Senior AI Solutions Architect — Amazon Connect & LLMs

Amazon Inc.; Austin (TX); On-site; USD 154,000 - 208,000; Full time

Job summary

Amazon Connect, Applied AI is seeking a Senior Applied AI Solutions Architect in Austin, TX. You will design and deliver AI-first solutions, build working demos, reference architectures, and internal assets that help sales teams, customers, and partners understand how to use Amazon Connect AI capabilities.

You'll work full stack, build REST APIs, integrate with AWS services (Lambda, API Gateway, Step Functions, DynamoDB, S3, OpenSearch, Kendra, Bedrock), and ensure security and Well-Architected

Qualifications

• 7+ years in software development, cloud computing, systems engineering, infrastructure, security, networking, or data & analytics.
• 3+ years design, implementation, or consulting in applications and infrastructures.
• 3+ years hands-on coding with REST APIs and web services, including integrating AI into applications.
• Full-stack development experience across front-end and back-end.
• Cloud experience (AWS preferred) across compute, database, integration, identity, networking, and automated packaging and deployment.
• Hands-on experience with LLMs, prompt engineering, memory and context management, retrieval-augmented generation (RAG), and model evaluation.
• Familiarity with MCP (Model Context Protocol) and A2A (Agent-to-Agent) interoperability protocols.

Responsibilities

• Deliver AI-first solutions for org-level initiatives, including working systems, reference patterns, and internal assets on Amazon Connect that help the broader organization adopt applied AI.
• Design, build, and maintain Live demo environments showcasing Amazon Connect AI agents.
• Build front-end experiences and back-end services, write REST APIs and web services, and integrate agentic and generative AI into working applications.
• Configure Amazon Connect AI agents end to end, covering agent creation, prompt engineering, guardrails, LLM evaluation and tuning, and memory and context management across turns and sessions.
• Deploy MCP servers that expose tools, data sources, and APIs in a standardized format for dynamic discovery and invocation; architect A2A patterns for multi-agent collaboration.
• Build serverless integrations with AWS Lambda, API Gateway, and Step Functions in Python and Node.js; secure access to DynamoDB, RDS, S3, OpenSearch, Kendra, and Bedrock for agent tool use and RAG.
• Apply least-privilege access, data protection, and guardrails, and ensure compliance with HIPAA and GDPR where relevant; align with Well-Architected pillars.
• Test and evaluate agent performance against defined success criteria for reliability and repeatability.
• Create reusable artifacts (reference architectures, playbooks, sample code, prompt libraries, data readiness checklists) for the Amazon Connect SA community and partner ecosystem.
• Collaborate with service teams and contribute to roadmap prioritization and knowledge sharing.

Skills

REST APIs

Full-stack development

AWS experience

LLMs / AI

APIs & web services

MCP / A2A protocols

Tools

MCP

A2A interoperability

AWS services

Job description

Amazon Connect, Applied AI is seeking a Senior Applied AI Solutions Architect in Austin, TX. You will design and deliver AI-first solutions, build working demos, reference architectures, and internal assets that help sales teams, customers, and partners understand how to use Amazon Connect AI capabilities.

You'll work full stack, build REST APIs, integrate with AWS services (Lambda, API Gateway, Step Functions, DynamoDB, S3, OpenSearch, Kendra, Bedrock), and ensure security and Well-Architected