Data /AI Engineer

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

R&D Product Development

Job Sub Function:

R&D Software/Systems Engineering

Job Category:

Scientific/Technology

All Job Posting Locations:

Hyderabad, Andhra Pradesh, India

Job Description:

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

Johnson & Johnson Innovative Medicine R&D IT is seeking a Product Lead Engineer located in Hyderabad, India. At the Johnson & Johnson Innovative Medicine, we take patient health and well-being to our core values. From clinical trials to regulatory approval and ongoing safety monitoring, we ensure every step of your drug’s journey is safe and effective. We bring together the best minds and pursue the most promising science.

Data AI Engineer is responsible for supervising product engineering and making software engineering decisions. They fulfill dual responsibilities as both an entrepreneur and implementer of technical solutions. They tackle complex business problems and intricate engineering challenges and shape the technical design. Their responsibilities include ensuring the product’s technical architecture, software development aligns with the technology roadmap and adheres to software engineering standards.

Key Responsibilities:

Responsibilities:

• Lead the design, development, and implementation of AI and generative AI

solutions to address complex business problems in Safety, Regulatory, and Clinical functions.

• Collaborate with multi-functional teams to integrate cloud computing and

automation technologies into our products and services.

• Stay abreast of the latest advancements in AI, cloud computing, and automation, and apply this knowledge to enhance our product offerings.

• Develop and maintain product roadmaps, ensuring alignment with customer needs and market trends.

• Work hands-on with business partners, data scientists, software engineers, and other partners to define technical requirements and specifications.

• Optimize product performance and scalability using cloud infrastructure and

automation tools.

• Analyze product performance metrics and user feedback to drive continuous

improvement.

• Provide technical guidance and mentorship to junior engineers, fostering a culture of learning and innovation.

• Communicate product vision and progress to partners, ensuring alignment with business objectives.

Qualifications

Education:

Bachelor’s or higher in Computer Science or similar (Engineering, Math, Physics, IT)

Experience and Skills:

Required:

• 2-5 years of proven experience in engineering roles with a focus on AI, generative AI, cloud computing, and automation.

• 2-5 years of proven experience of software development and software engineering

• Strong understanding of machine learning algorithms, neural networks, and AI

frameworks.

• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.

• Proficiency in programming languages such as Python, Java, or C++.

• Proficiency in data structures (e.g., Stack, Linked Lists, Trees, Graphs).

• Familiarity with automation tools and technologies (e.g., Kubernetes, Docker, CI/CD pipelines).

• Excellent problem-solv…