Senior AI Engineer
About The Position
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. In this role, you will be at the cutting edge of agentic AI and 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 related 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. Join us in our mission to transform the future of health!
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.
- 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.
Nice To Haves
- 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 timelines and expectations.
Responsibilities
- 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.
Benefits
- medical
- dental
- vision
- life insurance
- short- and long-term disability
- business accident insurance
- group legal insurance
- consolidated retirement plan (pension)
- savings plan (401(k))
- long-term incentive program
- Vacation –120 hours per calendar year
- Sick time - 40 hours per calendar year
- Holiday pay, including Floating Holidays –13 days per calendar year
- Work, Personal and Family Time - up to 40 hours per calendar year
- Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
- Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
- Caregiver Leave – 10 days
- Volunteer Leave – 4 days
- Military Spouse Time-Off – 80 hours
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What This Job Offers
Job Type
Full-time
Career Level
Senior
