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Principal Applied AI Solutions Architect, Amazon Connect

Amazon· AWS Specialist and Partner Organization (ASP)
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Hybrid (USA, MA, Boston), Hybrid (USA, WA, Seattle), Hybrid (USA, VA, Arlington), Hybrid (USA, NY, New York), Hybrid (USA, GA, Atlanta), Hybrid (USA, IL, Chicago), Hybrid (USA, TX, Dallas)$182.8k - $247.3kFull-timePosted yesterday

About the role

Hands-on Solutions Architect role focused on accelerating customer adoption of Amazon Connect's AI capabilities, with emphasis on Customer Data Readiness, data pipelines, and agentic AI implementations within AWS ASP.

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.
  • 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, order management, IT support), enabling multi-agent workflows.
  • 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 to power AI agent tool use and retrieval-augmented generation (RAG).
  • Agentic IDE Proficiency: Leverage agentic development environments such as Kiro and similar IDEs to accelerate development workflows (spec-driven development, agent hooks, MCP server configuration, AI-assisted code generation).
  • Pre-Production Validation: Guide customers through testing, evaluation, and validation of AI agent performance before production deployment.
  • Field Enablement: Share learnings, deliver technical deep-dives, and mentor other SAs on agentic AI implementation patterns.

Qualifications

  • 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • Bachelor's degree in computer science, engineering, mathematics or equivalent
  • Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
  • Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications

Skills

Required:Customer data readinessAI agent design and prompt engineeringCloud data access and data pipelinesA2A integration patternsServerless development (AWS Lambda, API Gateway, Step Functions)

Benefits

  • Comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D, optional supplemental life), EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage
  • 401(k) matching
  • paid time off
  • parential leave
  • sign-on payments and RSUs as part of total compensation
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

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