Lead AI Architect: LLM Agents, SRE & Full-Stack

iVedha Inc.

Canada

On-site

CAD 120,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Opportunity for architectural influence
Working with cutting-edge AI models
Leadership opportunities

Job summary

A leading financial institution in Canada seeks an experienced Lead AI Engineer to drive AI system development in a regulated environment. This role involves architecting advanced AI solutions, implementing observability practices, and mentoring teams. Candidates should have over 8 years of engineering experience, expertise in LLM architectures, and strong leadership skills. Join a high-impact division to innovate in enterprise AI integration and compliance.

Qualifications

  • Experience with LLM applications in production environments.
  • Capability to implement Model Context Protocol (MCP) servers.
  • Understanding of financial data classification and compliance.

Responsibilities

  • Design AI systems with sophisticated multi-agent architectures.
  • Lead full-stack development of AI applications using Node.js and Python.
  • Implement observability stacks for performance metrics.

Skills

Deep understanding of LLM architectures
Prompt engineering and fine-tuning techniques
Experience building RAG and GraphRAG pipelines
Hands-on with the ELK Stack
Cloud-native architectures
Architectural influence in AI/ML systems

Education

Technical leadership or architectural experience
8+ years of progressive software engineering experience

Tools

Node.js
Python
Azure Kubernetes Service (AKS)
Elastic Stack
OpenTelemetry
Pinecone

Job description

A leading financial institution in Canada seeks an experienced Lead AI Engineer to drive AI system development in a regulated environment. This role involves architecting advanced AI solutions, implementing observability practices, and mentoring teams. Candidates should have over 8 years of engineering experience, expertise in LLM architectures, and strong leadership skills. Join a high-impact division to innovate in enterprise AI integration and compliance.
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