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Staff Forward Deployed AI Solutions Engineer New US RemoteNatera, Inc. • New York, New York, United States
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Staff Forward Deployed AI Solutions Engineer New US Remote

Natera, Inc.
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

Staff Forward Deployed AI Solutions Engineer US Remote
About the role The Staff Forward Deployed Solutions Engineer will work directly within a business domain (e.g., Commercial, Clinical Operations, Lab Operations, Sales & Marketing, Customer Experience etc.). In this role, you’ll 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. You will build, deploy, and run them in production.
You report into the central AI & Automation team, partner directly with domain leadership on priorities, and bring patterns back so the whole company compounds.
Find the leverage in your domain
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.
Design the future‑state workflow
Map structured and unstructured data flows across the systems involved (CRM, ERP, ticketing, document stores, internal tools, 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 (retrieval, grounding, tool access, memory).
Design human‑in‑the‑loop checkpoints so review adds value without becoming the bottleneck.
Build and connect the systems
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 them 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: tracing, structured logs, dashboards. You don’t ship what you can’t see.
What we’re looking for
Hands‑on technical fluency. CLIs, APIs, webhooks, SQL, and Python scripting. Working knowledge of LLM and agent behaviour — 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 judgement. You think in outcomes and KPIs, can defend prioritisation calls, and are comfortable being the most technical person in a business meeting and the most business‑savvy in a technical one.
Nice to have
Prior experience working hand in hand with businesses to deliver measurable outcomes.
Hands‑on experience with an enterprise agentic platform (CrewAI, LangChain, AWS Bedrock, Claude, Codex) or building directly against a model API.
Background in product management, solutions engineering, consulting, forward‑deployed engineering, or technical operations.
Experience in regulated environments (HIPAA, SOC 2, GxP, SOX).
Success in year one
Shipped three or more workflows into production that are measurably moving a business KPI, with agent evals and observability in place.
Domain leadership brings you into planning early, not late.
Contributed at least one reusable asset that another engineer on the team is now using.
Enabling non‑builders to become builders using the artifacts you created.
Compensation Ranges The base salary range for standard cost of living areas is: $152,100 – $190,100.
Higher cost of living areas: $167,300 – $209,100.
Lower cost of living areas: $136,900 – $171,100.
Additional components such as bonus and equity are also included in this role.
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.
Equal Opportunity Employer 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.
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  • New York, New York, United States

Compétences linguistiques

  • English
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