Head of applied ai engineering

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Head of Applied AI Engineering

Location: United States — Remote, working US time zones; Israel — Remote, working Israel hours. Remote-first role with approximately 10–20% travel and quarterly team offsites in New York. No relocation support.

Company Stage of Funding

Growth-stage, profitable AI company Founded: 2017 Total Funding: $50M+ Team Size: Approximately 100 employees Industry: AI, Healthcare, Life Sciences Business Scale: $100M+ revenue, with an ambition to scale to $500M.

Office Type

Remote-first. Candidates must be based in the United States and work US time zones, or be based in Israel and work Israel hours. The company maintains a small New York office and holds quarterly team offsites in New York. Expect approximately 10–20% travel to support enterprise clients, team collaboration, and strategic business needs.

Salary

$300,000–$365,000 base salary. The company is flexible on compensation and may go higher for exceptional candidates. In addition to base salary, the role includes an annual performance-based bonus and competitive equity.

Equity

Competitive equity package. The company offers periodic secondary equity sales approximately every 18–24 months, allowing employees to sell a portion of their vested shares before an IPO or other liquidity event. The stated program allows employees to sell up to 20% of vested shares during these events, subject to the applicable program terms.

Visa

Open to visa transfers, including OPT and H-1B transfers. Candidates must be able to work from the United States in US time zones or from Israel in Israel hours. No relocation support is available.

Employment Type

Full-time

Company Description

This company is building an AI execution platform for healthcare, life sciences, and wellness. Its mission is to turn fragmented healthcare data into precise, measurable action within the enterprise systems organizations already use. Healthcare organizations have access to extensive patient data, treatments, and scientific research, but executing on that information remains difficult. The platform connects data, AI, and operational workflows to help healthcare enterprises move from insight to action.

The company supports healthcare organizations, life sciences companies, and wellness businesses across complex workflows. Its work spans patient engagement, scheduling and routing, conversational AI, patient recruitment for clinical trials, and predictive targeting. Rather than simply providing dashboards or analytics, the platform integrates AI capabilities into existing enterprise systems to drive measurable outcomes.

The company reports supporting more than 190 million patients and members, generating over $2 billion in measurable value, and contributing to the development and launch of more than 50 life-changing drugs. It is a profitable, growth-stage business with a significant opportunity to expand its impact as healthcare organizations adopt AI-driven execution.

The organization has approximately 100 employees and operates across AI, healthcare, and life sciences. Its technical stack includes Python, TypeScript, Node.js, SQL, PostgreSQL, Redis, LangChain, LangGraph, AWS, S3, Kubernetes, SageMaker, Spark, Iceberg, ClickHouse, Anthropic, and Amazon Bedrock. Its work also involves healthcare systems such as EHRs and EMRs, with an emphasis on HIPAA and enterprise-grade data handling.

The company is entrepreneurial and ownership-driven. It values high-agency builders who move quickly, operate with low ego, and take responsibility for both product outcomes and business impact. Engineers are expected to make meaningful architectural decisions, work directly with customers, and translate complex business needs into production AI systems.

What You Will Do

1. Build and Ship Production AI Systems
2. Develop Agentic AI and Conversational Systems
3. Build Predictive AI and Machine Learning Systems
4. Integrate AI Into Enterprise Healthcare Systems
5. Establish and Lead the Applied AI Engineering Team
6. Serve as the Technical Executive for Strategic Clients
7. Support Commercial Growth and Enterprise Expansion
8. Shape Technical Strategy and Engineering Culture

Ideal Candidate Background Experience Requirements

10+ years of hands-on software engineering experience. At least a couple of years of people management experience. Strong background in applied AI, machine learning, data science, or production AI engineering. Experience taking AI/ML systems from experimentation through production deployment. Experience building agentic systems, LLM applications, or other AI-powered products. Demonstrated ability to remain hands-on while leading engineers and technical initiatives. Experience working with enterprise customers or solving complex customer-specific technical problems. Experience in healthcare, health insurance, health systems, life sciences, or pharmaceuticals. Entrepreneurial startup experience, ideally with exposure to scaling a company through significant growth. Strong communication skills and executive presence, with the ability to engage both technical teams and senior business stakeholders. Ability to connect technical implementation to customer outcomes and commercial objectives.

Education Requirements

No specific degree or university requirement has been provided. Prioritize demonstrated engineering ability, production AI/ML experience, technical leadership, and business impact over educational credentials alone. Relevant experience in machine learning, data science, computer science, or applied AI can be valuable, but the ability to build and lead production systems is the central requirement.

Compensation & Benefits

Base salary of $300,000–$365,000, with flexibility to go higher for exceptional candidates. Annual performance-based bonus; the company indicates approximately 10% of total compensation as a reference point. Competitive equity package. Periodic secondary equity liquidity events approximately every 18–24 months, allowing employees to sell a portion of vested shares under the applicable program. Remote-first working environment for eligible candidates in the United States or Israel. Access to modern AI development tools, including Claude Code, Gemini, and other AI engineering tools. Quarterly team offsites in New York. High autonomy and ownership over architectural and product decisions. Opportunity to build and lead a new Applied AI Engineering function. Direct exposure to strategic enterprise healthcare and life sciences customers. Opportunity to contribute to a profitable AI company with substantial scale and ambitious growth plans. Approximately 10–20% travel, depending on customer and team needs.

Why Join

Build and lead a new Applied AI Engineering organization: Establish the forward-deployed engineering function and define how the team builds, deploys, and scales production AI systems. Remain deeply hands-on: Spend approximately 75% of your time building real systems while shaping technical standards and mentoring engineers. Solve meaningful healthcare problems: Apply AI and machine learning to workflows that affect patients, healthcare providers, insurers, and life sciences organizations. Work with large-scale proprietary data: Build predictive systems and precision-targeting capabilities using approximately 1.2 petabytes of data. Work on production agentic AI: Develop LLM applications, voice agents, and multimodal conversational systems that integrate with enterprise infrastructure. Influence business growth: Work directly with strategic customers and help support enterprise deals, adoption, and expansion. Operate with high ownership: Join a culture that values initiative, low ego, rapid execution, and direct responsibility for outcomes. Shape technical direction: Make meaningful architectural and product decisions rather than working within a narrowly defined engineering scope. Join a profitable, scaled AI company: Help take an established business from more than $100 million in revenue toward its next stage of growth. Access meaningful equity opportunities: Participate in competitive equity compensation and periodic secondary liquidity events. Build a team with lasting impact: Recruit, mentor, and develop engineers while establishing the standards for an important new technical function.