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Belva

Director of AI

Belva

Director of AI owning the AI technology strategy for a B2B legal SaaS startup. Leading hands-on technical work and building a team of senior generative AI engineers.

Posted 5/8/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies
ETL

About the role

Key responsibilities & impact
  • Own the AI technology strategy, architecture, and execution for a small, highly technical startup
  • Report directly to the CTO
  • Build, ship, and scale applied AI in a company where the work is central to product success
  • Define and execute the technical AI roadmap
  • Deliver technical, product, and operational outcomes tightly aligned with company goals
  • Hire, mentor, and manage a small team of senior generative AI engineers
  • Partner closely with Product Management and Project Management
  • Lead architecture and implementation for core AI systems, including: LLM-based workflows, RAG systems, AI agents, Evaluation and testing systems, Observability and performance monitoring, Model selection and routing, Data ingestion and retrieval systems
  • Own major parts of the company’s data ingestion pipeline into platform storage and analytics systems
  • Build infrastructure to host LLMs in the company’s new data center environment
  • Establish strong experimentation and measurement practices for AI features
  • Serve as an internal evangelist for effective use of AI agents inside the engineering organization

Requirements

What you’ll need
  • 15+ years of experience in software engineering, machine learning, AI, or closely related technical fields
  • Meaningful prior engineering management experience
  • Proven track record building and shipping production AI/ML systems
  • Strong hands-on depth with modern AI systems, especially in areas such as: LLMs, generative AI applications, RAG agents, model evaluation, observability, data pipelines / ETL, vector, graph, and relational data systems
  • Experience selecting, integrating, and operating external AI vendors and services with cost accountability
  • Experience evaluating and deploying open-source models in production or near-production environments
  • Strong system design judgment and the ability to move fluidly between architecture, implementation, and operational execution
  • Comfort operating in an early-stage, pre-revenue startup where speed, ownership, and technical judgment matter
  • Ability to lead senior engineers while remaining deeply involved in design and execution.

Benefits

Comp & perks
  • AI is the core product capability
  • Hands-on leadership position
  • Opportunity to shape the technical direction
  • Partner closely with Product Management and Project Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
AI technology strategyarchitectureapplied AILLM-based workflowsRAG systemsAI agentsdata ingestionETLmodel evaluationobservability
Soft Skills
leadershipmentoringteam managementcollaborationtechnical judgmentcommunicationproblem-solvingadaptabilityownershipstrategic thinking