Senior Applied AI Solutions Architect (Amazon Connect)

Quick Facts

• Role: Senior Applied AI Solutions Architect (Amazon Connect)

• Focus: Hands-on architecture and delivery of AI-first solutions and Live demos using Amazon Connect AI agents

Description

Design and deliver AI-first solutions on Amazon Connect, including working systems, reusable reference architectures, and internal assets to accelerate applied AI adoption. Build and maintain production-quality Live demo environments that help sales teams, customers, and partners use Amazon Connect AI agents. You will work full-stack across user experience, integrations, and data, including agent prompt tuning, memory/context, tools, MCP/A2A orchestration, and RAG.

Responsibilities

• Deliver org-level AI-first solutions with reusable patterns and internal assets for Amazon Connect

• Design, build, and maintain Live demos showcasing Amazon Connect AI agents and emerging use cases

• Develop front-end experiences and back-end services; write REST APIs and web services

• Configure Amazon Connect AI agents end to end: prompts, guardrails, LLM evaluation/tuning, and memory/context management

• Build tool and multi-agent orchestration using MCP servers and A2A patterns

• Create secure integrations and data foundations for agent tool use and RAG (knowledge bases, structured datasets)

• Apply AWS Well-Architected Framework for security, reliability, performance efficiency, cost optimization, and sustainability

• Validate agent performance against defined success criteria; ensure solutions/demos are reliable and repeatable

• Create reusable artifacts (reference architectures, playbooks, sample code, prompt libraries, data readiness checklists)

• Collaborate with product teams (Amazon Connect and Amazon Bedrock) and share learnings for roadmap prioritization

Benefits

• Comprehensive benefits including health insurance (medical, dental, vision, prescription), Basic Life & AD&D, option for Supplemental life, EAP, mental health support, medical advice line, Flexible Spending Accounts, adoption and surrogacy reimbursement

• 401(k) matching

• Paid time off and parental leave

• Sign-on payments and restricted stock units (RSUs)

Requirements

• 7+ years of specific technology domain experience (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics)

• 3+ years designing/implementing/consulting in applications and infrastructures

• 3+ years hands-on coding with REST APIs and web services, including integrating agentic or generative AI

• Full-stack development experience across front-end and back-end

• Cloud experience (AWS preferred) across compute, database, integration, identity, networking, and automated packaging/deployment

• Hands-on LLM experience including prompt engineering, agent memory/context management, RAG, and model evaluation

• Familiarity with MCP and A2A interoperability protocols