2 часа назад
Senior Director, Engineering (AI)
214 900 - 358 100$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Director, Engineering (AI): Building and shipping enterprise-scale AI/ML, LLM, agentic AI, and data integration systems for Pfizer's Medical Affairs portfolio with an accent on engineering standards, CI/CD, LLMOps/MLOps, and production reliability. Focus on leading an AI engineering organization, integrating enterprise data systems, enforcing responsible AI and regulatory controls, and solving complex delivery, security, compliance, and technical debt challenges.
Location: United States, New York City; hybrid work at a site 2 to 3 days per week. The role may also be based in Collegeville, Pennsylvania.
Annual base salary: $214,900–$358,100, plus a 22.5% bonus target and eligibility for a share-based long-term incentive program.
Company
is a global pharmaceutical and life sciences company developing medicines and healthcare solutions.
What you will do
- Own end-to-end engineering delivery for Medical Affairs' AI acceleration portfolio, translating architecture and product requirements into production-grade software.
- Lead the construction and deployment of agentic AI systems, LLM integrations, RAG pipelines, and enterprise data integrations.
- Establish engineering standards, coding practices, CI/CD pipelines, environment strategy, release management, and LLMOps/MLOps practices.
- Own production reliability, uptime, incident response, technical debt remediation, and engineering risk management.
- Partner with Solution Architecture, Product Management, Security, Compliance, platform teams, and workflow design stakeholders.
- Manage, coach, hire, and develop three Build Engineers and one Data Integration Engineer while building an AI-native engineering culture.
Requirements
- Permanent authorization to work in the United States is required; U.S. work visa sponsorship is not available.
- Bachelor's degree in Computer Science, Engineering, or a related field and 12+ years of progressive software or data engineering experience, including 4–5+ years in engineering leadership or management.
- Experience building and shipping production AI/ML or LLM-based systems at enterprise scale.
- Hands-on experience with AWS or Azure, API-first design, CI/CD, DevOps, LLMOps/MLOps, vector databases, RAG pipelines, and agent orchestration frameworks.
- Experience with enterprise data integration, pipeline development, people management, and Agile/Scrum delivery.
- Regular travel to offices, vendor offices, and team meeting locations may be required, with occasional off-hours work for global coordination or production incidents.
Nice to have
- Master's degree in a technical field.
- Pharmaceutical, life sciences, or other regulated-industry experience with GxP, HIPAA, and GDPR requirements.
- Experience with Veeva CRM, Salesforce Life Sciences Cloud, or Salesforce Marketing Cloud integrations.
- AWS or Azure architecture/developer certification, or Certified Scrum Master certification.
Culture & Benefits
- Hybrid work arrangement with site attendance 2 to 3 days per week.
- Health, prescription drug, dental, and vision coverage.
- 401(k) matching, additional retirement contributions, paid vacation, holidays, and personal days.
- Paid caregiver, parental, and medical leave.
- Eligibility for a performance bonus and share-based long-term incentive program.
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