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We are looking for a Director of Applied AI Engineering to build and lead the team that puts AI into production- not as an experiment, not as an analytics layer, but as core product capability that transforms how One Call operates. This is a product engineering role. You will build systems that do things: parse a faxed referral in real time and extract structured clinical data from it. Classify incoming documents and route them without human intervention. Power agentic workflows that replace manual coordination with intelligent automation. Your team's work ships to production, runs at scale, and directly impacts the operational experience for adjusters, providers, and patients. This is not data warehousing, BI, or analytics function. You are building the AI-powered capabilities and platform primitives that product teas across One Call consume to create intelligent, automated experiences. You own the engineering foundation- the extraction pipelines, the classification models, the LLM orchestration patterns, the data contracts and quality standards- that make AI systems reliable, trustworthy, and production-grade. This role reports to the VP of Strategic Engineering.
Job Responsibility:
AI-powered document processing: Real-time extraction, classification, and enrichment pipelines that turn unstructured inputs (faxes, PDFs, clinical documents) into structured, actionable data- at production scale, with production reliability
LLM orchestration and operationalization: Production patterns for integrating large language models into business workflows- prompt management, output validation, guardrails, fallback strategies, and continuous evaluation
Intelligent automation capabilities: Agentic systems and AI-assisted decisioning that replace manual operational workflows with intelligent, auditable automation
AI Platform foundations: Shared data contracts, quality standards, and reusable services that ensure AI systems across One Call operate on consistent, trusted, well-governed information
Evaluation and observability: Metrics, monitoring, and feedback loops that make AI system behavior measurable, debuggable, and continuously improvable
The AI Platform strategy, technical direction, and execution- end to end
A growing engineering team (US and Mexico-based) of senior engineers building production AI systems
The standards and patterns that define how AI capabilities are built, tested, deployed, and monitored across the organization
Close partnership with Product, Architecture, and Application teams to ensure platform capabilities map to real business outcomes- not technology for its own sake.
Requirements:
Bachelor's degree or the equivalent combination of education, training, or work experience
7+ years of engineering leadership, including managing senior engineers or platforms teams
You've shipped AI to production
You think in products, not models
You've operationalized LLMs
You're comfortable in regulated environments
You're comfortable leading distributed teams
Ability to work in an environment that aligns with the company's diversity, equity, inclusion and belonging standards
Ability to work both independently and in a team environment
Demonstrate our core values of Think Big, Go Fast, Deliver Awe, Win Together and Care Deeply.