Senior 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: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Titusville, New Jersey, United States of America Job Description: We are searching for the best talent for Senior AI Engineer to be in Titusville, NJ. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Purpose: The Commercial Data Sciences & Data Insights team within Johnson & Johnson Innovative Medicine Business Technology organization is looking for an extraordinary AI Engineer who is passionate about crafting, developing, and fielding data science and artificial intelligence solutions that drive impact for patients and for Johnson & Johnson. There are many ways to explore and analyze data, and this powers the excitement and passion of data scientists at J&J as many business units are eager to use the data to build business value. In this role you will be someone who stays on the cutting edge of agentic AI plus generative AI intelligent system designs and advanced analytics research through novel project execution and development of agents that influence decisions at various levels in the organization, including but not limited to distribution demands, omnichannel sales and marketing optimization, patient/payer analytics, commercial strategy, and relate commercially focused model development. The role requires both a broad knowledge of existing agentic design principles and the creativity to invent and customize when necessary. You will work with matrixed teams across business and technology, and be part of a dynamic, accomplished organization that will support multiple therapeutic areas and commercial functions. Come join us in our mission to transform the future of health! You will be responsible for: Delivering Agentic AI projects using generative AI technologies. Building end-to-end GenAI powered solutions that drive business value. Extract insights from pharmaceutical data and work with business stakeholders to implement model predictions in real-world deliverables. Identify appropriate use cases for data science initiatives and steer the creation, testing and support of models that deliver value through data-driven insights. Model creation, feature generation, data cleaning, and data exploration. Produce functionalized, reusable code for solutions across multiple brands. Partner closely with cross-functional teams, business partners, and vendors to deliver actionable solutions and to help shape data science and AI strategy. Act as a trusted-advisor communicating complex technical findings to business partners and translating insights into actionable business recommendations. Stay on the cutting edge of Machine Learning, Artificial Intelligence, and Data Science. Qualifications/Requirements: Ph.D. or M.S. with 3+ years of industry experience in Data Science, Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, Agentic AI development using the latest frameworks, Bioinformatics, or a related discipline. Experience with Agentic AI frameworks Langchain, Langgraph, Llamaindex and full stack AI Engineering using generative AI technologies, data mining and/or text mining. Experience working with LLMs from OpenAI, Claude, Gemini, Huggingface, Azure and AWS Bedrock. Experience delivering on Agentic AI projects using generative AI technologies. Strong working knowledge of machine learning and AI platforms/environments. Strong working knowledge of machine learning techniques such as regression, decision trees, probability networks, association rules, clustering, classification, forecasting, neural networks, and/or Bayesian models. Proficiency with Python and SQL. Proficient with source control platforms such as GitHub or BitBucket. Experience in the commercial pharmaceuticals business. Working knowledge of commercially available healthcare data sets (e.g., electronic medical records and medical/pharmacy insurance claims data). Experience working closely with business partners and vendors in a project management capacity. Experience delivering on data science projects using predictive technologies. You are passionate about new technical advances in Artificial Intelligence and are excited to apply them to solve problems. Ability to translate business needs into impactful data/technology use cases and products. Strong communication skills and ability to communicate complex methods and results to diverse audiences. Comfort working in a fast-paced environment with competing priorities, multiple stakeholders, matrixed teams, and evolving needs. Preferred Qualifications: Experience implementing AI-driven solutions: Evaluation, validation, and refinement of LLM frameworks and generative AI applications. Continual learning, prompting, and LLM fine tuning. Familiarity with open-source and gated/paid model landscape. Proven track record to deliver end-to-end Agentic AI projects from understanding business requirements, development, deployment, and management of post-launch operations. Experience with Agentic AI scaling architecture. Strong ability to establish relationships with business partners and understand their needs. Experience with vendor management – ensuring timeli