Natera · 1 month ago
Principal AI Software Engineer, Enterprise AI Platform
United States
Full-time
Remote
Lead/Staff
$174K/yr - $218K/yr
12+ years expNatera is a global leader in cell-free DNA testing, dedicated to oncology, women’s health, and organ health. The Principal AI Software Engineer will be responsible for building and delivering Natera’s enterprise agentic AI platform, designing core architecture, and enabling both low-code and pro-code workflows for AI solutions.
BiotechnologyGeneticsHealth DiagnosticsMedicalWomen's
Responsibilities
Design and implement the core architecture of the Enterprise AI Platform — low code, modular, scalable, and secure
Build the agent orchestration runtime, including task queues, state management, and inter-agent communication
Architect for long-running, resilient AI workflows, enabling agents to execute and monitor multi-step, asynchronous processes
Develop APIs and services for automation, evaluation, and agent lifecycle management
Establish DevOps, CI/CD pipelines, and configuration management to ensure smooth deployment at scale
Build an intuitive visual builder that allows business users to compose agent workflows through drag-and-drop and configuration
Provide a developer extension layer where engineers can author and deploy agents in code (Python, TypeScript) directly into the same framework
Ensure both low-code and pro-code workflows share common infrastructure for orchestration, evaluation, and governance
Surface workflow traces, model evaluations, and output explanations directly in the user interface
Support iterative experimentation, evaluation-based comparison, and rollback through integrated version control
Build a robust orchestration system supporting both short-lived agent calls and long-running AI agents that persist over time to automate complex processes
Enable orchestration of multiple agents with shared state, scheduling, dependency resolution, and event-driven execution
Connect agents to core enterprise systems to perform real-world actions securely
Implement mechanisms for persistence, checkpointing, recovery, and human-in-the-loop interventions
Design human-in-the-loop and self-assessment mechanisms for continuous prompt and workflow improvement
Architect an evaluation-first framework for monitoring and improving AI agent performance across all workflows
Integrate with Model Context Protocols (MCPs) to enable plug-and-play connectivity with external systems and actions
Build services to retrieve information from unstructured data using vector databases and retrieval pipelines
Implement automated systems for prompt tuning, evaluation, and feedback loops to ensure reliable results
Build modular APIs for AI services such as unstructured document processing, information retrieval, information summarization, data extraction, content generation, classification etc
Architect an evaluation-first framework for monitoring and improving AI agent performance across all workflows
Create shared, composable AI primitives (e.g., document loaders, semantic routers, extractors) to accelerate workflow design
Enforce governance, security, and compliance principles (SOC2, HIPAA, GDPR) across all platform operations
Implement RBAC, audit logging, and lineage tracking for all data and agent interactions
Build observability tools for tracing, cost monitoring, and system performance metrics
Integrate evaluation-based guardrails that detect hallucinations, bias, or policy violations in real time
Create structured metrics dashboards (precision, recall, task success rate, cost efficiency) for every deployed agent
Establish technical standards, documentation, and engineering patterns for future platform development
Collaborate with business stakeholders, data scientists, and product teams to identify automation use cases and measure ROI via evaluation metrics
Mentor future engineers and contribute to an engineering culture centered on safety, transparency, and impact
Continuously explore emerging agent frameworks, vector stores, and evaluation methodologies
Qualification
Required
12+ years of software engineering experience, with 8+ years in platform or distributed systems architecture
Proven expertise in implementing workflow orchestration or automation systems
Proficiency in Python with deep experience in backend architecture and API design
Experience with low-code/no-code automation platforms (Zapier, n8n etc.), internal developer platforms (IDPs), or workflow engines (Temporal, Airflow)
Experience in working with well known agentic cloud platforms (e.g. AWS Bedrock agents, AgentCore etc.)
Hands-on experience with LLMs, RAG, vector databases, and orchestration frameworks (LangChain, LlamaIndex, AutoGen, DSPy)
Fluency in cloud infrastructure, Kubernetes, Docker, and CI/CD automation
Knowledge of observability and telemetry systems for event-driven environments
Familiarity with AI governance and evaluation frameworks, LLM safety, drift detection, bias detection, hallucination, explainability, and compliance (e.g., HIPAA, CLIA, FDA)
Preferred
Advanced degree (MS/PhD) in Computer Science, AI/ML, engineering or related field
Experience in healthcare, pharma, diagnostics, or other regulated industries
Benefits
Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents
Free testing in addition to fertility care benefits
Pregnancy and baby bonding leave
401k benefits
Commuter benefits
Generous employee referral program
Company
Natera
Natera specializes in cell-free DNA testing to provide a more targeted interventions to oncology, women's health, and organ health.
5001-10000 employees
H1B Sponsorship
Natera has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (90)
2024 (72)
2023 (37)
2022 (71)
2021 (64)
2020 (40)
Funding
Current Stage
Public CompanyTotal Funding
$1.16BKey Investors
Sofinnova InvestmentsLightspeed Venture PartnersSequoia Capital
2023-09-07Post Ipo Equity· $250M
2022-11-15Post Ipo Equity· $400.05M
2022-03-16Post Ipo Equity· $5M
Leadership Team
Steve Chapman
CEO
Jonathan Sheena
Co-Founder, Board Member
Recent News
2026-01-08
Company data provided by crunchbase