Architect – Platform Engineering

🕒 May 21

🌽 Illinois – Remote

🌽 Illinois – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🔙 Backend Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 39%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Quantiphi

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Series A on 2019-12

Consulting • Healthcare • Logistics

Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.

📋 Description

• Architect and implement the MLOps strategy for the program • Design and own enterprise-grade ML/LLM pipelines • Build container-oriented ML platforms (GKE-first) • Implement hybrid MLOps + LLMOps workflows • Serve as a technical authority across multiple internal and customer projects • Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems • Collaborate with cross-functional teams to deliver production-ready ML solutions • Ensure all solutions adhere to security, governance, and compliance expectations • Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation • Mentor engineers and provide guidance on modern MLOps tools

🎯 Requirements

• 10+ years working in ML/AI platform engineering or AI/MLOps roles with strong architecture exposure • Strong expertise in the Google Cloud (GCP) native AI/ML stack • Hands-on experience with MLOps toolset • Deep understanding of model lifecycle management • Experience implementing or supporting LLMOps pipelines • Strong experience with Google Cloud's Vertex AI platform • Experience implementing ML CI/CD pipelines • Strong SQL and data transformation experience using Snowflake, Databricks, Spark • Understanding of lineage tracking • Strong foundation in Python and cloud-native development patterns • Solid understanding of security best practices, Cloud IAM, secrets management, and artifact governance

🏖️ Benefits

• Be part of the fastest-growing AI-first digital transformation and engineering company in the world • Be a leader of an energetic team of highly dynamic and talented individuals • Exposure to working with fortune 500 companies and innovative market disruptors • Exposure to the latest technologies related to artificial intelligence and machine learning • Opportunities to learn, grow and interact with colleagues from varied experience and backgrounds around the globe