Senior GenAI Platform Architect (Hybrid)

Apex Systems; Jersey City, Northern (NJ, KY); On-site; USD 200,579,000 - 209,175,000; Full time

Job summary

Everforth Apex Systems is seeking an Enterprise AI Architect to lead the end-to-end architecture of an enterprise GenAI platform. Hybrid role across Jersey City, NJ and Charlotte, NC, focusing on CFO/Treasury/Risk/Finance use cases and platform modernization.

The role drives scalable architecture, reusable patterns, and deployment of agentic/GenAI capabilities, with governance and security at the core. Strong expertise in AI/LLM, cloud-native, and DevSecOps is required.

Qualifications

• 10+ years software architecture and enterprise platform engineering experience.
• 5+ years designing AI/ML, GenAI, or advanced analytics platforms.
• Deep understanding of Generative AI and LLM architectures, RAG, and agentic frameworks.
• Knowledge of vector databases, distributed systems, and microservices.
• Familiarity with cloud-native architecture and OpenShift/Kubernetes.
• Strong experience with Python, REST APIs, Oracle, Redis, and caching.
• Proficiency in CI/CD and DevSecOps practices.

Responsibilities

• Serve as the technical authority for the AI ecosystem and related frameworks.
• Drive platform scalability and reliability for onboarding new AI use cases.
• Promote reusable architecture patterns across projects.
• Oversee deployment of agentic and GenAI capabilities.
• Ensure governance and security alignment with enterprise standards.
• Improve operational efficiency via AI-driven automation.

Skills

Software architecture

AI/ML platform design

GenAI / LLM architectures

Cloud-native architecture

Python

REST APIs

CI/CD

Security

Tools

LangGraph

LangChain

MCP

OpenShift

Kubernetes

Oracle

Redis

Job description

Everforth Apex Systems is seeking an Enterprise AI Architect to lead the end-to-end architecture of an enterprise GenAI platform. Hybrid role across Jersey City, NJ and Charlotte, NC, focusing on CFO/Treasury/Risk/Finance use cases and platform modernization.

The role drives scalable architecture, reusable patterns, and deployment of agentic/GenAI capabilities, with governance and security at the core. Strong expertise in AI/LLM, cloud-native, and DevSecOps is required.