AWS Connect Agentic AI Engineer (Bedrock AgentCore)

Job Title: AWS Connect Agentic AI Engineer (Bedrock AgentCore)

Employment Type : 12 months + contract

Job Summary

We are seeking a highly skilled AWS Connect Agentic AI Engineer with deep expertise in Amazon Connect, Generative AI, and AWS Bedrock AgentCore to design, develop, and deploy next-generation AI-powered customer engagement solutions. The ideal candidate will have hands-on experience building autonomous AI agents, integrating conversational AI into contact center ecosystems, and leveraging AWS cloud-native services to create intelligent, scalable, and secure customer interaction platforms.

This role requires strong technical expertise in Amazon Connect, AWS Bedrock, AgentCore orchestration, LLM integrations, conversational workflows, and real-time AI automation.

Key Responsibilities

• Design, develop, and implement AI-powered customer engagement solutions using Amazon Connect and AWS Bedrock AgentCore.

• Build and orchestrate autonomous AI agents for customer service, support automation, and intelligent workflow execution.

• Integrate Large Language Models (LLMs) and Generative AI capabilities into contact center environments.

• Develop conversational AI workflows including voice bots, chatbots, virtual assistants, and agent assist solutions.

• Configure and optimize Amazon Connect components including contact flows, routing profiles, queues, and integrations.

• Implement Retrieval-Augmented Generation (RAG) architectures using AWS-native AI services.

• Integrate Bedrock Agents with enterprise systems, CRMs, APIs, and third-party platforms.

• Develop serverless and event-driven architectures using AWS Lambda, API Gateway, Step Functions, and related services.

• Collaborate with business stakeholders, architects, and cross-functional teams to gather requirements and deliver scalable AI solutions.

• Ensure security, governance, monitoring, and compliance across AI and cloud deployments.

• Troubleshoot production issues and optimize AI agent performance, latency, and accuracy.

• Create technical documentation, architecture diagrams, and deployment standards.

Required Skills & Qualifications

• 5+ years of experience in AWS cloud engineering and contact center technologies.

• Strong hands-on experience with Amazon Connect implementation and customization.

• Expertise with AWS Bedrock and Bedrock AgentCore.

• Experience building Agentic AI solutions and autonomous AI workflows.

• Strong understanding of LLMs, prompt engineering, RAG, vector databases, and conversational AI architectures.

• Hands-on experience with AWS services including:

  • AWS Lambda

  • API Gateway

  • Step Functions

  • DynamoDB

  • S3

  • CloudWatch

  • IAM

  • Lex

  • Kinesis

• Proficiency in Python, Node.js, or Java.

• Experience integrating AI solutions with enterprise applications and APIs.

• Knowledge of CI/CD pipelines and Infrastructure as Code (Terraform or CloudFormation).

• Strong debugging, analytical, and problem-solving skills.

• Excellent communication and stakeholder management abilities.

Preferred Qualifications

• AWS Certifications such as AWS Solutions Architect, AWS Machine Learning Specialty, or AWS AI Practitioner.

• Experience with Amazon Lex, OpenSearch, Pinecone, or vector databases.

• Familiarity with LangChain, Semantic Kernel, or multi-agent orchestration frameworks.

• Experience with real-time transcription, sentiment analysis, and agent assist technologies.

• Prior experience in enterprise contact center modernization initiatives.

Nice to Have

• Experience with Salesforce, ServiceNow, Zendesk, or CRM integrations.

• Knowledge of AI governance, responsible AI, and model monitoring.

• Exposure to DevOps and MLOps practices.

Benefits

• Opportunity to work on cutting-edge Agentic AI and Generative AI technologies.

• Collaborative and innovative engineering environment.

• Flexible work arrangements.