Associate Tech Architect - ML

Quantiphi; Dallas (TX); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Quantiphi is seeking an Associate Architect – Machine Learning Engineering in Dallas to design scalable AI/ML platforms, developer frameworks, and Agentic AI solutions for enterprise apps. You will lead production-grade ML systems, evolve Python SDKs, and enable autonomous workflows across product and platform teams.

You will mentor engineers, drive best practices, and collaborate with Data Science, Platform, and Cloud groups to deliver high-performance, secure AI solutions leveraging modern

Qualifications

• Expert-level Python for enterprise ML applications.
• Deep understanding of API design and scalable API development.
• Hands-on experience with Agentic AI workflows and multi-agent systems.

Responsibilities

• Architect and evolve Python SDK frameworks for AI platforms.
• Design scalable Agentic AI architectures and multi-agent systems.
• Build high-performance RESTful APIs using FastAPI for AI services.
• Define CI/CD pipelines with Jenkins and GitLab Runners for automation.
• Mentor ML engineers and drive architectural excellence across teams.
• Evaluate emerging AI technologies to improve platform capabilities.

Skills

Python

FastAPI

SDK development

MLOps

Agentic AI

LLM orchestration

Multi-agent systems

API design

Object-oriented programming

Cloud platforms

Distributed AI systems

Architectural thinking

Mentoring engineers

Tools

Docker

Kubernetes

Jenkins

GitLab Runners

Galileo (observability)

Job description

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, 2023.Be 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 LinkedIn Page.Role: Associate Architect – Machine Learning Engineering (MLE)Experience Level: 7+ yrsWork 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 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.Establish observability, monitoring, and evaluation strategies using Galileo to improve model quality, agent performance, and production reliability.Drive architectural decisions around scalability, resiliency, performance optimization, and software lifecycle management.Mentor Machine Learning Engineers through technical guidance, design reviews, and best practices.Evaluate emerging AI technologies and recommend architectural improvements to enhance enterprise AI capabilities.Support production environments by troubleshooting complex distributed systems and ensuring high platform availability.Basic Qualifications:Expert-level proficiency in Python with extensive experience building enterprise-grade machine learning applications.Strong experience designing scalable APIs using FastAPI.Deep understanding of software engineering principles, object-oriented programming, and API design.Hands-on experience designing and implementing Agentic AI workflows and multi-agent systems.Experience building production-ready AI applications using modern Agentic Frameworks.Strong understanding of LLM orchestration, autonomous agents, and AI workflow automation.Extensive experience developing and maintaining Python SDKs or internal developer platforms.Experience creating reusable frameworks, libraries, and tooling used across engineering organizations.Strong experience implementing automated CI/CD pipelines using Jenkins and GitLab Runners.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.Proven experience designing scalable, cloud-native AI platforms and distributed machine learning systems.Strong understanding of microservices architecture, system scalability, security, and performance optimization.Strong architectural thinking with excellent problem-solving abilities.Ability to lead technical discussions and influence architectural decisions across teams.Excellent communication and stakeholder management skills.Proven ability to mentor engineers and foster technical excellence.Ability to independently drive large-scale engineering initiatives from design through production.Other Qualifications (OQs):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).What’s in it for YOU at Quantiphi: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.Stay ahead of the curve, immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!