GenAI Architect

Signature Consultants; Jersey (AR); On-site; USD 150,000 - 230,000; Full time

Job summary

Signature Consultants seeks a Senior System Architect to define and evolve the end-to-end architecture of an enterprise Gen 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.

The architect will serve as the technical authority for the AI ecosystem, including Knowledge Bases, RAG solutions, Agent Frameworks, MCP

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).
• Agentic AI frameworks (LangGraph, LangChain, MCP).
• Vector databases and embeddings.
• Distributed systems and microservices.
• Cloud-native architecture and OpenShift/Kubernetes.
• Strong experience with Python.
• REST APIs.
• Oracle and enterprise data platforms.
• Redis and caching technologies.
• CI/CD and DevSecOps practices.
• Experience delivering AI platforms within Financial Services, Treasury, Risk, or CFO organizations.
• 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.

Responsibilities

• Define and evolve the end-to-end architecture of the enterprise Gen AI platform.
• Drive platform strategy, application architecture, AI/LLM integration, and data architecture.
• Ensure security, scalability, and alignment with regulatory standards.
• Serve as the technical authority for AI ecosystem including Knowledge Bases, RAG, agent frameworks, and model orchestration.
• Lead platform modernization initiatives and MCP integrations.

Skills

Generative AI

LLM architectures

RAG

Agent Frameworks

Vector databases

Distributed systems

Cloud-native

Kubernetes/OpenShift

Python

REST APIs

Security/compliance

MCP integrations

LangGraph

LangChain

MCP

Tools

OpenShift

Kubernetes

LangChain

LangGraph

MCP

Job description

Position Summary
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.

Success Measures
Platform scalability and reliability.
Reduction in time-to-onboard new AI use cases.
Adoption of reusable architecture patterns.
Successful deployment of agentic and GenAI capabilities.
Compliance with enterprise governance and security standards.
Improved operational efficiency through AI-driven automation.
Delivery of strategic roadmap objectives.

Required 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)
• Agentic AI frameworks (LangGraph, LangChain, MCP)
• Vector databases and embeddings
• Distributed systems and microservices
• Cloud-native architecture and OpenShift/Kubernetes

Strong experience with:

• Python
• REST APIs
• Oracle and enterprise data platforms
• Redis and caching technologies
• CI/CD and DevSecOps practices

Desired Qualifications
Experience delivering AI platforms within Financial Services, Treasury, Risk, or CFO organizations.

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
• Prior experience leading large-scale platform modernization initiatives.

Enable Skills-Based Hiring No

Qualification Assessment

Must Have
Technical
MACHINE LANGUAGE
and 0 years
Python
and 0 years
REST API

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.