Principal AI / ML Platform Engineer

Job Description

Job Description

Role Overview

The Principal AI / ML Platform Engineer is responsible for build and delivery of the next generation of Natera's Generative AI and ML platforms. This is a hands-on technical leadership role at the intersection of engineering excellence, platform design, and applied GenAI / ML innovation. This role requires deep expertise in AI engineering at scale, with a passion for building robust, compliant, and high-performance systems that directly impact patient outcomes and clinical innovation.

You will design, build, and scale enterprise-grade Gen AI and ML platforms and services that power internal workflows (R&D, Lab Ops, Clinical Trials, Billing, Patient / Provider engagement) and external-facing AI / ML products. As the most senior leader in the AI / ML engineering team, you will also set technical standards, mentor engineers, and drive adoption of cutting-edge techniques such as retrieval-augmented generation (RAG), advanced prompt engineering, vector search, GenAI governance, evaluation frameworks, ML / LLMOps, model experimentation, observability, and compliance-first AI pipelines. You will be responsible for development of a production-ready AI platform with reusable components used to deploy multiple AI solutions across Natera's business units in a federated approach. You will also develop clear standards and best practices established for AI / ML development across the organization.

Key Responsibilities

AI / ML Platform Architecture & Design

Define the technical vision and architecture for Natera's ML and GenAI platforms, ensuring scalability, reliability, and compliance across diverse use cases

Build, operate, and evolve core AI platform components for standardized data access, LLM model registries for versioning and lifecycle tracking, evaluation pipelines for model validation and monitoring, vector databases, RAG frameworks, and agent frameworks for GenAI applications, prompt orchestration and guardrails for safe and compliant LLM deployments

Design, build, and operate end-to-end ML / DL / FM infrastructure (feature engineering, distributed training, evaluation, deployment, monitoring) that are modular, reproducible, and auditable.

Design, build, and operate reusable GenAI services such as unstructured data extraction, classification, summarization, generation, retrieval from knowledge bases, prompt optimization etc.

Hands-On Engineering & Solution Delivery

Implement production-grade Gen AI and ML services and API's that power critical workflows, from genomics analytics to clinical trial optimization to patient-facing solutions.

Lead the deployment and scaling of large models (custom trained LLMs, multimodal, deep learning) using modern MLOps practices (Kubernetes, MLflow, AWS-native services)

Deliver retrieval-augmented generation (RAG), agentic runtime, agent orchestration frameworks, and domain-specific copilots in compliance-ready environments.

Optimize inference latency, throughput, and cost-efficiency through infrastructure design and algorithmic improvements.

Build online and offline evaluation frameworks to ensure performance and real world utility

Governance, Security & Compliance Integration

Embed governance and monitoring guardrails into AI and ML pipelines, including bias testing, safety, security, hallucination, explainability, PHI / PII redaction, audit trails

Partner with the Head of Data & AI Governance to ensure adherence to HIPAA, CLIA, CAP, FDA, GxP, GDPR, and emerging AI regulations.

Establish automated checks and controls in the CI / CD and SDLC processes to maintain compliance-by-design.

Technical Leadership & Mentorship

Act as the principal technical authority in AI / ML engineering — set coding standards, review designs, and ensure best practices in reproducibility, monitoring, and observability.

Mentor and guide other engineers and data scientists, providing thought leadership on system design, optimization, and responsible AI.

Influence cross-functional roadmaps by partnering with Product, Data Governance, and Engineering leadership to align delivery with business needs.

Innovation, Research & Tooling Strategy

Evaluate and integrate emerging AI / ML technologies (foundation models, multimodal AI, biomedical reasoning agents, federated learning).

Lead build vs. buy assessments for AI / ML tooling and platforms; integrate open-source or vendor solutions where appropriate.

Prototype and productionize new approaches (e.g., foundation model fine-tuning, GenAI copilots for lab workflows, advanced monitoring frameworks).

Represent Natera's AI / ML technical capabilities externally at conferences, publications, and industry forums.

Qualifications

Required :

12+ years in software / data / ML engineering, with 8+ years in AI / ML engineering at scale.

Expertise in building production-grade ML / LLM systems on AWS tech stack (E.g. Python, LangChain / Llamaindex, CrewAI, Vector databases, Agent runtimes, TensorFlow / PyTorch, Spark, MLflow).

Proven track record with GenAI / LLMs : fine-tuning, RAG, prompt orchestration, safety guardrails, monitoring, and cost optimization.

Deep knowledge of AI / ML intensive systems, distributed architectures, and cloud-native development.

Familiarity with AI governance frameworks, LLM safety, drift detection, bias detection, hallucination, explainability, and compliance (e.g., HIPAA, CLIA, FDA).

Strong grounding in compliance-first engineering in healthcare, biotech, or diagnostics preferred.

Excellent ability to influence across teams, mentor engineers, and set technical standards.

Preferred :

Advanced degree (MS / PhD) in Computer Science, AI / ML, engineering or related field.

Experience in healthcare, pharma, diagnostics, or other regulated industries.

The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

Remote USA

$174,400—$218,000 USD

OUR OPPORTUNITY

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

WHAT WE OFFER

Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!

For more information, visit www.natera.com.

Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.

All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.

If you are based in California, we encourage you to read this important information for California residents.

Link : https : / / www.natera.com / notice -of-data-collection-california-residents /

Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.

For more information :

• BBB announcement on job scams
• FBI Cyber Crime resource page