Architect - Platform Engineering - USA

Quantiphi, Inc.

Job Overview

Location

USA - Remote

Job Type

Full-time

Full Job Description

📋 Description

• Architect and implement MLOps strategy for enterprise AI programs, ensuring alignment with delivery roadmaps and technical excellence.
• Design and own end-to-end ML/LLM pipelines on Google Cloud, covering training, validation, deployment, versioning, monitoring, and CI/CD automation using Vertex AI, GKE, and related services.
• Build container-oriented ML platforms with GKE-first approach, evaluating alternatives like Kubeflow, MLflow, and Airflow for orchestration.
• Implement hybrid MLOps + LLMOps workflows including prompt governance, evaluation frameworks, and monitoring for LLM-based systems.
• Serve as a technical authority across internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks for GCP.
• Enable observability, drift detection, lineage tracking, and auditability using Cloud Monitoring, Vertex AI Model Monitoring, Prometheus/Grafana.
• Collaborate with data engineering, platform, DevOps, and client stakeholders to deliver production-ready ML solutions on Google Cloud.
• Ensure adherence to security, governance, and compliance standards for GCP services, Kubernetes workloads, and MLOps tools.
• Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through cloud-native implementations.
• Mentor engineers on modern MLOps tools, Vertex AI capabilities, and best practices.
• Travel required up to 30% for client engagement and team collaboration.

🎯 Requirements

• 10+ years of experience in ML/AI platform engineering or AI/MLOps roles with strong architecture exposure.
• Strong expertise in Google Cloud native AI/ML stack: Vertex AI (primary), GKE, Cloud Functions, AutoML, Vertex AI Pipelines, BigQuery ML, API Gateway, and CI/CD (Cloud Build/Cloud Deploy or equivalent).
• Hands-on experience with MLOps toolset: MLflow, Kubeflow, Vertex AI Pipelines, Airflow, BentoML, KServe, Seldon.
• Deep understanding of model lifecycle management: feature engineering → training → registry → deployment → monitoring.
• Experience implementing or supporting LLMOps pipelines, including prompt versioning, evaluation metrics, and automation frameworks.
• Strong experience with Vertex AI platform: Pipelines, Feature Store, Model Registry, and Model Monitoring.
• Experience implementing ML CI/CD pipelines: automated training, testing, validation, model promotion, and endpoint deployment.
• Strong SQL and data transformation experience using Snowflake, Databricks, Spark.
• Experience with feature engineering pipelines and Feature Store management.
• Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, and reproducibility.
• Hands-on experience with Vertex AI Foundation Models, OpenAI, Anthropic, or Llama models.
• Experience with Cloud Monitoring, Vertex AI Model Monitoring, Prometheus/Grafana.
• 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, machine learning, data, and cloud.
• Certified Great Place to Work for three consecutive years (2021, 2022, 2023).
• Opportunity to work with award-winning AI-First digital engineering company recognized by Google Cloud, AWS, NVIDIA, and Snowflake.
• Access to cutting-edge Generative AI and Agentic AI accelerators across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more.
• Global organization with 4,000+ professionals serving clients across key industry verticals including BFSI, Healthcare & Life Sciences, CPG, MFG, TME.

Skills & Technologies

Python

AWS

GCP

Kubernetes

Apache Spark

Senior

Remote

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Quantiphi, Inc.

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About Quantiphi, Inc.

Quantiphi is an AI-first digital engineering company that builds data-driven solutions for enterprises across healthcare, financial services, retail and public sector. The firm combines machine learning, cloud platforms and industry expertise to create scalable products that enhance decision-making, automate processes and optimize operations. Headquartered in Marlborough, Massachusetts, Quantiphi operates globally with offices in North America, Europe and Asia, serving Fortune 500 clients through outcome-based engagements that integrate data engineering, applied AI and managed services.

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