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Senior Conversational AI / GenAI Architect

HAN IT Staffing Inc.New York, NY🇺🇸United StatesPosted Sep 26, 2026

Why This Role Stands Out

As a Senior Conversational AI / GenAI Architect, you will lead the design and delivery of cutting-edge AI solutions, leveraging your extensive experience in Java, Python, and cloud platforms. This role offers a significant opportunity to shape the future of conversational AI for a reputable company, making it ideal for seasoned architects passionate about innovation and impact. Apply now to contribute your expertise and advance your career in a dynamic technology environment.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
New York, NY, United States
Posted
2 weeks ago
MicroservicesAWSJavaLLMPythonREST

Job Description

Job Description: Senior Conversational AI / GenAI Architect

Location: New York, NY - Onsite role-Local only
Experience: 15–18 Years

 

Mandatory

Strong development background on Java/Python, and cloud like AWS 

Should have experience in conversation AI Langchain and Sierra framework

 

Role Overview

We are looking for an experienced Senior Conversational AI / GenAI Architect with 10–15 years of software engineering experience and strong expertise in Java, Python, and AWS. The ideal candidate will have hands-on experience building Conversational AI solutions using Sierra, along with experience in LangChain or similar AI/GenAI frameworks.

The candidate should have a strong understanding of system design, distributed systems, cloud architecture, and scalable enterprise applications and will be responsible for designing and delivering intelligent, enterprise-grade conversational experiences.

 

Key Responsibilities

  • Design, develop, and architect Conversational AI solutions using Sierra.
  • Build intelligent, context-aware conversational experiences leveraging LLMs, AI agents, and enterprise data sources.
  • Integrate Conversational AI capabilities with enterprise applications, APIs, databases, and backend systems.
  • Develop scalable applications and services using Java and Python.
  • Design and deploy cloud-native solutions using AWS.
  • Apply strong system design and architecture principles to build highly scalable, reliable, secure, and performant solutions.
  • Leverage Sierra and/or LangChain for AI orchestration, agent workflows, tool integration, and conversational experiences.
  • Design solutions involving LLM orchestration, RAG, prompt engineering, memory/context management, and AI agents.
  • Develop and integrate REST APIs and microservices required to support Conversational AI solutions.
  • Collaborate with product, engineering, data, and business teams to translate business requirements into technical solutions.
  • Evaluate emerging GenAI and Conversational AI technologies and recommend appropriate

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