Role Overview

We are hiring an AI Architect to lead the design and evolution of enterprise-grade AI platforms and GenAI systems at scale. This is a high-impact, architecture-first role focused on solving real-world AI problems beyond POCs—owning system design, production maturity, evaluation frameworks, and governance. You will define how AI systems are built, deployed, observed, and scaled across the organization

Key Responsibilities

Architecture & System Design

Define end-to-end architecture for LLM-powered platforms, copilots, and agent-based systems
Design scalable RAG architectures (retrieval, grounding, response orchestration)
Architect multi-agent systems integrating enterprise tools, APIs, and workflows

GenAI Platform & Knowledge Systems

Own the design of enterprise knowledge systems powered by LLMs and vector databases
Implement advanced retrieval strategies (hybrid search, re-ranking, context optimization)
Design memory, context management, and reasoning pipelines for complex workflows
Optimize systems for accuracy, latency, reliability, and cost at scale

Evaluation, Observability & Governance

Define and implement evaluation frameworks for RAG systems, agents, and copilots
Establish AI observability including traceability, monitoring, and feedback loops
Build guardrails, hallucination mitigation, and responsible AI controls

Cloud, MLOps & Production Engineering

Architect deployment pipelines on AWS (Bedrock, OpenAI, and equivalent services)
Design systems for scale, resilience, and high availability using microservices
Ensure production readiness: monitoring, rollback strategies, and cost optimization

Technical Leadership & Strategy

Act as the AI/GenAI technical authority across engineering teams
Mentor engineers and guide teams on best practices, trade-offs, and design choices
Drive AI roadmap, platform vision, and enterprise adoption strategy

Requirements:

Candidate Profile

• 10–15 years of experience in software engineering, AI, or data platforms (8+ years in AI/ML, 2–4 years in GenAI/LLM systems)
• Proven track record designing and deploying production-grade AI/ML systems at scale
• Hands-on ownership of GenAI / LLM-based systems in production environments

• RAG architectures (end-to-end: ingestion → retrieval → generation)
• LLM orchestration, prompting strategies, and system design
• Vector databases and retrieval optimization

Preferred Skill

• Architecture-first expereince focused on solving real-world AI problems beyond POCs

About Aurigo

Aurigo is an AI-native capital program management platform trusted by over 300 customers managing more than $450 billion in capital programs across North America. With over 40,000 projects delivered, Aurigo helps organisations in transportation, water and utilities, healthcare, higher education, and government plan, build, and manage infrastructure with confidence. Recognised as one of the Top 25 AI Companies of 2024 and a Great Place to Work for three consecutive years, we leverage artificial intelligence to create smarter, more connected outcomes. At Aurigo, we don't just build software — we help shape the future of infrastructure.

Aurigo Software Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable law.