Lead Data Platform Engineer

$104,000 - $166,750/Yr

Johnson & Johnson - Raritan, NJ

Full-time - Mid Level

Raritan, NJ

Chemical Manufacturing

About the position

The Lead Data Platform Engineer at Johnson & Johnson will play a pivotal role in guiding the development of the AI/ML platform. This position involves collaboration with various teams to enhance workflows, define best practices, and ensure robust security measures. The engineer will also be responsible for designing scalable architectures and leading efforts in multi-modal AI, ultimately contributing to the company's mission of innovating healthcare solutions.

Responsibilities

• Guide critical aspects of the teams charter and strategy in developing the ML & AI Platform.
• Collaborate with Data Scientists, Applied ML, and Applied AI teams to understand their needs and prioritize initiatives that accelerate their workflows.
• Work with other engineering teams such as Cloud and Security to inform system design and integrate new systems into the enterprise stack.
• Define and develop standard methodologies and processes to support efficient team operations.
• Define advanced features such as automated machine learning (AutoML), distributed training, model optimization techniques, and APIs/SDKs for seamless integration of AI services.
• Collaborate with the data engineering team to design efficient data ingestion, preprocessing, and feature engineering pipelines.
• Ensure robust security measures, including model and data encryption, access controls, and compliance with Enterprise AI regulations.
• Lead efforts in multi-modal AI, incorporating text, image, audio, and video processing capabilities into the platform.
• Define and run a 12 month feature roadmap, balancing value creation and cost considerations.
• Work multi-functionally with executives, sales, product marketing, and customer success teams to meet objectives and communicate plans.
• Collect and analyze feedback from customers, partners, and other teams to craft requirements, features, and final products.
• Stay informed about evolving data platform technologies and industry trends to advise on strategic enhancements.
• Collaborate with J&J teams to create a robust, flexible architecture supporting current and future data products (e.g., unstructured data).
• Design and optimize the architecture using proven data platform methodologies, ensuring scalability, performance, and security.

Requirements

• Bachelors degree in computer science, Information Technology, Engineering, or related field is required; Masters is preferred.
• 5 years of infrastructure engineering experience, including more than 5 years in building, launching, and scaling enterprise AI solutions using ML/AI infrastructure services from leading cloud providers.
• Demonstrated ability in team management.
• 5 years of experience as an ML or Data Platform engineer focused on ML/AI.
• Expertise in MLOps and distributed systems, as well as cloud-native architectures.
• Proven track record in business partnership, effectively communicating and collaborating with customers, prospects, and partners.
• 5 years of engineering management experience, especially in ML/AI platform roles.
• Proven experience in LLM Ops and Generative AI applications and infrastructure.
• Strong technical competence, with the capability to understand and debate technical and product tradeoffs, and approach building scalable architectures.
• Passion for developing, coaching, and scaling team members.

Nice-to-haves

• Familiarity with one or more of the following AI/ML Tools & Libraries: Dataiku, AWS Sagemaker, Domino, Alteryx, SAS, TensorFlow, PyTorch, Scikit-learn, MLFlow.
• Experience with containerization and orchestration tools such as EKS Docker, Kubernetes, Helm, Argo Workflows.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• Short- and long-term disability insurance
• Business accident insurance
• Group legal insurance
• 401(k) retirement plan
• Vacation up to 120 hours per calendar year
• Sick time up to 40 hours per calendar year
• Holiday pay including Floating Holidays up to 13 days per calendar year
• Personal and Family Time up to 40 hours per calendar year