Iovance Biotherapeutics
Biotherapeutics
PrincipalAISystemsEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Principal AI Systems Engineer at Iovance Biotherapeutics. Skills: AI Systems Engineering, LLM Applications, RAG Systems, Production AI. Design AI systems. Build AI systems”
What You'll Achieve.
Deliver measurable business value; Improve operational productivity
Industry & Context.
Troubleshooting; Problem-solving; Analysis
Remain stationary, Move about inside office, Lift up to 10 pounds, Repetitive motion, Substantial wrist/hand movements
What They're Looking For.
Must Have
10+ years software/AI/ML engineering, 1+ years LLM application development, Production AI systems experience, Production RAG experience, Model Context Protocol experience, Frontier model families experience, Production Python experience, Modern Agile version control, CI/CD experience, Cloud platforms experience, MLOps tooling and practices, AWS data and AI services experience, Enterprise search and retrieval services experience
Nice to Have
AWS, Azure certifications, US regulatory requirements knowledge, 21 CFR Part 11 knowledge, GxP knowledge, HIPAA knowledge, FDA AI/ML expectations knowledge, Master's degree
What You'll Do.
Develop production AI systems
Deliver business value
Improve operational productivity
Design LLM applications
Apply least-privilege access
Own LLM security controls
Defend against prompt injection
Defend against jailbreaks
Redact sensitive data
Monitor AI system abuse
Ensure human oversight
Handle write-back actions
Uphold engineering practices
Version control prompts
Version control evaluation
Separate CI/CD environments
Produce reproducible builds
Evaluate Foundation Models
Produce recommendations
Conduct proof-of-concept
Implement technical controls
Operate technical controls
Manage AI system access
Control prompt changes
Control model changes
Monitor AI performance
Author technical documentation
Create architecture diagrams
Create data flow diagrams
Create evaluation reports
Create validation documentation
Contribute to AI Validation Playbook
Mentor junior engineers
Stay current on AI advances
Bring technical recommendations forward
How You'll Work.
Team & Collaboration
IT leads; Business process owners; IT Security; AI Governance Committee; Junior engineers
Communication Scope
Technical documentation; Fact-based recommendations
Process & Methodology
Agile, CI/CD
Full Job Description
Iovance Biotherapeutics aims to be the global leader in innovating, developing and delivering tumor infiltrating lymphocyte (TIL) therapy for people with cancer. We are pioneering a transformational approach to treating cancer by harnessing the ability of the human immune system to recognize and attack diverse cancer cells in each patient. The Iovance TIL platform has demonstrated promising clinical data across multiple solid tumors. We are committed to continuous innovation in cell therapy, including gene-edited cell therapy, which may be a promising option for patients with cancer. Overview This is a senior role responsible for the hands-on design, build, validation, and deployment of Artificial Intelligence (AI) systems at Iovance Biotherapeutics. This role is focused on execution — turning approved use cases into working, validated, production AI systems that deliver measurable business value. This role directly supports Iovance’s strategy to improve overall operational productivity. The ideal candidate is a deeply technical, hands-on senior engineer with demonstrated production experience designing and shipping Large Language Model (LLM) applications, Retrieval-Augmented Generation (RAG) systems, and modern AI integrations. This position works closely with IT leads, business process owners across Manufacturing, Quality, Regulatory Affairs, Clinical, Commercial, G treat evaluation as a first-class engineering deliverable, not an afterthought. Design and implement integrations between AI systems and Iovance enterprise systems using Model Context Protocol (MCP), APIs, and event-driven patterns, applying least-privilege access principles and partnering with IT Security on integration approval. Own and maintain LLM security controls for production AI systems, including input and output guardrails, prompt injection and jailbreak defenses, sensitive data redaction (PII, PHI, Iovance Confidential Information and Intellectual Property), content moderation, and abuse mon
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