AI Solutions Architect: LLM & Multi-Agent Systems

Zohorecruit

Jersey City (NJ)

On-site

USD 140,000 - 180,000

Full time

4 days ago
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Job summary

Zohorecruit in Jersey City, NJ, seeks an AI Solution Architect to design and deliver scalable AI-powered platforms. You will build LLM and agent-based solutions, integrate with APIs and databases, and ensure production-grade reliability.

Ideal candidates have multiple years in production software engineering (Python/TypeScript/Java), hands-on experience with major AI platforms (Anthropic/OpenAI/Google/Microsoft), and a penchant for bridging rapid prototyping with robust, maintainable engineering

Qualifications

  • Several years of production software engineering experience in Python, TypeScript, Java, or comparable stacks.
  • Hands-on experience building LLM and agent-based solutions on major AI platforms.
  • Design and develop AI solutions using LLMs and agentic architectures.
  • Experience with major AI platforms such as Anthropic, OpenAI, Google, or Microsoft.
  • Experience with agent orchestration frameworks and custom tool integrations.
  • Experience with data and retrieval pipelines, workflow automation, or model deployment.
  • Vendor certification in a major AI platform such as Anthropic, OpenAI, Google, or Microsoft.

Responsibilities

  • Help design, build and continuously improve the clients online platform.
  • Research, suggest and implement new technology solutions following best practices/standards.
  • Take responsibility for the resiliency and availability of different products.
  • Be a productive member of the team.

Skills

Python
TypeScript
Java
LLM architectures
Production delivery
API integration

Tools

Anthropic
OpenAI
Google Cloud
Microsoft Azure
Agent orchestration frameworks
MCP servers

Job description

Zohorecruit in Jersey City, NJ, seeks an AI Solution Architect to design and deliver scalable AI-powered platforms. You will build LLM and agent-based solutions, integrate with APIs and databases, and ensure production-grade reliability.

Ideal candidates have multiple years in production software engineering (Python/TypeScript/Java), hands-on experience with major AI platforms (Anthropic/OpenAI/Google/Microsoft), and a penchant for bridging rapid prototyping with robust, maintainable engineering

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