Quantiphi

Quantiphi

Architect - Platform Engineering - USA

USA - Remote · Senior

Sponsorship not specifiedDetected 30 days ago
PythonSQLBigQuerySnowflakeDatabricksAWSGCPKubernetesCI/CDPrometheusDevOpsPlatform EngineeringMachine LearningAirflowData EngineeringLLMsAgentic AILLMOpsMLOpsCybersecurityExcel

Stay score

odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

6 transfer filings in the last year, covering 6 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • While technology is the heart of our business, a global and diverse culture is the heart of our success.
  • We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
  • If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Responsibilities

  • Architect and implement the MLOps strategy for the program, ensuring alignment with the project proposal and delivery roadmap.
  • Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation using GCP-native services.
  • Build container-oriented ML platforms (GKE-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, Vertex AI, MLflow, Airflow, etc.).
  • Collaborate with cross-functional teams - data engineering, platform, DevOps, and client stakeholders - to deliver production-ready ML solutions on Google Cloud.
  • 21x Google Cloud Partner of the Year awards in the last 8 years.
  • 3x NVIDIA Partner of the Year titles.
  • 2x Snowflake Partner of the Year awards.

Requirements

  • Travel Required - upto 30%

Skills

  • 10+ years working in ML/AI platform engineering or AI/MLOps roles with strong architecture exposure.
  • Hands-on experience with MLOps toolset and awareness of: 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 Google Cloud's Vertex AI platform, including Pipelines, Feature Store, Model Registry, and Model Monitoring.
  • Experience implementing ML CI/CD pipelines including 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.

Benefits

  • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
  • Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud

Company info

  • Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation.
  • Be part of the fastest-growing AI-first digital transformation and engineering company in the world
Apply directly at Quantiphi →Create a free account for alerts like thisView Quantiphi immigration profile

This listing is sourced directly from Quantiphi's careers page and normalized into a canonical job model.