Johnson & Johnson is committed to healthcare innovation to prevent, treat, and cure complex diseases with smarter and less invasive treatments
Job Summary
Johnson & Johnson is committed to healthcare innovation to prevent, treat, and cure complex diseases with smarter and less invasive treatments.
The role involves leading end-to-end delivery of enterprise GenAI/ML products while partnering closely with business leaders to co-frame problems and influence solution strategy.
The position requires staying on the cutting edge of AI, data science, and software engineering to improve organizational performance and commercial effectiveness.
Matching Summary
Johnson & Johnson is committed to healthcare innovation to prevent, treat, and cure complex diseases with smarter and less invasive treatments.
Skills & Requirements
Must-have
GenAI solution design and engineering
Prompt engineering and LLM integration
Python programming and PySpark proficiency
DevOps automation with Kubernetes and Jenkins
Cloud platform experience with AWS and Azure
Full-stack GenAI application development
Technical leadership and mentorship
Nice-to-have
Strong communication and collaboration skills
Self-motivated and able to work with ambiguity
Experience with DataBricks and Azure ML
Knowledge of AI red teaming and LLM monitoring
Strategic thinking and tactical planning
Mentorship and team capability building
Key Requirements
Over 7 years software development experience
Hands-on experience with software development toolkits and DevOps
Proven track record in GenAI solution building
Excellent programming skills in Python and PySpark
Strong leadership and influence capabilities
Experience with Kubernetes, Airflow, Jenkins, Jira, Confluence, and Git