Senior AI/ML Engineer, Production AI (Contractor)

Confirmed live in the last 24 hours

Legend Biotech

Somerset, New Jersey, United States

Hybrid

Posted April 8, 2026

Job Description

Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics for patients worldwide.

Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma.

Legend Biotech is seeking a Senior AI/ML Engineer, Production AI (Contractor) as part of the IT team based in Somerset, NJ.

Role Overview

We are seeking a Senior AI/ML Engineer with strong experience delivering production-grade ML and Generative AI solutions. In this role you will do model development, design, deploy, monitor, and govern enterprise-ready ML and GenAI systems that are scalable, auditable, and compliant with internal AI policies and regulatory expectations.

You will help establish MLOps and GenAI Ops foundations, including evaluation, observability, and Responsible AI controls, enabling safe adoption of both predictive ML and GenAI use cases across the organization.

Key Responsibilities

AI/ML & GenAI Engineering

Design, build, and deploy production-grade ML and Generative AI solutions, moving from prototypes to hardened services.
Implement GenAI patterns such as:
- Retrieval-augmented generation (RAG).
- Prompt engineering and prompt versioning.
- Embedding pipelines and vector search.
- Secure API-based model access.
Ensure AI systems meet enterprise standards for scalability, performance, reliability, and security.