Application Architect III

Artech LLC

  • Jersey City, NJ
  • 5 days ago
  • $8–$80 Per Hour

Highlights

Serve as the technical authority for the AI ecosystem, including Knowledge Bases, RAG solutions, Agent Frameworks, MCP integrations, and document intelligence. Drive platform strategy, application architecture, AI/LLM integration, agentic workflows, data architecture, security, scalability, and production engineering.

Numbers & Facts

LocationJersey City, NJ
Salary$8–$80 Per Hour

Description

Location:

TBD

Salary Range:

TBD

Introduction

Join our team as a Senior System Architect for an enterprise-level Gen AI solution. You will be responsible for defining and evolving the end-to-end architecture of our AI platform, supporting CFO, Treasury, Risk, and Finance use cases. This role requires a specific start date due to business needs, with an expectation to start 2-4 weeks after the offer. This is a hybrid role requiring a minimum of 3 days per week on-site.

Required Skills & Qualifications

  • 10 years of 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, Retrieval Augmented Generation (RAG), and Agentic AI frameworks.
  • Proficiency in distributed systems, microservices, cloud-native architecture, and OpenShift/Kubernetes.
  • Strong experience with Python, REST APIs, Oracle and enterprise data platforms, Redis, and caching technologies.
  • Prior work experience in Financial Services, Treasury, Risk, or CFO organizations.
  • Applicants must be able to work directly for Artech on W2.

Preferred Skills & Qualifications

  • Experience delivering AI platforms within Financial Services, Treasury, Risk, or CFO organizations.
  • Experience with MCP-based tool integration architectures, Enterprise Knowledge Base solutions, and Document Intelligence and OCR platforms.
  • Familiarity with AI governance and model risk management frameworks, OpenAI, Azure AI, or enterprise LLM ecosystems.
  • Prior experience leading large-scale platform modernization initiatives.

Day-to-Day Responsibilities

  • Drive platform strategy, application architecture, AI/LLM integration, agentic workflows, data architecture, security, scalability, and production engineering.
  • Ensure alignment with enterprise standards and regulatory requirements.
  • Serve as the technical authority for the AI ecosystem, including Knowledge Bases, RAG solutions, Agent Frameworks, MCP integrations, and document intelligence.

Company Benefits & Culture

  • TBD
  • TBD
  • TBD

For immediate consideration please click APPLY to begin the screening process with Alex.

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