Director Forward-Deployed Engineering

Overview

Lead multiple cross-functional, customer-facing engineering teams delivering the AI-driven platform for tier-one healthcare customers, owning technical delivery, enterprise configuration and operational outcomes.

What you'll do

• Hire, mentor and scale multiple customer-facing engineering teams across regions, optimizing global resource allocation across health systems, payers and life sciences clients.
• Empower autonomous teams to own, track and execute implementation delivery plans from discovery to live production.
• Focus engineering execution on business and clinical metrics such as reducing administrative burden and improving workflow efficiency.
• Establish organizational standards for data integrity, product quality, architectural reviews and customer sign-off criteria.
• Guide teams in building high-throughput pipelines to ingest structured and unstructured datasets (EHR notes, lab results, imaging metadata, claims) via HL7, FHIR and DICOM.
• Standardize validation frameworks to sanitize, deduplicate and normalize heterogeneous healthcare data for AI/ML consumption.
• Implement automated data-quality testing and schema enforcement protocols to intercept data corruption or format mismatches pre-ingestion.
• Oversee platform configuration, tailoring core software to specific clinical workflows and healthcare operational taxonomies.
• Lead native platform deployments into complex enterprise ecosystems, integrating with production EHR systems and provider workflows.
• Design scalable pre-sales and post-sales technical solution architectures that align customer requirements with platform capabilities.
• Oversee forward-deployed development, local integration, optimization and fine-tuning of autonomous and semi-autonomous AI agents using LLM orchestration frameworks.
• Enforce a high rollout bar including deployment-level guardrails, real-time monitoring and safe outputs.

What you'll need

• 12+ years in software engineering, technical consulting or enterprise systems architecture.
• 5+ years within US Healthcare, HealthTech or Digital Health sectors, working directly with clinical data ecosystems.
• 5+ years managing a manager-of-managers organization or multiple concurrent, customer-facing technical delivery teams.
• Bachelor's degree in Computer Science, Biomedical Engineering, Health Informatics, or equivalent practical experience.
• Hands-on experience building, optimizing and deploying enterprise-grade AI Agents.
• Proficiency in designing and managing batch and real-time big data processing systems, pipeline orchestration, Medallion Architecture and end-to-end ETL/ELT pipeline engineering.
• Operational knowledge of healthcare standards such as HL7, FHIR, C-CDA and X12/EDI.

Details

• Location: United States.
• Benefits include 20 days of PTO per year, parental leave, and medical, dental and vision coverage with company-sponsored short and long-term disability and basic life insurance.