Director, Forward-Deployed Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead a distinguished organization of diverse cross-functional engineering teams focused on tier-one healthcare clients.

• Take ownership of technical delivery, enterprise configuration, and operational success of an AI-powered platform within intricate healthcare ecosystems.

• Provide mentorship to engineering managers and technical leads on a global scale.

• Design and implement robust data ingestion pipelines.

• Configure sophisticated enterprise software solutions.

• Deploy production-ready, compliant AI agents in active healthcare settings.

• Recruit, mentor, and expand various customer-facing engineering teams across different regions.

• Optimize global resource deployment across health systems, payers, and life sciences clients.

• Enable teams to take ownership of, monitor, and execute implementation delivery plans from initial discovery to live production.

• Align engineering efforts with business and clinical metrics to enhance customer retention and achieve high NPS/CSAT scores.

• Establish organizational standards for data integrity, product quality, architectural assessments, and customer approval criteria.

• Support teams in developing high-throughput pipelines for both structured and unstructured healthcare datasets, including EHR notes, lab results, imaging metadata, and claims.

• Standardize frameworks for validating, sanitizing, deduplicating, and normalizing healthcare data for AI/ML utilization.

• Implement automated data quality testing and schema enforcement practices.

• Supervise platform configuration tailored to specific clinical workflows and healthcare operational taxonomies.

• Lead native platform deployments that integrate seamlessly with production EHR systems and provider workflows.

• Design scalable technical solution architectures for pre-sales and post-sales activities.

• Oversee forward-deployed development, local integration, optimization, and the fine-tuning of autonomous and semi-autonomous AI agents.

• Implement deployment-level guardrails and real-time monitoring to guarantee safe AI outputs.

⛳️ Requirements

• A minimum of 12 years in software engineering, technical consulting, or enterprise systems architecture.

• At least 5 years of experience in US Healthcare, HealthTech, or Digital Health sectors, directly working with clinical data ecosystems.

• A minimum of 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 in building, optimizing, and deploying enterprise-grade AI agents.

• Expertise in designing and managing both batch and real-time big data processing systems.

• Proficiency in pipeline orchestration.

• Familiarity with Medallion Architecture.

• Proficient in end-to-end ETL/ELT pipeline engineering.

• Operational knowledge of HL7, FHIR, C-CDA, and X12/EDI standards.

• Experience with clinical data ecosystems.

• Knowledge of LLM orchestration frameworks.

🏝️ Benefits

• PTO benefit accrual of 20 days per year.

• Parental leave.

• Monetary incentives and recognition for commitment and exceptional performance.

• Comprehensive medical, dental, and vision benefits.

• 100% company-paid short-term and long-term disability insurance.

• Basic life insurance coverage.

• Discounted legal aid services.

• Discounted pet insurance options.