Senior AI Software Architect (LLM)

One of our clients — a stealth-mode startup developing the next generation of AI-powered data warehouses — is looking to hire a Principal Engineer to lead architecture initiatives.

The company is on a mission to redefine how enterprises access, interact with, and derive insights from their data by leveraging advanced AI and LLM (large language model) technologies.

Recently backed with $25M in seed funding from leading global investors, this startup is poised for major impact in one of the fastest-growing areas of enterprise technology.

About the Product

The product reimagines the data warehouse experience from the ground up, combining traditional data infrastructure with state-of-the-art AI capabilities. At its core, it’s an AI-native data platform that allows enterprise users to query, manipulate, and generate insights from data using natural language, agent-based orchestration, and autonomous data workflows.

By abstracting away complexity and automating data operations, the platform empowers teams—from analysts to engineers—to move faster, make smarter decisions, and scale effortlessly.

We’re looking for a Senior Software Architect to be part of a pioneering team that will lead the design and development of the product from the ground up. You’ll work directly with the founders to design and implement robust, scalable systems that form the backbone of our offering and have a chance to play a key role and make a big impact on the company’s product and technology.

Your Role

As a Senior Software Architect and founding team member, you will:

• Take ownership of designing and building a modern SaaS data platform from scratch
• Lead the architecture and system design of mission-critical components
• Develop intelligent features powered by LLMs, conversational AI, and autonomous agents
• Ensure the platform is scalable, secure, and enterprise-grade
• Collaborate closely with the founders and early team to define the product roadmap and technical vision
• Establish best practices in engineering, including testing, observability, CI/CD, and infrastructure automation

What We’re Looking For:

• 8+ years of experience in software engineering and architectural leadership
• Proven track record in building scalable enterprise SaaS platforms
• Deep hands-on experience in Python and a strong understanding of software design principles
• Expertise in distributed systems, cloud infrastructure (AWS, GCP, or Azure), and system security
• Ability to balance high-level strategic thinking with hands-on implementation

Nice-to-Haves:

• Experience with data infrastructure tools (e.g., dbt, Spark, Snowflake, Databricks)
• Exposure to NLP, LLMs, or GenAI applications