辉瑞招聘-数字化与技术总监, 首席工程师-上海或北京或大连

Pfizer Pfizer · Pharma · Shanghai, China

This role is for a senior software engineer who will design, build, and maintain software systems, leveraging AI tools to enhance productivity and verifying AI-generated code. The role involves being embedded with business units (Commercial, Manufacturing, R&D) to act as a 'startup CTO', bridging product building and business problem-solving. Responsibilities include driving technical initiatives, developing technical leaders, shaping technology-driven business strategy, designing AI-augmented engineering workflows, establishing reliability and documentation standards, and driving process efficiency. The role emphasizes curiosity, outcome ownership, polymath orientation, precision communication, and systems thinking, with expert-level skills in business immersion, data integration, full-stack development, multi-audience communication, problem discovery, rapid prototyping, stakeholder management, and team collaboration. Practitioner-level skills include AI evaluation and verification.

What you'd actually do

  1. Drive delivery of the most critical technical initiatives, establish engineering delivery practices across the business unit, and be the technical authority on high-stakes projects
  2. Develop technical leaders, shape engineering talent strategy across the business unit, and build high-performing engineering teams
  3. Shape technology-driven business strategy, represent technical perspective at executive level, and be recognized as a bridge between engineering and business
  4. Design AI-augmented engineering workflows for your area, evaluate new AI tools, train engineers on effective AI usage, and balance speed with verification
  5. Establish SLOs/SLIs across teams, build resilient systems, lead reliability initiatives for your area, mentor engineers on reliability practices, and drive reliability culture

Skills

Required

  • Software Engineering
  • AI tools
  • AI-generated code verification
  • Business unit integration
  • Technical strategy
  • Architectural direction
  • Engineering delivery practices
  • Technical leadership development
  • Technology-driven business strategy
  • AI governance
  • AI evaluation standards
  • Data integration
  • Full-stack development
  • Multi-audience communication
  • Problem discovery
  • Rapid prototyping
  • Stakeholder management
  • Team collaboration

Nice to have

  • startup CTO mindset
  • external industry visibility
  • external thought leadership
  • external recognition for ownership culture leadership
  • external recognition for exceptional communicator

What the JD emphasized

  • AI-augmented engineering workflows
  • evaluate new AI tools
  • train engineers on effective AI usage
  • balance speed with verification
  • AI Evaluation & Verification
  • create evaluation standards and checklists
  • train engineers

Other signals

  • AI-augmented engineering workflows
  • evaluate new AI tools
  • train engineers on effective AI usage
  • balance speed with verification
  • AI Evaluation & Verification
  • create evaluation standards and checklists
  • train engineers