Associate Architect - MLE

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!

About Quantiphi:

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations.

Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake.

Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.

We’ve been recognized with:21x Google Cloud Partner of the Year awards in the last 8 years.
3x AWS AI/ML award wins.
3x NVIDIA Partner of the Year titles.
2x Snowflake Partner of the Year awards.

We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.

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.

We have been certified as a Great Place to Work for the third year in a row- 2021, 2022,  part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation.

Your next big opportunity starts here!

For more details, visit:
Website or Linked In Page.

Role:
Associate Architect – Machine Learning Engineering (MLE)
Experience Level: 7+ yrs

Work Location:

Dallas, TX (2-3 days on site)

Role Overview :

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.

This role requires deep expertise in Python, FastAPI, SDK development, MLOps, and distributed AI systems, along with the ability to mentor engineering teams and drive technical excellence across multiple initiatives.

Key Responsibilities:

Architect and evolve enterprise-grade Python SDK frameworks that improve developer productivity, extensibility, and maintainability across AI platforms.

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.

Define architectural standards, coding guidelines, and engineering best practices for ML platforms and SDK development.

Design and implement CI/CD pipelines using Jenkins and Git Lab Runners to automate testing, deployment, and release management.

Partner with Data Science, Product, Platform Engineering, and Cloud teams to translate business requirements…