Iovance Biotherapeutics

Biotherapeutics

PrincipalAISystemsEngineer

$175–200k United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Biotherapeutics
Problems you'll solve

Troubleshooting; Problem-solving; Analysis

Eligibility Requirements

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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