Senior System Architect

Insight Global; Jersey City (NJ); On-site; USD 140,000 - 210,000; Full time

Job summary

Insight Global seeks a Senior System Architect to define the end-to-end architecture of an enterprise Gen AI platform supporting CFO, Treasury, Risk, and Finance use cases. You will drive platform strategy, data architecture, security, and production engineering while aligning with regulatory standards.

This role requires 10+ years in software architecture, 5+ years in AI/ML platform design, and strong Cloud-native experience with OpenShift/Kubernetes.

Qualifications

• Ten-plus years in software architecture within enterprise platforms.
• Five-plus years designing AI/ML or GenAI platforms for production use.
• Experience delivering AI platforms in Financial Services, Treasury, Risk, or CFO domains.
• Strong knowledge of GenAI, LLMs, RAG, vector databases, and cloud-native stacks.
• Experience with Oracle, Redis, and modern CI/CD/DevSecOps practices.

Responsibilities

• Own the target-state architecture and technical roadmap for the AI platform.
• Design scalable, resilient, and secure enterprise AI solutions.
• Define reference architectures, standards, patterns, and best practices.
• Lead architecture reviews, technology selection, and solution governance.
• Drive modernization initiatives across AI, cloud-native, and data platforms.

Skills

Software architecture

AI/ML platform design

Financial services AI

GenAI architectures

RAG architectures

Vector databases

Distributed systems

Kubernetes/OpenShift

Oracle DB

Redis caching

CI/CD/DevSecOps

Job description

The Senior System Architect for an enterprise level Gen AI solution will be responsible for defining and evolving the end-to-end architecture of the enterprise AI platform supporting CFO, Treasury, Risk, and Finance use cases. The role drives platform strategy, application architecture, AI/LLM integration, agentic workflows, data architecture, security, scalability, and production engineering while ensuring alignment with enterprise standards and regulatory requirements. The architect will serve as the technical authority for the AI ecosystem that this application covers, including Knowledge Bases, RAG solutions, Agent Frameworks, MCP integrations, document intelligence, structured data intelligence, model orchestration, and platform modernization initiatives.

Key Responsibilities:

• Own the target-state architecture and technical roadmap for the AI platform.
• Design scalable, resilient, and secure enterprise AI solutions.
• Define reference architectures, standards, patterns, and best practices.
• Lead architecture reviews, technology selection, and solution governance.
• Drive modernization initiatives across AI, cloud-native, and data platforms.

Required Skills & Experience

• 10+ years of software architecture and enterprise platform engineering experience.
• 5+ years designing AI/ML, GenAI, or advanced analytics platforms.
• Experience delivering AI platforms within Financial Services, Treasury, Risk, or CFO organizations.
• Deep understanding of:
  • Generative AI and LLM architectures
  • Retrieval Augmented Generation (RAG)
  • Vector databases and embeddings
  • Distributed systems and microservices
  • Cloud-native architecture and OpenShift/Kubernetes
• Strong experience with:
  • Oracle and enterprise data platforms
  • Redis and caching technologies
  • CI/CD and DevSecOps practices

Nice to Have Skills & Experience

• Experience with:
  • MCP-based tool integration architectures
  • Enterprise Knowledge Base solutions
  • Document Intelligence and OCR platforms
  • AI governance and model risk management frameworks
  • OpenAI, Azure AI, or enterprise LLM ecosystems