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Natera

Makes genetic tests for clinical care

Staff Forward Deployed AI Solutions Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Demonstrate hands-on technical fluency with command-line interfaces, application programming interfaces, webhooks, SQL, and Python scripting.
  • Have working knowledge of large language model and agent behavior, including prompting, context, tool use, retrieval-augmented generation, Model Context Protocol, evaluations, and failure modes.
  • Be very comfortable with a cloud platform.
  • Be trustworthy with elevated access, including least privilege, auditability, and safe rollbacks.
  • Exercise technical and process judgment, think in outcomes and key performance indicators, defend prioritization calls, and work effectively across business and technical contexts.

Responsibilities

  • Map existing workflows in the assigned business domain and identify workflows that could be newly enabled by agents or automation tools.
  • Identify opportunities where artificial intelligence, machine learning, or automation can improve throughput, coverage, or speed.
  • Build business cases, quantify projected impact, and align priorities with domain leadership.
  • Map structured and unstructured data flows across relevant systems, including customer relationship management, enterprise resource planning, ticketing, document stores, internal tools, and external software-as-a-service systems.
  • Define target workflows, specifying agent and human actions and handoffs.
  • Determine the context agents or models need and how to provide it reliably through retrieval, grounding, tool access, and memory.
  • Design human-in-the-loop checkpoints that make review valuable without creating bottlenecks.
  • Set up agents and automation pipelines using the organization's approved artificial intelligence platforms and frameworks.
  • Connect agents to business systems through Model Context Protocol servers, application programming interfaces, webhooks, command-line interfaces, and skills within information technology and security guardrails.
  • Configure tools, prompts, context, and retrieval pipelines so agents perform reliably on real work.
  • Address integration challenges including authentication, schema drift, rate limits, data quality, and enterprise-system last-mile issues.
  • Enable business users to access and receive training on workflows.
  • Own agent performance end to end and track throughput, quality, cost, human-intervention rate, cycle time, and adoption.
  • Build and manage evaluations, and rerun them before release after material model, data, or workflow changes.
  • Triage failures, tune prompts and context, iterate on workflows, and retire agents when they are no longer appropriate.
  • Instrument observability through tracing, structured logs, and dashboards.
  • Work directly within a business domain, report to the central artificial intelligence and automation team, partner with domain leadership on priorities, and share reusable patterns across the company.

Desired Qualifications

  • Prior experience working closely with businesses to deliver measurable outcomes.
  • Hands-on experience with an enterprise agentic platform such as CrewAI, LangChain, AWS Bedrock, Claude, or Codex, or building directly against a model application programming interface.
  • Background in product management, solutions engineering, consulting, forward-deployed engineering, or technical operations.
  • Experience in regulated environments, including HIPAA, SOC 2, GxP, or SOX.

About the Company

Natera

Makes genetic tests for clinical care

Natera develops genetic tests for clinicians caring for people with cancer, inherited conditions, pregnancies, and organ transplants, using DNA analysis to inform medical decisions. Its portfolio includes Signatera for tracking residual cancer, Panorama for prenatal screening, and Prospera for assessing transplanted organ health. The company combines laboratory analysis with software that distinguishes DNA fragments in blood, and earns revenue mainly from diagnostic testing, alongside licensing and services for research partners. Clinicians use its portals to order tests, track samples, and review results, while patients have access to genetic information sessions. Natera was founded in 2004 and is headquartered in Austin, Texas.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Austin, TX
Founded
2004

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