Senior Applied AI Solutions Architect — Amazon Connect, Applied AI SA - AIVT (AWS)

Amazon; Seattle (WA); On-site; USD 153,600 - 207,800; Full time

Benefits offered by this job

Health insurance

RSU program

Sign-on bonus

401(k) matching

Job summary

Amazon seeks a Senior Applied AI Solutions Architect to accelerate adoption of Amazon Connect AI capabilities. You will operate at the intersection of contact center ops and applied AI, writing code, building integrations, and pairing with customer engineering teams to deliver production-ready outcomes in weeks.

You will lead design and deployment of agentic AI solutions, MCP servers, and A2A workflows, guiding customers through testing and validation while creating reusable artifacts and

Qualifications

• 7+ years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics.
• 3+ years of design, implementation, or consulting experience in applications and infrastructures.
• Familiarity with MCP (Model Context Protocol) and/or A2A (Agent-to-Agent) for multi-agent communication.
• Demonstrated experience with AI/ML concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and model evaluation.

Responsibilities

• Lead technical discovery sessions with customer teams to translate requirements into actionable plans.
• Assess data readiness and governance across CRMs, knowledge bases, ticketing systems, and more.
• Design and configure AI agent solutions within Amazon Connect, including MCP servers and A2A workflows.
• Build serverless integrations using AWS services to connect AI agents with customer data systems.
• Architect secure access patterns for cloud data platforms powering tool use and RAG.

Skills

7+ years exp

3+ years design/impl

MCP/A2A familiarity

AI/ML concepts

Job description

Senior Applied AI Solutions Architect — Amazon Connect, Applied AI SA - AIVT

Job ID: 10435915 | Amazon Web Services, Inc.

Application deadline: Jul 21, 2026

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. This role is part of the AI Velocity Team – a service‑specific approach that assigns dedicated advisory and hands‑on development resources directly to customers to achieve production‑ready outcomes in weeks instead of months.

This role is at the intersection of contact center operations and applied AI. You will help customers move from proof‑of‑concept to pre‑production for their Amazon Connect + Unlimited AI deployments. The position is highly technical and hands‑on – you will write code, build integrations, configure agents, and pair‑program with customer engineering teams.

Core Responsibilities

• Lead technical discovery sessions with customer teams to understand business requirements, existing contact center architecture, and AI readiness; translate findings into actionable implementation plans.
• Conduct customer data readiness assessments to evaluate the quality, accessibility, structure, and governance of customer data assets (CRMs, knowledge bases, ticketing systems, order management, etc.); identify gaps and recommend remediation strategies.
• Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, prompt engineering, model selection, guardrail configuration, and tool/action integration.
• Design and deploy Model Context Protocol (MCP) servers that expose customer tools, data sources, and APIs in a standardized format, enabling AI agents to discover and invoke capabilities across the customer’s technology stack.
• Architect Agent‑to‑Agent (A2A) communication patterns that allow Amazon Connect AI agents to collaborate with specialized agents across the enterprise, enabling multi‑agent workflows that span organizational boundaries.
• 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.
• 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).
• Guide customers through testing, evaluation, and validation of AI agent performance against defined success criteria before production deployment.
• 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.
• Provide feedback to Amazon Connect and Amazon Bedrock product teams based on real‑world customer implementations, contributing to product roadmap prioritization.
• Willingness to travel up to 25‑40% for on‑site customer engagements.

A Day in the Life

• Pair‑program with customer developers to build and test AI agent configurations.
• Design prompt strategies and evaluate model performance across different foundation models.
• Configure MCP servers to expose customer APIs, databases, and tools in a standardized format for agent consumption.
• Design A2A workflows where Amazon Connect agents hand off to or collaborate with specialized agents across the customer’s enterprise.
• Configure knowledge bases and data connectors for RAG‑powered agent responses.
• Conduct architecture reviews and provide prescriptive guidance for production readiness.
• Document implementation patterns and contribute to the team’s knowledge base.
• Participate in weekly syncs with Connect service teams to share customer feedback and product insights.

Basic Qualifications

• 7+ years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics.
• 3+ years of design, implementation, or consulting experience in applications and infrastructures.
• Familiarity with interoperability protocols such as MCP (Model Context Protocol) and/or A2A (Agent‑to‑Agent) for multi‑agent communication.
• Demonstrated experience with AI/ML concepts including large language models (LLMs), prompt engineering, retrieval‑augmented generation (RAG), and model evaluation.

Preferred Qualifications

• Hands‑on experience with Amazon Bedrock, including model invocation, agent creation, knowledge base configuration, and guardrails.
• Experience with agentic AI patterns – multi‑agent orchestration, tool use, function calling, chain‑of‑thought reasoning, and autonomous agent workflows.
• Hands‑on experience building and deploying MCP servers – exposing enterprise tools and APIs via Model Context Protocol for dynamic agent tool discovery and invocation.
• 2+ years of contact center experience, or experience with AWS services or other cloud offerings.

Benefits

The base salary range for this position is $153,600.00 – $207,800.00 USD annually. 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 optional 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.

Equal Opportunity Statement

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 and San Francisco Fair Chance Ordinance apply to qualified applicants with arrest and conviction records. For more information on accommodations, please visit https://amazon.jobs/content/en/how-we-hire/accommodations.