Amazon Connect Developer No C2C Onsite Role No Relocation

ZAnswer LLC

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profile Job Location:

Plano, TX - USA

profile Monthly Salary: Not Disclosed
Posted on: 27 days ago
Vacancies: 1 Vacancy

Job Summary

Senior Amazon Connect & Generative AI Engineer

Focus Areas: AWS Connect Bedrock LLMs AWS Lambda (Python/) Precision Routing Lex

Detail

Specification

Role

Senior Amazon Connect & Generative AI Engineer

Location

Jersey City NJ / Plano TX / Columbus OH (Onsite)

Job Type

Contract Engagement

Duration

Long-Term

Position Summary

We are seeking a highly experienced and technically proficient Senior Engineer specializing in the Amazon Connect platform and its integration with advanced Generative AI services. The successful candidate will be pivotal in designing implementing and optimizing intelligent cloud-native contact center solutions that deliver exceptional customer experiences. This role requires deep expertise in developing custom conversational AI interfaces using Amazon Lex and integrating large language models (LLMs) via Amazon Bedrock to build sophisticated agentic workflows and advanced routing strategies.

Technical Expertise (Required)

Candidates must possess in-depth knowledge and substantial hands-on experience in the following areas:

  • AWS Serverless Development: Expert proficiency in developing deploying and maintaining AWS Lambda functions using Python Java or to extend Amazon Connect functionality.
  • Amazon Connect Mastery: Strong command of the Amazon Connect SDK and API for programmatic interaction configuration management and developing custom integration points.
  • Intelligent Routing: Deep practical experience designing and implementing Amazon Connects Precision Routing schema to optimize contact distribution and enhance service level agreements (SLAs).
  • Conversational AI: Expertise in Amazon Lex chatbot development including leveraging the Lex API (via Lambda) to build and orchestrate complex multi-turn conversational flows.
  • Generative AI Integration: Mandatory hands-on experience integrating and utilizing Amazon Bedrock Bedrock Agent and Bedrock AgentCore for advanced conversational and workflow capabilities.
  • LLM Proficiency: Practical knowledge of various Large Language Models (LLM) including Claude Llama and OpenAI and proven skill in prompt engineering to fine-tune AI outputs for contact center use cases.
  • Contact Flow Design: Expert ability to design implement and optimize robust Amazon Connect Contact Flows for efficiency scale and high availability.

Core Competencies (Preferred)

  • Experience translating functional designs and technical wireframes into production-quality code.
  • Familiarity with cloud and container technologies including AWS (general services) Kubernetes Docker and potentially legacy platforms like Pivotal Cloud Foundry.

Interpersonal & Professional Skills

  • Autonomy and Initiative: Demonstrated ability to work effectively under own initiative with limited guidance in a dynamic high-volume and fast-paced environment.
  • Stakeholder Engagement: Proven capability to directly engage with clients and stakeholders for requirements gathering status reporting and technical advocacy.
  • Analytical Acumen: Well-developed analytical and complex problem-solving skills to troubleshoot debug and optimize contact center performance.
  • Communication: Strong oral and written communication skills suitable for technical and non-technical audiences.
  • Collaboration: Excellent team player effective at collaborating with distributed and virtual teams.
  • Adaptability: Flexibility to handle various work shifts and project demands (stretch) as required by the nature of contract development.
Senior Amazon Connect & Generative AI Engineer Focus Areas: AWS Connect Bedrock LLMs AWS Lambda (Python/) Precision Routing Lex Detail Specification Role Senior Amazon Connect & Generative AI Engineer Location Jersey City NJ / Plano TX / Columbus OH (Onsite) Job Type Contract Engagement Duration Lon...
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Key Skills

  • Experience Working With Students
  • Google Docs
  • Organizational skills
  • Classroom Experience
  • Data Collection
  • Materials Handling
  • Workers' Compensation Law
  • OSHA
  • Special Operations
  • Team Management
  • Experience with Children
  • Supervising Experience