AWS Amazon Connect, AI Engineer

The Motley Fool

Engineer developing AI-driven member service workflows at The Motley Fool. Designing and deploying automated features in Amazon Connect environments.

Posted 5/27/2026contractRemote • 🇺🇸 United StatesMid-LevelSenior💰 $110 - $115 per hourWebsite

Tech Stack

Tools & technologies

AWSDynamoDBMicroservicesPythonTerraform

About the role

Key responsibilities & impact

Deliver phase-one AI capabilities in our existing Amazon Connect environment, focusing on AI-first call handling, intelligent routing, and autonomous resolution of common login, account, and password-reset queries.
Design AI-first workflows for voice and email that prioritize autonomous resolution, allowing the system to intelligently decide when to handle a request end-to-end and when to route to an agent.
Leverage our existing call recordings and transcripts to extract real interaction patterns and customer language to ground the AI in actual member needs.
Build elegant handoff patterns that preserve a member's interaction history, intent, and attempted actions so they never have to repeat themselves.
Write clean, production-ready Python backend code and AWS Lambda integrations to handle secure account lookups, validation, and CRM updates.
Integrate Amazon Connect workflows with HubSpot and other internal systems to equip the AI agent with real-time customer context.
Establish a reusable metadata and session strategy to enrich ongoing and future interactions with purchase history and communication logs.
Tune RAG (Retrieval-Augmented Generation) patterns and Bedrock Knowledge Bases to keep AI responses grounded in approved policies and procedures.
Implement practical guardrails that keep AI responses focused on approved topics and apply secure verification steps for sensitive workflows.
Deploy and manage AWS resources using CloudFormation, CDK, or Terraform, ensuring version-controlled deployments of Connect flow JSONs.
Author clean, clear architecture runbooks, deployment procedures, and prompt configurations to ensure the wider team can easily operate your work.
Lay the technical foundations for future authenticated transactions like billing updates, self-service cancellations, and payment processing.

Requirements

What you’ll need

Strong production experience designing, building, and deploying Amazon Connect contact flows, queues, and routing profiles.
Hands-on experience working with Amazon Connect generative AI capabilities, including Amazon Q in Connect, post-contact summaries, and prompt guardrails.
Expert-level Python skills, particularly for AWS Lambda integrations and backend microservices.
Deep implementation experience across the AWS ecosystem, specifically Lex, Bedrock, DynamoDB, S3, Kinesis, CloudWatch, and IAM.
Strong working knowledge of Amazon Connect’s current agentic AI stack, including agentic self-service, Bedrock Knowledge Bases, and MCP.
Proven experience managing Amazon Connect deployments via Infrastructure as Code using CloudFormation, CDK, or Terraform.
Experience integrating contact center systems with enterprise CRMs (HubSpot preferred) and third-party SaaS APIs.
Experience designing voice and email as a unified conversation thread, designing custom session context models, or tuning prompts based on production sentiment analysis (preferred).
Experience with post-contact summaries, transfer summaries, or agent-assist capabilities (preferred).

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account The Motley Fool Website LinkedIn All Job Openings 501 - 1000 employees Founded 1993 💸 Finance 📱 Media 📚 Education 💰 $25M Private Equity Round on 2009-11 Finance
Media
Education The Motley Fool is a financial services company founded in 1993 by brothers Tom and David Gardner. It aims to make the world smarter, happier, and richer by helping millions of people attain financial freedom. The Motley Fool offers premium investing solutions, free market analysis on its website Fool. com, personal finance education, podcasts, and manages the non-profit Motley Fool Foundation. The company provides guidance on stock market news, investing strategies, retirement planning, and personal finance products, striving to empower investors through refreshing, engaging, and fun financial content. AWS Amazon Connect, AI Engineer Job not on LinkedIn 🔥 14 minutes ago 🇺🇸 United States – Remote 💵 $110 - $115 / hour ⏳ Contract/Temporary 🟡 Mid-level 🟠 Senior 🤖 AI Engineer AWS DynamoDB Microservices Python Terraform Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Deliver phase-one AI capabilities in our existing Amazon Connect environment, focusing on AI-first call handling, intelligent routing, and autonomous resolution of common login, account, and password-reset queries.
Design AI-first workflows for voice and email that prioritize autonomous resolution, allowing the system to intelligently decide when to handle a request end-to-end and when to route to an agent.
Leverage our existing call recordings and transcripts to extract real interaction patterns and customer language to ground the AI in actual member needs.
Build elegant handoff patterns that preserve a member's interaction history, intent, and attempted actions so they never have to repeat themselves.
Write clean, production-ready Python backend code and AWS Lambda integrations to handle secure account lookups, validation, and CRM updates.
Integrate Amazon Connect workflows with HubSpot and other internal systems to equip the AI agent with real-time customer context.
Establish a reusable metadata and session strategy to enrich ongoing and future interactions with purchase history and communication logs.
Tune RAG (Retrieval-Augmented Generation) patterns and Bedrock Knowledge Bases to keep AI responses grounded in approved policies and procedures.
Implement practical guardrails that keep AI responses focused on approved topics and apply secure verification steps for sensitive workflows.
Deploy and manage AWS resources using CloudFormation, CDK, or Terraform, ensuring version-controlled deployments of Connect flow JSONs.
Author clean, clear architecture runbooks, deployment procedures, and prompt configurations to ensure the wider team can easily operate your work.
Lay the technical foundations for future authenticated transactions like billing updates, self-service cancellations, and payment processing. 🎯 Requirements
Strong production experience designing, building, and deploying Amazon Connect contact flows, queues, and routing profiles.
Hands-on experience working with Amazon Connect generative AI capabilities, including Amazon Q in Connect, post-contact summaries, and prompt guardrails.
Expert-level Python skills, particularly for AWS Lambda integrations and backend microservices.
Deep implementation experience across the AWS ecosystem, specifically Lex, Bedrock, DynamoDB, S3, Kinesis, CloudWatch, and IAM.
Strong working knowledge of Amazon Connect’s current agentic AI stack, including agentic self-service, Bedrock Knowledge Bases, and MCP.
Proven experience managing Amazon Connect deployments via Infrastructure as Code using CloudFormation, CDK, or Terraform.
Experience integrating contact center systems with enterprise CRMs (HubSpot preferred) and third-party SaaS APIs.
Experience designing voice and email as a unified conversation thread, designing custom session context models, or tuning prompts based on production sentiment analysis (preferred).
Experience with post-contact summaries, transfer summaries, or agent-assist capabilities (preferred). Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Technical Lead, Data Modernization – AI Engineering 🔥 20 hours ago SYNCREON 10,000+ employees Website LinkedIn All Job Openings Technical Lead for Data Modernization & AI Engineering at a recruitment agency. Designing data transfer methodologies and leveraging AI for enhanced data processing. 🇺🇸 United States – Remote 💰 Venture Round on 2019-10 ⏳ Contract/Temporary 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor Apache AWS Cloud Distributed Systems Docker Java Kafka Kubernetes Microservices NoSQL Python SQL Technical Lead, Data Modernization – AI Engineering 🕒 3 days ago SYNCREON 10,000+ employees Website LinkedIn All Job Openings Technical Lead for Data Modernization & AI Engineering providing innovative staffing solutions. Focused on data transfer methodologies, AI integration, and strong stakeholder collaboration. 🇺🇸 United States – Remote 💰 Venture Round on 2019-10 ⏳ Contract/Temporary 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor Apache AWS Cloud Distributed Systems Docker Java Kafka Kubernetes Microservices NoSQL Python SQL AI Engineer 🕒 3 days ago Improvado 51 - 200 ☁️ SaaS 🤖 Artificial Intelligence 🤝 B2B Website LinkedIn All Job Openings Senior AI Engineer responsible for critical data pipeline infrastructure in marketing intelligence startup. Collaborating with AI tooling for optimizing development and enhancing system reliability. 🇺🇸 United States – Remote 💰 $22M Series A - Improvado on 2022-05 ⏳ Contract/Temporary 🟡 Mid-level 🟠 Senior 🤖 AI Engineer Distributed Systems Kubernetes Postgres Python SQL AI Engineer 🕒 6 days ago Blacksmith Agency 11 - 50 Website LinkedIn All Job Openings AI Engineer building internal automation systems on production frameworks at Blacksmith Agency. Fully remote role, engaging closely with engineering leadership to deliver automation workflows. 🇺🇸 United States – Remote ⏳ Contract/Temporary 🟢 Junior 🟡 Mid-level 🤖 AI Engineer 🚫👨‍🎓 No degree required Cloud JavaScript Node.js Python AI Engineer 🕒 May 15 Makai Labs 11 - 50 🤖 Artificial Intelligence 🏢 Enterprise ☁️ SaaS Website LinkedIn All Job Openings AI Engineer at Makai Labs helping build AI systems for enterprise automation. Collaborate with engineering and design teams on AI-powered products and tools. 🇺🇸 United States – Remote 💵 $115k - $130k / year ⏳ Contract/Temporary 🟡 Mid-level 🟠 Senior 🤖 AI Engineer Python View More AI Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

PythonAWS LambdaAmazon ConnectInfrastructure as CodeCloudFormationCDKTerraformDynamoDBS3Kinesis

Soft Skills

communicationproblem-solvingcollaborationattention to detailorganizational skills