Lead AI Engineer

The Mission

AtScale is the semantic layer for modern data and AI. We connect cloud data platforms like Snowflake, Databricks, and Google BigQuery with the business users, BI tools, and AI agents that need consistent, governed, AI-ready analytics. As GenAI moves from demos to production, the semantic layer is what makes an AI answer trustworthy.

The AI team is where that work happens, and we're looking for the engineer who will lead it.

The Role

We're hiring a Lead AI Engineer to lead the team that builds AtScale's GenAI capabilities.

This is a player-coach role: you'll set the technical direction for how large language models

and agents work with the semantic layer, plan and deliver the roadmap with your team,

and still write production code every week.

You'll work closely with product management, the core engine and platform teams, and

DevOps to turn AI ideas into features our customers rely on.

The Impact You'll Make

Lead the team. Hire, mentor, and grow a team of AI engineers. Set clear expectations,

give timely feedback, and build a culture where quality, ownership, and curiosity are

the norm.

Own technical direction. Define the architecture and standards for AtScale's GenAI

work including agent and tool-calling patterns, and evaluation.

Plan and deliver. Translate product goals into actionable plans, milestones, and sprint-

level work. Scope projects realistically, manage risk and dependencies, and keep

stakeholders informed on progress and trade-offs.

Build, hands-on. Design and productionize GenAI solutions using foundation model

APIs, and frameworks. Lead by example in design reviews and code reviews.

Raise the bar on quality. Establish how the team evaluates AI output for accuracy, bias,

latency, cost, and compliance. Build the measurement and observability that turns

model performance into numbers the team can improve.

Collaborate and integrate. Partner with DevOps, product, and software engineering

teams to integrate models into the AtScale platform, debug AI-generated responses,

and keep production running smoothly.

Represent the work. Communicate the team's direction and results to engineering

leadership, product, and customers, and step into technical customer conversations

when it helps.

Who You Are

• You've led engineers before, with 2+ years as a tech lead or engineering manager of an
• AI or ML team, and you still love to code.
• You have 10+ years of software engineering experience, including 7+ years developing
• AI algorithms or technologies, and you've shipped GenAI features to production at
• scale.
• You're fluent in Python and the modern GenAI stack: foundation model APIs, retrieval-
• augmented generation, embeddings, prompt and context engineering, and systematic
• evaluation.
• You're comfortable working with customers to debug their systems, with
• Docker/Kubernetes and Git/CI/CD experience.
• You turn ambiguous goals into plans people can execute, and you communicate clearly,
• in writing and in person, with engineers, product managers, and executives.
• You prefer quality over speed, keep current with AI tooling, and thrive in a fast-paced
• environment where priorities shift.
• You're based in, or can work, Eastern Time hours, overlapping with our core
• collaboration window of 10 AM to 5 PM ET. Candidates in EST or CST are preferred.
• Experience with semantic layers, BI, OLAP, or analytical SQL. You understand how
• analysts and business users actually query data.
• Hands-on work with natural-language-to-query systems, agent frameworks, or the
• Model Context Protocol (MCP).
• Familiarity with Scala or the JVM ecosystem, where AtScale's core engine lives.
• Experience building LLM evaluation harnesses, red-teaming, or AI governance
• programs for enterprise customers.
• Contributions to open-source AI tooling, or talks and writing on applied GenAI.
• Why You'll Love It Here
• Ownership and autonomy. You'll own the direction of a team, not just a backlog, and
• you'll have the room to make decisions that matter.
• Innovation-focused. We're building at the intersection of semantic layers and AI, and
• we encourage experimentation and new ideas.
• Flexible, remote-friendly culture. We're built on trust and results, not hours at a desk.
• The Perks
• Competitive salary plus equity.
• Unlimited PTO and comprehensive benefits.
• The chance to shape the future of a global leader in AI-ready analytics.
• Learn more at www.atscale.com.