Quantiphi · 1 month ago
ML Architect
United States
Full-time
Remote
Lead/StaffQuantiphi is a global and diverse company that values innovation and personal growth. They are seeking a Machine Learning Architect to design and deliver enterprise-grade AI solutions, partnering with business and engineering teams to create scalable AI architectures and applications.
Artificial Intelligence (AI)Cloud ComputingProperty & Casualty InsuranceSoftwareCloud Data ServicesInsurTechMachine Learning
Responsibilities
Architect and design end-to-end Generative AI solutions leveraging Large Language Models and modern AI frameworks
Design Retrieval-Augmented Generation (RAG) architectures integrating enterprise knowledge bases, documents, and structured data
Build and guide development of LLM applications, intelligent assistants, and AI copilots using LangChain, LangGraph, or similar orchestration frameworks
Define architectures for vector search, embeddings, and semantic retrieval pipelines that support scalable knowledge discovery
Work closely with engineering teams to translate architectural designs into production-ready AI systems
Develop AI reference architectures, design patterns, and best practices for enterprise adoption of Generative AI
Partner with business stakeholders to identify opportunities where AI can unlock value from large knowledge and data ecosystems
Design secure and scalable cloud-native AI platforms within the Google Cloud Platform ecosystem
Ensure responsible AI practices through model evaluation frameworks, guardrails, monitoring, and governance mechanisms
Mentor engineers and provide technical leadership across ML and AI initiatives
Qualification
Required
Proven experience designing LLM-powered applications and Generative AI solutions
Strong expertise in Retrieval-Augmented Generation (RAG) architectures, embeddings, and vector search
Hands-on experience with LLM orchestration frameworks such as LangChain or LangGraph or equivalent
Experience designing AI solutions within the Google Cloud Platform ecosystem (Vertex AI, BigQuery, GKE, etc.)
Strong programming experience in Python and experience working with modern ML frameworks
Deep understanding of enterprise data architectures, APIs, and distributed systems
Experience communicating complex technical architectures to both technical and non-technical stakeholders
Preferred
Experience designing AI solutions for large knowledge repositories, digital content platforms, or enterprise data ecosystems
Experience with vector databases
Familiarity with agent-based AI architectures and multi-step AI workflows
Experience with MLOps, model lifecycle management, and AI governance frameworks
Exposure to document intelligence, semantic search, or knowledge graph technologies
Benefits
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.
Company
Quantiphi
Quantiphi is a digital engineering company that provides data science and machine learning software and services.
Founded in 2013
1001-5000 employees
H1B Sponsorship
Quantiphi has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
74%
Represents job field similar to this job
Engineering and Development
Management and Executive
Sales
Customer Service and Support
Product Management
Marketing
Trends of Total Sponsorships
*2026 (4)
2025 (45)
2024 (65)
2023 (45)
2022 (94)
2021 (71)
2020 (46)
Funding
Current Stage
Late StageTotal Funding
$23.41MKey Investors
Multiples
2019-12-19Series A· $20M
2018-09-13Series Unknown· $3.41M
Leadership Team
Asif Hasan
Co-Founder
Ritesh Patel
Co-Founder
Recent News
2026-06-17
2026-04-30
Company data provided by crunchbase