Sr. Applied AI Solutions Architect - Public Sector, Amazon Connect

Sr. Applied AI Solutions Architect - Public Sector, Amazon Connect

Amazon Web Services, Inc.

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 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.
• Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI 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 dynamically 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 (e.g., billing agents, order management agents, IT support agents), 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 (CRMs, ERPs, databases, knowledge bases).
• 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.

Travel

Willingness to travel up to 25‑40% for on‑site customer engagements.

Qualifications

• 6+ years of design, implementation, or consulting experience in applications and infrastructures.
• Experience with Amazon Connect or other enterprise contact center platforms (Genesys, Avaya, Cisco, NICE, Five9, etc.).
• Hands‑on experience with Amazon Bedrock, including model invocation, agent creation, knowledge base configuration, and guardrails.
• 5+ years of infrastructure architecture, database architecture, and networking experience.
• 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.
• Experience designing A2A (Agent‑to‑Agent) architectures—enabling specialized agents to collaborate across domains (e.g., billing, logistics, IT) through standardized agent communication protocols.
• Proficiency with agentic IDEs such as Kiro, Cursor, or similar AI‑assisted development environments, including experience with agent hooks, agent steering, MCP server configuration, and spec‑driven development.
• Relevant AWS certifications (Solutions Architect Professional, AI Practitioner, Machine Learning Specialty).

Benefits

Your Amazon package includes sign‑on payments and Restricted Stock Units (RSUs). Final compensation is determined based on experience, qualifications, and location. Amazon offers comprehensive benefits, including health, dental, vision, prescription, and basic life insurance; employee assistance program; mental health support; medical advice line; flexible spending accounts; adoption and surrogacy reimbursement; 401(k) matching; paid time off; parental leave. Learn more at

Equal Opportunity Employer

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, visit for more information.

Location

The role is based in the United States, with opportunities in New York, Arlington (VA), Herndon (VA), and Seattle (WA). Base salary ranges vary by location.