Forward Deployed AI Solutions Engineer

đź•’ vor 2 Monaten

🇺🇸 Vereinigte Staaten – Remote

đź’µ $105.700 - $132.100 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

đźź  Senior

💻 Lösungsingenieur

🦅 H1B-Visum-Sponsor

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đź‘» Geisterscore 37%

infoinfo

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Natera

Natera

1001 - 5000 Mitarbeiter

GegrĂĽndet 2004

🏥 Gesundheitswesen

🧬 Biotechnologie

⚕️ Krankenversicherung

Healthcare • Biotechnology • Healthcare Insurance

Natera ist ein weltweit führendes Unternehmen in der Technologie der zellfreien DNA-Tests, das sich auf nicht-invasive genetische Tests und Diagnostik spezialisiert hat. Die innovativen Lösungen des Unternehmens konzentrieren sich auf Bereiche wie pränatales Screening, Krebstestung und Überwachung von Organtransplantationen. Durch den Einsatz fortschrittlicher Bioinformatik und DNA-Analysen bietet Natera medizinischen Fachkräften und Patienten entscheidende Informationen, um fundiertere medizinische Entscheidungen treffen zu können.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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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