GCP GenAI or Agentic AI Architect

Arkhya Tech. Inc.; New Jersey; On-site; USD 180,000 - 230,000; Full time

Job summary

Arkhya Tech. Inc. is seeking an experienced GenAI / Agentic AI Solution Architect with 15+ years in software/solution architecture to design enterprise AI solutions.

You will lead multi-agent GenAI design, governance, and scalable, secure production deployments while collaborating with business, product, and data science teams to deliver AI-driven outcomes. This role requires strong communication and hands-on technical expertise. Strong cloud platform experience and API security are essential.

Qualifications

• 15+ years in software/solution architecture.
• GenAI architecture, governance, scalability, security, and performance.
• Experience with enterprise AI platforms and LLMOps.

Responsibilities

• Design and implement enterprise-scale multi-agent AI solutions.
• Build scalable, secure, and production-ready GenAI applications.
• Collaborate with business, product, and data science teams to deliver AI-driven solutions.
• Drive architecture best practices, LLMOps, and technical governance.

Skills

GenAI architecture & governance

Cloud AI platforms: AWS Bedrock, Azure

AI engineering tools: GitHub Copilot,\

Python

Java/Node.js

Microservices with Spring Boot REST AP

API security & versioning

Tools

Spring Boot

Job description

We're looking for an experienced GenAI / Agentic AI Solution Architect with 15+ years in software/solution architecture and strong expertise in designing enterprise AI solutions.

Must-Have Skills:

• Cloud AI platforms: AWS Bedrock, Azure OpenAI, or GCP Vertex AI
• AI engineering tools: GitHub Copilot, Cursor, Windsurf
• Python (preferred); Java/Node.js is a plus
• Microservices with Spring Boot REST APIs, API security & versioning
• Experience defining GenAI architecture, governance, reusable patterns, scalability, security, and performance

Good to Have:

Key Responsibilities:

• Design and implement enterprise-scale multi-agent AI solutions.
• Build scalable, secure, and production-ready GenAI applications.
• Collaborate with business, product, and data science teams to deliver AI-driven solutions.
• Drive architecture best practices, LLMOps, and technical governance.

Preferred Profile: Strong communication and stakeholder management skills with hands-on experience in enterprise AI architecture.