Senior Software Engineer, AI Governance

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $125k - $156.3k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Natera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2004

🏥 Healthcare

🧬 Biotechnology

⚕️ Healthcare Insurance

Healthcare • Biotechnology • Healthcare Insurance

Natera is a global leader in cell-free DNA testing technology, specializing in non-invasive genetic testing and diagnostics. The company's innovative solutions focus on areas such as prenatal screening, cancer detection, and organ transplant monitoring. By using advanced bioinformatics and DNA analysis, Natera provides healthcare professionals and patients with critical information to make more informed medical decisions.

📋 Description

• Design, build, and own the guardrail layer inside Natera's LLM Gateway, including content filtering, output validation, PHI/PII detection, prompt injection defenses, session retention, and audit logging • Engineer governance controls for agentic runtime and RAG infrastructure, including policy enforcement hooks, risk-based output routing, retrieval filtering, citation integrity checks, and PHI exposure prevention • Instrument platform controls with observability for filtering, flagging, escalation, and risk-profile drift • Ensure AI platform controls meet HIPAA, RAQA, and Natera data classification requirements at design time • Design and implement automated AI risk intake, scoring, tiering, and review-path routing aligned to NIST AI RMF, CHAI, and the EU AI Act • Build and maintain an auditable AI Risk Register • Build monitoring for production AI use cases, including accuracy tracking, drift detection, misuse alerting, and escalation thresholds • Build and maintain AI incident response tooling for detection, alert routing, decision logging, and remediation tracking • Run AI use-case intake and evaluate new use cases against the risk-tiering model • Facilitate high-risk use-case reviews with the AI Governance Board and produce recommendations and controls • Maintain risk questionnaires, scoring rubrics, and tiering criteria • Own technical due diligence for AI vendors and foundation model providers • Maintain vendor AI risk assessment frameworks and AI-specific contractual controls • Help write and maintain Natera's AI acceptable-use policy • Advise teams on practical engineering requirements for AI governance • Report to the Head of AI & Data Governance and collaborate with platform engineering, Legal, Privacy, RAQA, and business teams

🎯 Requirements

• 7+ years of software engineering experience, including at least 3 years working directly in AI/ML systems, LLM infrastructure, or AI safety and governance engineering • Hands-on experience building production AI systems, including LLM pipelines, RAG architectures, agentic runtimes, or AI observability and monitoring infrastructure • Practical understanding of production LLM risks, including hallucination, bias, prompt injection, data leakage, and model drift, with experience building technical mitigations • Proficiency in Python and experience building API-level integrations, middleware, and production data pipelines • Experience with ML observability and monitoring, including model instrumentation, drift thresholds, and alerting • Experience in a regulated environment such as healthcare, life sciences, or financial services, with HIPAA or equivalent compliance obligations and hands-on PHI/PII data handling • Working knowledge of NIST AI Risk Management Framework (AI RMF 1.0) or ISO 42001, applied through implementation of controls • Ability to write technical specifications and documentation for engineers and Legal • Nice to have: LLM gateway architectures, RAG pipeline controls, content moderation systems, or agentic AI safety infrastructure • Nice to have: AI red-teaming, adversarial testing, or structured model evaluation • Nice to have: Trust and safety infrastructure or ML monitoring platforms such as Arize, Fiddler, Whylogs, or similar • Nice to have: Diagnostics, genomics, or clinical AI experience • Nice to have: HIPAA, FDA GxP, CLIA, PMDA, or GDPR-compliant systems experience • Nice to have: CIPP, CIPT, or recognized Responsible AI credentials

🏖️ Benefits

• Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents • Free testing for employees and immediate families • Fertility care benefits • Pregnancy and baby bonding leave • 401(k) benefits • Commuter benefits • Employee referral program