Lead Engineer, AI & Business Intelligence

You will lead the build of platform components that do not exist today, including document ingestion and storage, indexing and vector search, semantic modeling, and system integrations. Many of these capabilities will leverage Databricks-native services, while others will require thoughtful integration with enterprise systems such as Confluence, Slack, and SSO via Entra.
** Responsibilities of a Lead Engineer:
*** Serve as the technical owner of Ovative’s RAG-based AI Analytics Platform, leading the system from initial design through production use.
* Partner closely with Product Management to translate ambiguous business questions into clear, feasible platform capabilities, framing options and tradeoffs (accuracy, latency, security, and cost) with clear connection to business outcomes
* Design and build new platform components, including:
* Document ingestion and storage services
* Indexing and vector database capabilities
* Semantic layer abstractions for governed analytics
* Orchestration logic coordinating retrieval, SQL generation, and model interaction
* Lead integrations with enterprise systems including:
*
* About the Role:

** In this role, you will be the technical owner of Ovative’s AI Analytics Platform, leading the design and delivery of a Retrieval-Augmented Generation (RAG) system and the supporting services required to make it secure, scalable, and usable across the business.

This role is intentionally hands-on and requires prior experience building RAG-style or AI-driven analytics systems. Ovative is early in this capability area, and this role is expected to bring proven architectural patterns and execution experience rather than learning them from scratch.

Knowledge sources (e.g., Confluence, internal file stores)
** Experience Needed*
* ** Requirements:
** 8+ years of experience in software engineering, data engineering, or applied analytics roles. Demonstrated experience designing and delivering RAG-based systems, search platforms, or AI-powered analytics applications in production.

Strong proficiency in Python and SQL, with experience building production data or platform services.

Experience integrating multiple systems and tools (data platforms, document systems, authentication, user interfaces). Experience utilizing large complex datasets in advanced AI models to surface insights and recommendations.

Familiarity with cloud data platforms (AWS, GCP, or Azure); experience with Databricks is strongly preferred.

Strong communication skills and comfort leading technical discussions across disciplines.

Experience operating AI systems in governed or compliance-sensitive environments.

Experience building or extending semantic layers for analytics or BI. Experience integrating enterprise tools such as Confluence, Slack, or similar collaboration platforms. At Ovative, we offer a transparent view into three core components of your total compensation package:
Base Salary, Annual Bonus, and Benefits. The salary range for this position below is inclusive of an annual bonus.

Actual offers are made with consideration for relevant experience and anticipated impact. Additional benefits information is provided below.

For our Lead Engineer positions, our compensation ranges from $111,000 to $186,000, which is inclusive of a 25% bonus.
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