GenAI Solution Architect | Insurance / Re-Insurance

TESTINGXPERTS, INC. DBA DAMCOSOFT
Warren, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Warren, United States of America

Tech stack

Java
Artificial Intelligence
Amazon Web Services (AWS)
Architectural Patterns
Azure
Cloud Computing
Cloud Engineering
Computer Programming
Continuous Integration
Cursor (Graphical User Interface Elements)
Python
Node.js
Management of Software Versions
Data Logging
Google Cloud Platform
Spring Cloud
Multi-Agent Systems
Prompt Engineering
Spring-boot
Software Security
Generative AI
Containerization
AI Platforms
Kubernetes
Machine Learning Operations
Virtual Agents
REST
Network Server
Docker
Microservices

Requirements

Mandatory skill - Agentic AI Frameworks Langchain, LangGraph, CrewAI, Vertex.AI, Autogen etc.)

Good to have skills can be mentioned here : Cloud Native, Microservice Architecture

Role: Gen AI Architect New Jersey Full Time Only

  • 15+ years in software/solution architecture, proven experience as a Data Scientist or ML Engineer with exposure to agent-based AI systems.
  • Design & Implement Agentic AI systems using agent frameworks (AutoGen, LangGraph, CrewAI, etc.) to build multi-agent and goal-oriented systems.
  • Proficiency in Prompt Engineering, few-shot prompting, chain-of-thought reasoning, and prompt templates.
  • Familiarity with cloud-native AI platforms from AWS, Azure, or Google Cloud Platform (e.g., Bedrock, Azure OpenAI, Vertex AI).
  • Experience on AI for Engineering & working with AI Code Assist tools (e.g., Copilot, Windsurf, Cursor)
  • Experience working with Vector databases & design & deploy RAG pipelines, MCP Servers & A2A Implement robust LLMOPs - for continuous integration, deployment, monitoring, logging, and troubleshooting mechanisms for GenAI applications.
  • Develop and promote reusable architectural patterns, best practices, and governance frameworks for GenAI development.
  • Lead the end-to-end architectural design of Generative AI applications, ensuring scalability, performance, security, cost-effectiveness, and maintainability.
  • Proficiency in containerization technologies (Docker, Kubernetes) and CI/CD pipelines.
  • Must have experience working with Microservice architecture using Spring Boot Rest APIs & know API Security, Versioning
  • Must have experience designing CloudNative applications on any cloud such as AWS, Azure, Google Cloud Platform, Spring Cloud, PCF
  • Programming proficiency in Python (preferred), and optionally Java/Node.js for integration.
  • Collaborate with Data Scientists, Product Owners, and Business SMEs to translate business problems into AI-powered solutions.
  • Exceptional communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences

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