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Lead Architect – Amazon Connect / Amazon Lex / Agentic Voice AI /NLU

Siri Infosolutions IncUnited States🇺🇸United StatesPosted 22 Jul 2026

Why This Role Stands Out

This role offers an exceptional opportunity to lead cutting-edge conversational AI projects and shape the future of customer experience by leveraging your expertise in Amazon Connect, Lex, and Agentic Voice AI. You'll thrive here if you are a visionary architect passionate about building scalable, intelligent solutions and driving innovation within a dynamic hybrid work environment. Apply today to make a significant impact on enterprise-scale transformations.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Position: Lead Architect – Amazon Connect / Amazon Lex / Agentic Voice AI /NLU (Contract W2)

Location: Infosys HUB (OR) REMOTE

 

  • 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.
  • Preferred location is USA Eastern Time Zone.

 

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 omnichannel 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
  • Willingness to work within USA Eastern Time Zone business hours

 

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 



 

If you are interested, please share your updated Word resume along with the following details:

Full Name:
Current Location:
Work Authorization:
Hourly Rate (W2):
Availability to Start:
Interview Availability:
LinkedIn Profile:

Please send your resume to:

I would be happy to discuss the opportunity in more detail.

Thank you for your time and consideration. I look forward to hearing from you.

Skills

DynamoDB
API Gateway
AWS
Machine Learning
Salesforce
CRM
ERP
Generative AI
ServiceNow
Stakeholder Management

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