Product Engineer

Johnson & Johnson Johnson & Johnson · Pharma · Hyderabad, Andhra Pradesh, India

Product Lead Engineer at Johnson & Johnson Innovative Medicine R&D IT, responsible for designing, developing, and implementing AI and generative AI solutions for Safety, Regulatory, and Clinical functions. The role involves integrating cloud computing and automation, staying updated on AI advancements, and working hands-on with business partners and data scientists. Requires 2-5 years of experience in AI, generative AI, cloud computing, automation, and software development, with proficiency in Python, Java, or C++, and cloud platforms.

What you'd actually do

  1. Lead the design, development, and implementation of AI and generative AI solutions to address complex business problems in Safety, Regulatory, and Clinical functions.
  2. Collaborate with multi-functional teams to integrate cloud computing and automation technologies into our products and services.
  3. Stay abreast of the latest advancements in AI, cloud computing, and automation, and apply this knowledge to enhance our product offerings.
  4. Develop and maintain product roadmaps, ensuring alignment with customer needs and market trends.
  5. Work hands-on with business partners, data scientists, software engineers, and other partners to define technical requirements and specifications.

Skills

Required

  • AI
  • generative AI
  • cloud computing
  • automation
  • software development
  • software engineering
  • machine learning algorithms
  • neural networks
  • AI frameworks
  • AWS
  • Azure
  • Google Cloud
  • Python
  • Java
  • C++
  • data structures
  • Kubernetes
  • Docker
  • CI/CD pipelines
  • problem-solving
  • strategic thinking
  • analytical skills
  • communication skills
  • interpersonal skills
  • teamwork
  • project management

Nice to have

  • Pharmaceutical Industry -- Clinical, Safety, Regulatory
  • Analytical Reasoning
  • Business Behavior
  • Execution Focus
  • Model-Based Systems Engineering (MBSE)
  • Problem Solving
  • Process Oriented
  • Product Design
  • Requirements Analysis
  • Research and Development
  • SAP Product Lifecycle Management
  • Scripting Languages
  • Software Development Life Cycle (SDLC)
  • Software Development Management
  • Software Engineering Practices
  • Software Testing
  • Systems Development Lifecycle (SDLC)
  • Technical Writing
  • Technologically Savvy

What the JD emphasized

  • AI and generative AI
  • cloud computing
  • automation

Other signals

  • AI and generative AI solutions
  • cloud computing and automation technologies
  • latest advancements in AI, cloud computing, and automation
  • machine learning algorithms, neural networks, and AI frameworks
  • cloud platforms such as AWS, Azure, or Google Cloud