Opportunity

AI Solutions Engineer at Natera - Build LLM Agents in Columbus

Location Columbus
Company Natera
Source jobicy
Posted 2026-11-02 11:52:56

Career & Market Insight

A High-Leverage Role at the AI Frontier: "Forward Deployed Solutions Engineer" is a rare, emerging title that sits at the intersection of AI engineering, solutions consulting, and internal product ownership. Companies like Palantir popularized the concept — being embedded in business units to drive measurable AI outcomes. This is a significant career differentiator in 2024–2025 as enterprises race to operationalize LLMs.

Skills You'll Build:

  • Production-grade agentic AI systems (LangChain, CrewAI, AWS Bedrock, MCP) — extremely high demand
  • RAG pipelines, evals, and LLM observability — niche skills commanding premium salaries
  • Enterprise systems integration (CRM, ERP, SaaS APIs) with security & compliance mindset
  • Business case development and KPI-driven prioritization — bridges technical and executive audiences

Compensation Analysis: The $105,700–$132,100 standard range is slightly below market for senior AI/ML engineers in 2025 (industry median ~$140K–$175K for comparable roles), but Natera offers bonus + equity which may close the gap. The role is also positioned as a builder/owner, not a support function — suggesting upward trajectory.

Company & Culture Signals: Natera is a publicly traded, growth-stage biotech (~1,000+ employees) in a regulated space (HIPAA, CLIA). This means structured processes, compliance rigor, and meaningful mission — a green flag for engineers who want impact beyond SaaS. The centralized AI & Automation team model suggests you'll have peers to learn from while still owning your domain independently.

Watch For: The success metrics (3+ production workflows in year one) are ambitious. Ensure you negotiate clear resourcing, system access, and stakeholder buy-in during the offer stage.

About the Role

The 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 identify opportunities for enhancing efficiency and productivity by finding workflows that 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 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.
  • Determine what context the agent or model needs to perform 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 a 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 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 complexity: auth, schema drift, rate limits, data quality, and the messy last-mile of enterprise systems.
  • Enable access and training for business teams to run the workflows.

Run Agents and Automation Pipelines in Production

  • Own agent performance end-to-end. Track 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 behavior — prompting, context, tool use, RAG, MCP, evals, failure modes. 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.

Nice to Have

  • Prior experience working hand-in-hand with business teams 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.
  • Enabled non-builders to become builders using the artifacts you created.

Compensation Ranges

  • Standard cost of living areas: $105,700 – $132,100
  • Higher cost of living areas: $116,200 – $145,300
  • Lower cost of living areas: $95,100 – $118,900

Additional components such as bonus and equity are also included in this role. The pay range listed reflects base salary; actual compensation packages are based on factors including skill set, years and depth of experience, certifications, and specific office location.

Our Opportunity

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers, and many other professionals from world-class institutions who care deeply for their work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

What We Offer

Competitive Benefits — Employee benefits include comprehensive medical, dental, vision, life, and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free genetic testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401(k) benefits, commuter benefits, and much more. We also offer a generous employee referral program!

For more information, visit www.natera.com.

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.
Link: https://www.natera.com/notice-of-data-collection-california-residents/

Anti-Fraud Notice: Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.

For more information:
- BBB announcement on job scams
- FBI Cyber Crime resource page

Frequently Asked Questions

Is this role fully remote or does it require office presence?
The role is listed as Remote USA, meaning you can work from anywhere within the United States. There is no mention of required in-office days.
What is the salary range for this position?
Base salary ranges from $95,100–$118,900 (lower COL areas) to $116,200–$145,300 (higher COL areas), with a standard range of $105,700–$132,100. The role also includes bonus and equity components.
What AI platforms and tools will I work with in this role?
You'll work with enterprise agentic platforms such as CrewAI, LangChain, AWS Bedrock, Claude, and Codex, as well as MCP servers, APIs, webhooks, and Python scripting. Experience with RAG pipelines and LLM evals is also expected.
Does Natera require experience in regulated industries like healthcare?
Experience in regulated environments (HIPAA, SOC 2, GxP, SOX) is listed as a "nice to have," not a hard requirement, making the role accessible to engineers from non-healthcare backgrounds.
What does success look like in the first year of this role?
Success means shipping at least three production AI workflows that measurably move a business KPI, earning early inclusion in domain planning cycles, contributing a reusable asset to the team, and enabling non-technical team members to use what you've built.
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