Senior Principal - AI Adoption

About Aurigo

Aurigo is revolutionizing how the world plans, builds, and manages infrastructure projects with Masterworks, our industry-leading enterprise SaaS platform. Trusted by over 300 customers managing $300 billion in capital programs, Masterworks is setting new standards for project delivery and asset management. Recognized as one of the Top 25 AI Companies of 2024 and a Great Place to Work for three consecutive years, we are leveraging artificial intelligence to create a smarter, more connected future for customers in transportation, water and utilities, healthcare, higher education, and the government, with over 40,000 projects across North America. 

At Aurigo, we don’t just develop software—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.

Description:

Aurigo is leading the charge in transforming enterprise SaaS for infrastructure, and AI is at the core of this revolution. With Aurigo Lumina, our AI copilot, we are redefining how infrastructure owners interact with Masterworks, driving smarter, faster, and more efficient decision-making. We have set up AI Labs to build AI-powered software and transform Aurigo into an AI-first company. We have AI initiatives across the products and platforms. We are seeking an experienced AI Adoption and Solution Architect to design and implement our AI/ML, Gen AI and agentic AI initiatives, with a focus on building pipelines, evaluation, and LLMOps. This role involves understanding existing products of Aurigo and design AI adoption strategies and architecting the solutions.

Requirements:

• 15+ years of progressive experience in AI/ML, with a strong track record as solution architect.
• 5+ years of experience with cloud data platforms for AI architecture, particularly AWS data services
• 3+ years of experience architecting MPP database solutions (Redshift, Snowflake, etc.)
• Experience in designing and implementing Gen AI solutions including autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines).
• Cloud-Native and Hybrid System Architecture, Microservices, RESTful APIs, Containerization (Docker, Kubernetes)
• Extensive hands-on experience with autonomous AI tools and frameworks: LangChain, Autogen, CrewAI, or architecting custom agentic frameworks.
• Working knowledge of data integration patterns and technologies (ETL/ELT, CDC)
• Proven experience with LLMOps/MLOps pipelines (e.g., Kubeflow, MLflow) and designing scalable deployment strategies for AI agents in production environments.
• Strong expertise with LLMs (e.g., GPT, Claude, Mistral)
• Deep understanding of planning algorithms, decision-making models, and agentic architectures.
• Familiarity in implementing LLM models in both on-premises and cloud systems AWS.
• Demonstrated capacity to optimize LLM models for resource usage, memory efficiency, and inference speed.
• Knowledge of orchestration tools (like Kubernetes) and containerization technologies (like Docker) for effective and scalable model deployment.
• Bachelor’s or master’s degree in computer science or a related field. 

Competencies