N

Natera

Makes genetic tests for clinical care

Forward Deployed AI Solutions Engineer

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

About the Job

Requirements

  • Hands-on technical fluency with command-line interfaces, application programming interfaces, webhooks, SQL, and Python scripting.
  • Working knowledge of large language model and agent behavior, including prompting, context, tool use, retrieval-augmented generation, Model Context Protocol, evaluations, and failure modes.
  • Comfort working with a cloud platform.
  • Trustworthiness with elevated access, with familiarity with least privilege, auditability, and safe rollbacks.
  • Strong technical and process judgment, including thinking in outcomes and key performance indicators, defending prioritization decisions, and communicating effectively with business and technical stakeholders.

Responsibilities

  • Map current workflows and workflows that could become feasible with agents or automation tools in the assigned business domain.
  • 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 systems such as customer relationship management, enterprise resource planning, ticketing, document stores, internal tools, and external software as a service.
  • Define target workflows, including agent and human roles 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 add review value without becoming bottlenecks.
  • Stand up agents and automation pipelines using approved AI platforms and frameworks.
  • Connect agents to business systems using Model Context Protocol servers, application programming interfaces, webhooks, command-line interfaces, and skills within IT and security guardrails.
  • Configure tools, prompts, context, and retrieval pipelines so agents perform reliably on real work.
  • Handle integration issues such as authentication, schema drift, rate limits, data quality, and enterprise-system implementation details.
  • Enable business users to access and train on workflows.
  • Own agent performance end-to-end and track throughput, quality, cost, human intervention rate, cycle time, and adoption.
  • Build and manage evaluations, rerunning them before release after material changes to models, data, or workflows.
  • Triage failures, tune prompts and context, iterate on workflows, and retire agents when they are no longer the right tool.
  • Instrument observability through tracing, structured logs, and dashboards.
  • Ship three or more production workflows that measurably improve a business key performance indicator, with agent evaluations and observability in place.
  • Contribute reusable assets for other engineers and enable non-builders to create workflows using those artifacts.

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 experience 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 such as 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

Recently Posted Jobs

Explore more opportunities at Natera

See more jobs