2 дня назад
Principal Applied AI Engineer (Healthcare)
230 000 - 280 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Applied AI Engineer (Healthcare): Defining technical strategy and architecture for agentic AI workflow infrastructure across a healthcare product portfolio with an accent on LLM evaluation, deployment, safety, monitoring, and AI governance. Focus on setting organization-wide standards, solving high-ambiguity platform problems, evaluating emerging models, and mentoring Staff-level engineers.
Location: Palo Alto, United States — hybrid
Salary: $230,000–$280,000 per year, plus equity and benefits.
Company
builds generative AI infrastructure for healthcare, including AI governance guardrails, healthcare-specific agent creation, and real-time algorithm monitoring.
What you will do
- Define multi-year technical strategy and architecture for agentic workflow infrastructure supporting more than 100 product workflows.
- Represent applied AI engineering in product direction, build-versus-buy, and platform investment decisions.
- Set engineering standards for LLM evaluation, deployment, safety, monitoring, and AI governance.
- Serve as a technical escalation point for complex, high-ambiguity problems across product lines.
- Evaluate emerging models, frameworks, and techniques, including OpenAI, Anthropic, and Mistral offerings.
- Mentor Staff-level engineers and shape the technical career ladder for applied AI roles.
Requirements
- Deep software engineering foundation with Python required.
- 8+ years of production software experience, including 4+ years building and scaling AI-powered or LLM-driven applications in production.
- Experience setting technical direction and standards adopted across multiple teams.
- Deep expertise in MLOps, model deployment, and workflow automation at an organizational or platform level.
- Ability to operate autonomously on ambiguous, high-stakes technical and strategic problems and influence leadership-level decisions.
- Bachelor’s degree with 10 years of experience, or a master’s degree with 8 years of experience, in Computer Science, Engineering, or a related field, or equivalent experience.
Nice to have
- Recognized expertise in applied AI or agentic systems through talks, publications, open source, or platform-level roles.
- Experience building AI infrastructure in a regulated or high-stakes domain such as healthcare or finance.
- Experience founding or scaling a technical function in a startup environment.
- Experience mentoring Staff-level engineers and shaping technical career ladders.
Culture & Benefits
- Mission-driven environment focused on transforming healthcare with AI.
- Hybrid work options and flexible working hours.
- Competitive salary with equity packages.
- Medical, dental, and vision insurance.
- Inclusive environment focused on creativity and innovation.
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