Technical Architect - ML at Quantiphi

Type: Full-time
Level: senior
Posted: Sep 10, 2026

Description

Quantiphi is hiring an experienced MLOps/AI/ML Architect to define and implement enterprise-grade ML and LLM operations platforms and pipelines. The role focuses on AWS cloud-native services, especially SageMaker and EKS, model and prompt lifecycle management, CI/CD automation, observability, governance, security, infrastructure as code, and technical leadership across internal and customer projects. Responsibilities include architecture, platform implementation, monitoring, drift detection, lineage, compliance, troubleshooting, architecture reviews, and mentoring engineering teams.

Required Skills

AWS SageMaker
Infrastructure as Code
Kubernetes
Python
MLOps
LLMOps
Model lifecycle management
ML CI/CD
Observability
Cloud security
SQL and data transformation

Additional Information

Required Previous Experiences: At least 8 years of experience in ML/AI engineering or MLOps, including significant architecture exposure.
Preferred Qualifications: Experience with vector databases, RAG pipelines, or multi-agent AI systems.
Exposure to DevOps and IaC tools such as Terraform, Helm, or CDK.
Experience with drift detection, A/B testing, canary releases, and blue-green deployments.
Ability to translate business objectives into scalable AI/ML platform designs.
Strong communication and cross-functional collaboration.
Ability to mentor and guide engineering teams through technical decisions.
Translation Company Name: Quantiphi, Inc.

About Quantiphi

Quantiphi

Reimagine business for the AI era, with AI-first digital engineering: We help enterprises reimagine and realize transformational opportunities that are core to their business.

Open roles: 112
Founded: 2013

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