Quantiphi

Quantiphi

Associate Architect - MLE

USA - Remote

Sponsorship not specifiedDetected 30 days ago
PythonFastAPIDistributed SystemsObject-Oriented ProgrammingGitSnowflakeAWSGCPCloud PlatformsDockerTerraformCI/CDJenkinsPlatform EngineeringRESTMachine LearningData EngineeringData ScienceLLMsAgentic AIMLOpsAI OrchestrationStakeholder ManagementExcel

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

  • Quantiphi is seeking an experienced Associate Architect - Machine Learning Engineering (MLE) to design and deliver scalable AI/ML platforms, developer frameworks, and Agentic AI solutions for enterprise applications.
  • In this role, you will provide technical leadership in building production-grade machine learning systems, evolving Python SDK frameworks, and enabling intelligent autonomous workflows.
  • You will work closely with product, platform, and engineering teams to define architecture, establish best practices, and build highly scalable AI solutions leveraging modern agentic frameworks.

Responsibilities

  • Design scalable Agentic AI architectures and multi-agent systems capable of orchestrating complex business workflows with minimal human intervention.
  • Lead the design and implementation of reusable AI platform components, ensuring high performance, reliability, and security.
  • Build and optimize high-performance RESTful APIs using FastAPI to support AI services, inference pipelines, and autonomous agents.
  • Design and implement CI/CD pipelines using Jenkins and GitLab Runners to automate testing, deployment, and release management.
  • Partner with Data Science, Product, Platform Engineering, and Cloud teams to translate business requirements into scalable technical solutions.
  • Drive architectural decisions around scalability, resiliency, performance optimization, and software lifecycle management.
  • Support production environments by troubleshooting complex distributed systems and ensuring high platform availability.
  • 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

  • Hands-on experience designing and implementing Agentic AI workflows and multi-agent systems.
  • Strong understanding of LLM orchestration, autonomous agents, and AI workflow automation.
  • Experience creating reusable frameworks, libraries, and tooling used across engineering organizations.
  • Experience with release automation, artifact management, and deployment strategies.
  • Experience using Galileo for AI evaluation, observability, and production monitoring.
  • Knowledge of monitoring AI systems, debugging model behavior, and improving production performance.
  • Strong understanding of microservices architecture, system scalability, security, and performance optimization.
  • Experience with LLM-based applications and Agentic AI platforms.
  • Experience with Docker and Kubernetes.
  • Knowledge of cloud platforms such as AWS, Google Cloud Platform (GCP), or Azure.
  • Experience with MLOps tools and production ML deployment.
  • Experience with distributed systems and event-driven architectures.
  • Contributions to open-source AI, Python SDK, or Agentic AI projects.
  • Experience with infrastructure-as-code (Terraform or similar).
  • Make an impact at one of the world's fastest-growing AI-first digital engineering companies.
  • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
  • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.

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.
  • Mentor Machine Learning Engineers through technical guidance, design reviews, and best practices.

Company info

  • Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation.
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.