AI - Architect

Long Description

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:

1. 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

2. 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

3. 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

4. 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

5. 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:

Required Qualifications:

• 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

Core Technical Expertise

• RAG architectures (end-to-end: ingestion → retrieval → generation)
• LLM orchestration, prompting strategies, and system design
• Vector databases and retrieval optimization
• Agent frameworks such as LangChain, CrewAI, AutoGen, or equivalent
• Evaluation frameworks and metrics for AI systems
• AI observability, monitoring, and performance tuning
• Cloud platforms (AWS/Azure) and container orchestration (Kubernetes)
• Python / .Net and relevant ML/AI libraries and tooling

About Aurigo

Aurigo provides AI-native platforms that help capital owners connect planning, construction, and operations in a single environment, improving decision-making and execution. Trusted by over 300 organizations across federal, state, and local government, manufacturing, data centers, energy and utilities, and life sciences, we manage more than $450 billion in capital programs across 40,000+ projects in North America. Built on 20+ years of domain expertise, Aurigo has received multiple industry awards and has been certified as a Great Place to Work for three consecutive years.

At Aurigo, we go beyond building technology—we shape the future. If you're excited to join a fast-growing company and collaborate with some of the brightest minds in the industry to solve real-world challenges, let's connect.