Amazon Certified Cloud Solutions Architect Focus: AWS | Containerization | Cloud-Native & POCs Location: Remote (US-based preferred) Employment Type: Full-time / Contract / Consulting (flexible ...
Amazon Certified Cloud Solutions Architect
Bellevue, WA · Remote
$65 - $89/hr
Amazon Certified Cloud Solutions Architect Focus: AWS | Containerization | Cloud-Native & POCs Location: Remote (US-based preferred) Employment Type: Full-time / Contract / Consulting (flexible ...
Quick apply
Amazon Certified Cloud Solutions Architect
Bellevue, WA · Remote
$65 - $89/hr
Amazon Certified Cloud Solutions Architect Focus: AWS | Containerization | Cloud-Native & POCs Location: Remote (US-based preferred) Employment Type: Full-time / Contract / Consulting (flexible ...
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
Amazon Architect information
See salary details
$46.5K - $60.6K
3% of jobs
$60.6K - $74.7K
4% of jobs
$74.7K - $88.8K
17% of jobs
$89.7K is the 25th percentile. Wages below this are outliers.
$88.8K - $102.9K
17% of jobs
The median wage is $114.4K / yr.
$102.9K - $117K
11% of jobs
$117K - $131K
4% of jobs
$131K - $145.1K
4% of jobs
$145.1K - $159.2K
3% of jobs
$164.1K is the 75th percentile. Wages above this are outliers.
$159.2K - $173.3K
33% of jobs
$173.3K - $187.4K
1% of jobs
$187.4K - $201.5K
2% of jobs
$46.5K
$128.8K
$201.5K
How much do amazon architect jobs pay per year?
As of Jun 11, 2026, the average yearly pay for amazon architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive in the Amazon Architect position, and why are they important?
To thrive as an Amazon Architect, you need deep expertise in cloud architecture, particularly with Amazon Web Services (AWS), coupled with a strong understanding of IT infrastructure and solution design. Familiarity with AWS tools and services, infrastructure-as-code tools (like CloudFormation or Terraform), and AWS certifications such as Solutions Architect are highly valuable. Excellent problem-solving abilities, communication skills, and the capacity to collaborate within cross-functional teams distinguish top candidates. These skills enable Amazon Architects to design scalable, secure solutions that align with business needs in dynamic cloud environments.
What is the highest paid architect job?
The highest paid architect roles are typically senior or specialized positions such as enterprise or solutions architects in large organizations, including Amazon Architects or cloud solution architects. These roles often require advanced certifications, extensive experience, and expertise in cloud platforms like AWS, which can lead to salaries exceeding $150,000 annually, with some earning over $200,000 depending on location and responsibilities.
Does Amazon hire architects?
Yes, Amazon hires architects, including solutions architects, cloud architects, and enterprise architects, to design and implement technology solutions across its platforms. These roles often require expertise in cloud computing, AWS services, and relevant certifications such as AWS Certified Solutions Architect.
How much does an AWS architect make?
An AWS architect typically earns between $100,000 and $160,000 annually, depending on experience, certifications, and location. Senior roles or those with specialized skills in cloud architecture can earn higher salaries, often exceeding $180,000. Certifications like AWS Certified Solutions Architect can also influence salary levels.
What are the typical day-to-day responsibilities of an Amazon Architect?
An Amazon Architect typically spends their days designing, reviewing, and optimizing cloud-based solutions using AWS technologies to meet specific business or technical requirements. You’ll collaborate with stakeholders—including developers, operations teams, and project managers—to ensure solutions are scalable, cost-effective, and secure. Activities often include participating in architectural reviews, creating technical documentation, advising on best practices, and troubleshooting issues as they arise. This role is both strategic and hands-on, offering the opportunity to have a direct impact on the success and innovation of technology projects.
What is an Amazon Architect job?
An Amazon Architect is a professional responsible for designing, implementing, and optimizing cloud solutions on Amazon Web Services (AWS). They ensure that cloud architectures align with business goals, emphasizing scalability, security, and cost efficiency. This role involves selecting appropriate AWS services, defining best practices, and troubleshooting performance issues. Amazon Architects often collaborate with developers, security teams, and IT leadership to create robust cloud strategies.
What is the salary of architect in Amazon?
The salary of an Amazon Architect typically ranges from $120,000 to $180,000 annually, depending on experience, location, and specific role responsibilities. Senior architects with specialized skills or certifications can earn higher compensation, often including bonuses and stock options as part of the total package.
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Full-time
Posted 27 days ago
Amazon rating
7.4
Based on 6,839 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners.
Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges.
The Applied AI Solutions Architecture team within AWS is seeking a hands-on, customer-obsessed Solutions Architect to accelerate customer adoption of Amazon Connect's AI capabilities.
As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI:
Model Selection - Guiding customers through evaluating and selecting the right foundation models (via Amazon Bedrock) for their contact center use cases, balancing latency, accuracy, cost, and compliance requirements.
Prompt Configuration - Designing, testing, and optimizing AI prompts and system instructions for Amazon Connect AI agents, including self-service agents, answer recommendation agents, and custom orchestrator agents.
Tool Configuration - Architecting and building the tool integrations (APIs, Lambda functions, data connectors, knowledge bases) that agentic AI systems use to take actions on behalf of customers and agents - including configuring MCP (Model Context Protocol) servers for standardized tool discovery and invocation, and enabling A2A (Agent-to-Agent) communication patterns for multi-agent orchestration across enterprise systems.
A critical dimension of this role is Customer Data Readiness - assessing, preparing, and structuring customer data assets so that AI agents can reliably access, retrieve, and act on the right information. You will help customers evaluate their data landscape, identify gaps, establish data pipelines, and ensure their knowledge bases, CRMs, and backend systems are AI-ready before agents go live.
You will work at the intersection of contact center operations and applied AI, helping customers move from proof-of-concept to pre-production for their Amazon Connect + Unlimited AI deployments
This is a deeply technical, hands-on role - you will write code, build integrations, configure agents, and pair-program with customer engineering teams.
Willingness to travel up to 25-40% for on-site customer engagements
Key job responsibilities
- Customer Engagement: Lead technical discovery sessions with customer teams to understand business requirements, existing contact center architecture, and AI readiness. Translate findings into actionable implementation plans.
- Customer Data Readiness: Conduct data readiness assessments to evaluate the quality, accessibility, structure, and governance of customer data assets (CRMs, knowledge bases, ticketing systems, order management, etc.). Identify data gaps, recommend remediation strategies, and help customers build the data foundation required for effective AI agent tool use and RAG-powered responses.
- Agentic AI Implementation: Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration.
- MCP Server Configuration: Design and deploy Model Context Protocol (MCP) servers that expose customer tools, data sources, and APIs in a standardized format - enabling AI agents to dynamically discover and invoke capabilities across the customer's technology stack.
- A2A (Agent-to-Agent) Integration: Architect Agent-to-Agent communication patterns that allow Amazon Connect AI agents to collaborate with specialized agents across the enterprise (e.g., billing agents, order management agents, IT support agents), enabling multi-agent workflows that span organizational boundaries.
- Integration Development: Build serverless integrations using AWS Lambda, API Gateway, Step Functions, and scripting (Python, Node.js) to connect Amazon Connect AI agents with customer data systems (CRMs, ERPs, databases, knowledge bases).
- Cloud Data Access: Architect secure access patterns to cloud-based data systems (Amazon DynamoDB, Amazon RDS, Amazon S3, Amazon OpenSearch, Amazon Kendra/Knowledge Bases for Bedrock) to power AI agent tool use and retrieval-augmented generation (RAG).
- Pre-Production Validation: Guide customers through testing, evaluation, and validation of AI agent performance against defined success criteria before production deployment.
- Knowledge Sharing: Create reusable artifacts (reference architectures, implementation guides, sample code, prompt libraries, data readiness checklists) that scale best practices across the Connect SA community and partner ecosystem.
- Service Team Collaboration: Provide feedback to Amazon Connect and Amazon Bedrock product teams based on real-world customer implementations, contributing to product roadmap prioritization.
Key job responsibilities
- Customer Engagement: Lead technical discovery sessions with customer teams to understand business requirements, existing contact center architecture, and AI readiness
Translate findings into actionable implementation plans.
- Customer Data Readiness: Conduct data readiness assessments to evaluate the quality, accessibility, structure, and governance of customer data assets (CRMs, knowledge bases, ticketing systems, order management, etc.). Identify data gaps, recommend remediation strategies, and help customers build the data foundation required for effective AI agent tool use and RAG-powered responses.
- Agentic AI Implementation: Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration.
- MCP Server Configuration: Design and deploy Model Context Protocol (MCP) servers that expose customer tools, data sources, and APIs in a standardized format - enabling AI agents to dynamically discover and invoke capabilities across the customer's technology stack.
- A2A (Agent-to-Agent) Integration: Architect Agent-to-Agent communication patterns that allow Amazon Connect AI agents to collaborate with specialized agents across the enterprise (e.g., billing agents, order management agents, IT support agents), enabling multi-agent workflows that span organizational boundaries.
- Integration Development: Build serverless integrations using AWS Lambda, API Gateway, Step Functions, and scripting (Python, Node.js) to connect Amazon Connect AI agents with customer data systems (CRMs, ERPs, databases, knowledge bases).
- Cloud Data Access: Architect secure access patterns to cloud-based data systems (Amazon DynamoDB, Amazon RDS, Amazon S3, Amazon OpenSearch, Amazon Kendra/Knowledge Bases for Bedrock) to power AI agent tool use and retrieval-augmented generation (RAG).
- Pre-Production Validation: Guide customers through testing, evaluation, and validation of AI agent performance against defined success criteria before production deployment.
- Knowledge Sharing: Create reusable artifacts (reference architectures, implementation guides, sample code, prompt libraries, data readiness checklists) that scale best practices across the Connect SA community and partner ecosystem.
- Service Team Collaboration: Provide feedback to Amazon Connect and Amazon Bedrock product teams based on real-world customer implementations, contributing to product roadmap prioritization.
A day in the life
Pair-programming with customer developers to build and test AI agent configurations
- Designing prompt strategies and evaluating model performance across different foundation models
- Configuring MCP servers to expose customer APIs, databases, and tools in a standardized format for agent consumption
- Designing A2A workflows where Amazon Connect agents hand off to or collaborate with specialized agents across the customer's enterprise
- Configuring knowledge bases and data connectors for RAG-powered agent responses
- Conducting architecture reviews and providing prescriptive guidance for production readiness
- Documenting implementation patterns and contributing to the team's knowledge base
Participating in weekly syncs with Connect service teams to share customer feedback and product insights
About the team
The Applied AI Solutions Architecture team is part of the AWS Specialist and Partner Organization (ASP). We are the technical bridge between Amazon Connect customers and the service teams building the next generation of AI-powered contact center capabilities
Our team operates at the forefront of agentic AI adoption, helping customers become production-ready with Amazon Connect's Unlimited AI features.
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US