Associate ML Architect: AI Platform & SDK Leader
Quantiphi, Inc.
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Job summary
Quantiphi is seeking an experienced Associate Architect – Machine Learning Engineering 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 and evolving Python SDK frameworks.
You will mentor engineers, collaborate with product, platform engineering, and cloud teams, define architecture standards, and build
Qualifications
- Expert-level Python for enterprise ML apps.
- Experience designing scalable APIs with FastAPI.
- Deep knowledge of AI workflows and agentic systems.
- Hands-on MLOps and production ML deployment experience.
- Experience with LLM orchestration and AI workflow automation.
Responsibilities
- Architect and evolve enterprise-grade Python SDK frameworks for AI platforms.
- Design scalable Agentic AI architectures and multi-agent systems.
- Lead reusable AI platform components with high performance and security.
- Build high-performance RESTful APIs using FastAPI for AI services.
- Define standards, guidelines, and best practices for ML platforms.
- Design CI/CD pipelines to automate testing, deployment, and release.
- Collaborate with Data Science, Product, Platform, and Cloud teams.
- Establish observability and evaluation strategies using Galileo.
- Mentor ML engineers and drive technical excellence.
- Evaluate new AI technologies and production readiness.
Skills
Tools
Job description
Quantiphi is seeking an experienced Associate Architect – Machine Learning Engineering 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 and evolving Python SDK frameworks.
You will mentor engineers, collaborate with product, platform engineering, and cloud teams, define architecture standards, and build
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