Head of AI Deployment

🕒 April 24

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

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Vi

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

☁️ SaaS

Artificial Intelligence • Healthcare Insurance • SaaS

Vi is a company that leverages artificial intelligence to help health organizations improve member health outcomes and financial returns. The company provides an AI SaaS platform that offers solutions for efficient acquisition, personalized engagement, and predictive retention throughout the member lifecycle. Vi focuses on maximizing acquisition, enrollment, engagement, retention, upsells, and health outcomes with superior ROI. Their platform is designed to lower the cost per acquisition, enhance member engagement and retention, and transform operations with their generative AI technology. Vi works with leading global health enterprises to drive results at scale while ensuring privacy and data security standards are met.

📋 Description

• Build, hire, and mentor a high-performing organization of Applied AI Engineers. • Own the department charter, ROI performance, and technical best practices. • Own and manage the technical success of agentic AI deployments, ensuring systems are HIPAA-compliant, scalable, and deeply integrated with client EHR/EMR, CRM, and claims data systems. • Act as the primary technical executive for strategic enterprise accounts, translating complex business workflows into production-ready AI configurations. • Partner with Sales and Growth teams to lead technical discovery, underwrite high-ROI use cases, and drive expansion/upsell opportunities within existing accounts. • Collaborate with Platform Engineering and Product teams to turn field-derived configuration patterns into reusable components and platform improvements. • Oversee the design of robust data ingestion pipelines, real-time agent infrastructure, and output guardrails to ensure agents remain compliant and safe.

🎯 Requirements

• 10+ years in hands-on engineering & delivery leadership in high-stakes environments; proven end-to-end ownership of outcomes. • Strong Deep AI/ML fluency — deploying, fine-tuning, and optimizing models at scale, including proprietary models, custom agents, and 3rd-party frontier models (e.g. Anthropic, Bedrock etc.). • Agentic systems expertise — building and operating production AI agents (multimodal, voice/text, operational workflows) with orchestration, guardrails, and evaluation. • Strong backend + data foundation — TypeScript/Python/SQL; APIs, real-time services, and scalable data pipelines (ETL/ELT, streaming). • Real-time & distributed systems — event-driven architectures, WebSockets/streaming, high-throughput production systems. • Cloud & data stack depth — AWS (S3, K8s, SageMaker), Spark/Iceberg/ClickHouse, AI tooling; strong infra/compute tradeoff judgment. • Healthcare & compliance — EHR/EMR, claims, pharmacy integrations; HIPAA/SOC2, PHI handling and auditability. • Client-facing + team leadership — leads enterprise engagements and high-talent FDE teams; translates workflows into scalable, ROI-driven systems; thrives in 0→1 and scale environments.