AI Solution Architect

Renaissance InfoSystems; Sydney; On-site; AUD 180,000 - 240,000; Full time

Job summary

Renaissance InfoSystems seeks an experienced AI Solution Architect to design and deliver scalable AI solutions in a large enterprise/telecom setting. You will define architecture, integrate LangChain/LangGraph, and ensure security and observability across the stack.

The role requires strong communication with stakeholders, 5+ years in solution architecture, and 1+ year in AI design, with preference for experience in RAG/Agentic AI architectures.

Qualifications

• 5+ years of experience in Solution Architecture, including 1+ year in AI solution design.
• Strong understanding of Advanced RAG and Agentic AI architectures.
• Familiarity with LangChain and LangGraph.
• Knowledge of Vector Databases and Graph Databases.
• Understanding of AI protocols including MCP and A2A.
• Exposure to AI Observability.
• Strong understanding of AI security controls and OWASP Top 10 for LLMs.
• Familiarity with MITRE ATLAS or NIST Risk Mitigation Framework is highly regarded.
• Strong communication and stakeholder management skills.

Responsibilities

• Design and deliver scalable AI solutions within enterprise-scale environments, including telecommunications.
• Collaborate with stakeholders across IT, security, and business units to define architecture and roadmaps.
• Ensure AI systems meet security, observability, and compliance requirements.

Skills

Solution architecture

AI solution design

Stakeholder management

Communication

Security controls

Tools

LangChain

LangGraph

Vector databases

Graph databases

Job description

We are seeking an experienced AI Solution Architect to design and deliver scalable AI solutions within a large-scale enterprise/telecommunications environment.

Key requirements:

• 5+ years of experience in Solution Architecture, including 1+ year in AI solution design.
• Strong understanding of Advanced RAG and Agentic AI architectures.
• Familiarity with LangChain and LangGraph.
• Knowledge of Vector Databases and Graph Databases.
• Understanding of AI protocols including MCP and A2A.
• Exposure to AI Observability.
• Strong understanding of AI security controls and OWASP Top 10 for LLMs.
• Familiarity with MITRE ATLAS or NIST Risk Mitigation Framework is highly regarded.
• Strong communication and stakeholder management skills.

Preferred background:

• Enterprise-scale or telecommunications environments with experience designing modern AI solutions.