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Natera

Staff Forward Deployed AI Solutions Engineer

RemoteUnited States only
Published
Role
AI / ML
Experience
Staff
$152.1k–$190.1k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Staff-level AI solutions engineer for US remote work. Needs hands-on Python, SQL, APIs, webhooks, CLIs, LLM/agent/RAG/MCP/evals experience, and comfort with cloud platforms. You’ll build and run production AI agents and automation workflows inside business domains.

Core skills

LLMsRAGAI agents

Required skills

CLIsAPIsWebhooksSQLPythonPromptingMCPEvalsCloud platforms

Optional skills

CrewAILangChainAWS BedrockClaudeCodexModel APIs

What you'll do

  • Work directly within a business domain such as Commercial, Clinical Operations, Lab Operations, Sales & Marketing, or Customer Experience.
  • Find opportunities for enhancing efficiency and productivity by looking for workflows which can be executed 10–100x faster or more often than a human team could using AI agents, integrations and other patterns.
  • Build, deploy, and run AI agents, integrations, and automation patterns in production.
  • Report into the central AI & Automation team.
  • Partner directly with domain leadership on priorities.
  • Bring patterns back so the whole company compounds.
  • Map the workflows in your domain — the ones running today, and the ones that don’t exist yet because they weren’t feasible without agents or automation tools.
  • Identify the step-change opportunities where AI, ML, or automation unlock throughput, coverage, or speed.
  • Build the business case, quantify projected impact, and align with domain leadership on priorities.
  • Map structured and unstructured data flows across the systems involved, including CRM, ERP, ticketing, document stores, internal tools, and external SaaS.
  • Define the target workflow: what the agent does, what the human does, and where they hand off.
  • Figure out what context the agent or model needs to do the work well and how to get it there reliably through retrieval, grounding, tool access, and memory.
  • Design human-in-the-loop checkpoints so review adds value without becoming the bottleneck.
  • Stand up agents and automation pipelines using the organization’s approved AI platforms and frameworks.
  • Connect agents to business systems via MCP servers, APIs, webhooks, CLIs, and skills within the guardrails set by IT and security.
  • Configure tools, prompts, context, and retrieval pipelines so agents perform reliably on real work, not just in demos.
  • Handle integration gnarliness: auth, schema drift, rate limits, data quality, and the messy last-mile of enterprise systems.
  • Enable access and training for business to run the workflows.
  • Run agents and automation pipelines in production.
  • Own agent performance end-to-end.
  • Track the KPIs that matter — throughput, quality, cost, human intervention rate, cycle time, adoption.
  • Build and manage evals.
  • Re-run evals on any material model, data, or workflow change before it ships.
  • Triage failures, tune prompts and context, iterate on the workflow, and retire agents when they’re no longer the right tool.
  • Instrument observability, including tracing, structured logs, and dashboards.
  • Ship three or more workflows into production that are measurably moving a business KPI, with agent evals and observability in place.
  • Contribute at least one reusable asset another engineer on the team is now using.
  • Enable non builders to become builders using the artifacts you created.

What they require

  • Hands-on technical fluency with CLIs, APIs, webhooks, SQL, and Python scripting.
  • Working knowledge of LLM and agent behavior — prompting, context, tool use, RAG, MCP, evals, failure modes.
  • Be very comfortable with a cloud platform.
  • Trustworthy with elevated access.
  • Least-privilege, auditability, and safe rollbacks are second nature.
  • Strong technical and process judgment.
  • You think in outcomes and KPIs, can defend prioritization calls, and are comfortable being the most technical person in a business meeting and the most business-savvy in a technical one.
  • Preferred: Prior experience working hand in hand with businesses to deliver measurable outcomes.
  • Preferred: Background in product management, solutions engineering, consulting, forward-deployed engineering, or technical operations.
  • Preferred: Experience in regulated environments such as HIPAA, SOC 2, GxP, or SOX.

Benefits

  • Additional components such as bonus and equity are also included in this role.
  • Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents.
  • Natera employees and their immediate families receive free testing.
  • Fertility care benefits.
  • Pregnancy and baby bonding leave.
  • 401k benefits.
  • Commuter benefits.
  • Generous employee referral program.

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Its aim is to make personalized genetic testing and diagnostics part of the standard of care.

🇺🇸 United StatesHealthcareEnterprisenatera.com

What people say about this company

2.7/ 5

Details

Apply routeGreenhouse
$152.1k–$190.1k/yr