Amazon Connect -Agentic Voice AI
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Role details
Tech stack
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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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