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Forward Deployed AI Solutions Engineer

đź•’ July 28

🇺🇸 United States – Remote

đź’µ $105.7k - $132.1k / year

⏰ Full Time

🟡 Mid-level

đźź  Senior

đź’» Solutions Engineer

🦅 H1B Visa Sponsor

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đź‘» Ghost score 22%

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Logo of Natera

Natera

1001 - 5000 employees

Founded 2004

🏥 Healthcare

🧬 Biotechnology

⚕️ Healthcare Insurance

Healthcare • Biotechnology • Healthcare Insurance

Natera is a global leader in cell-free DNA testing technology, specializing in non-invasive genetic testing and diagnostics. The company's innovative solutions focus on areas such as prenatal screening, cancer detection, and organ transplant monitoring. By using advanced bioinformatics and DNA analysis, Natera provides healthcare professionals and patients with critical information to make more informed medical decisions.

đź“‹ Description

• Map current and future workflows within a business domain • Identify opportunities where AI, ML, 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 business systems • Define target workflows, agent and human responsibilities, handoffs, context, retrieval, grounding, tool access, and memory • Design human-in-the-loop checkpoints • Build and deploy agents and automation pipelines using approved AI platforms and frameworks • Connect agents to business systems through MCP servers, APIs, webhooks, CLIs, and skills • Configure tools, prompts, context, and retrieval pipelines for reliable production performance • Handle authentication, schema drift, rate limits, data quality, and enterprise integration challenges • Enable business users to access and run workflows through training • Own agent performance and track throughput, quality, cost, human intervention rate, cycle time, and adoption • Build and manage evaluations before material model, data, or workflow changes ship • Triage failures, tune prompts and context, iterate workflows, and retire agents when appropriate • Instrument observability with tracing, structured logs, and dashboards • Report to the central AI & Automation team and partner with domain leadership • Ship three or more production workflows that measurably improve business KPIs in the first year • Contribute reusable engineering assets and enable non-builders to become builders

🎯 Requirements

• Hands-on technical fluency with CLIs, APIs, webhooks, SQL, and Python scripting • Working knowledge of LLM and agent behavior, including prompting, context, tool use, RAG, MCP, evals, and failure modes • Very comfortable with a cloud platform • Trustworthiness with elevated access • Knowledge of least-privilege, auditability, and safe rollbacks • Strong technical and process judgment • Ability to think in outcomes and KPIs and defend prioritization decisions • Prior experience working hand in hand with businesses to deliver measurable outcomes • Hands-on experience with an enterprise agentic platform or model API • 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

🏖️ Benefits

• Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents • Free testing for employees and their immediate families • Fertility care benefits • Pregnancy and baby bonding leave • 401k benefits • Commuter benefits • Employee referral program • Additional bonus and equity components

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