Amazon Connect -Agentic Voice AI

Impact Label Corporation
New York, NY, United States
about 1 month ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Amazon S3 Application Services Cloud Computing Cloud Engineering Continuous Integration Customer Data Management Microsoft Dynamics CRM Amazon DynamoDB Identity and Access Management Named Entity Recognition
+20 more
Network Service Azure Machine Learning Salesforce.Com Sentiment Analysis Core Voice Platform Amazon Connect Enterprise Software Applications Chatbots Large Language Models Multi-Agent Systems Prompt Engineering State Machines Generative AI Virtual Agents Cloudwatch Api Gateway Amazon Lex Natural Language Understanding Devsecops Servicenow

Requirements

Client is seeking a Lead Architect with deep expertise in Amazon Connect, Amazon Lex, Agentic Voice AI, Connect AI Agents, and Assisted NLU to lead the design and delivery of enterprise-scale conversational AI and contact center transformation initiatives. The ideal candidate will define architecture strategy, drive AI-powered customer experience modernization, and lead the implementation of intelligent voice and digital engagement solutions. This role requires hands-on experience architecting cloud-native solutions on AWS, integrating AI agents with enterprise systems, enabling autonomous and assisted customer journeys, and providing technical leadership across cross-functional teams. The candidate should possess strong stakeholder management skills and a proven track record delivering scalable, secure, and highly available contact center platforms. Key Requirements

  • 10+ years of overall technology experience with 5+ years in Contact Center and Conversational AI architecture
  • Hands-on expertise with Amazon Connect, Amazon Lex, Connect AI Agent, and Agent Assist capabilities
  • Experience designing and implementing Agentic Voice AI solutions for autonomous customer interactions
  • Strong knowledge of Assisted NLU, intent recognition, entity extraction, dialog orchestration, and conversational design
  • Experience with Generative AI services including Amazon Bedrock, foundation models, prompt engineering, and RAG architectures
  • Expertise in architecting voice, chat, IVR, self-service, and omni channel customer engagement solutions
  • Strong AWS experience including Lambda, API Gateway, Step Functions, S3, DynamoDB, CloudWatch, IAM, and networking services
  • Experience integrating contact center platforms with CRM, ERP, customer data platforms, and third-party applications
  • Proven ability to design scalable, secure, and highly available cloud-native architectures
  • Strong understanding of contact center KPIs, customer journey design, routing strategies, and workforce optimization concepts
  • Experience defining solution blueprints, technical standards, governance frameworks, and best practices
  • Ability to lead architecture reviews, technical workshops, and executive-level discussions
  • Experience managing onshore/offshore engineering teams and mentoring solution architects and developers
  • Strong communication, presentation, stakeholder management, and client-facing consulting skills
  • AWS certifications such as AWS Solutions Architect Professional or AWS Machine Learning Specialty preferred
  • Prior experience in financial services, healthcare, insurance, telecom, or large enterprise contact center environments preferred

Preferred Skills

  • Amazon Bedrock
  • Knowledge Bases and RAG
  • Real-time Agent Assist
  • Contact Center Analytics and Reporting
  • Speech Analytics and Sentiment Analysis
  • Multi-Agent Orchestration
  • AI Governance and Responsible AI
  • CI/CD and DevSecOps on AWS
  • Salesforce, ServiceNow, or Dynamics CRM integrations

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