Architect - Machine Learning

About Quantiphi:
Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients.

Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.

Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters

We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:
21 Google Cloud Partner of the Year awards in the past 10 years
3 AWS AI/ML Partner of the Year awards
3 NVIDIA Partner of the Year awards
3 Snowflake Partner of the Year awards
Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms

Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.

We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture.

For more details, visit: Website or LinkedIn Page

Job Description:
Key Responsibilities
Design & Architect: Define the end-to-end architecture for cross-cloud AI systems, ensuring robust security, low latency, and high scalability.
Bridge Cloud Ecosystems: Architect solutions that leverage GCP's advanced AI services (Vertex AI) while operating on AWS-resident data (Redshift, S3, Lakehouse patterns).
Lead Agentic Workflows: Engineer the orchestration layers for agentic AI, including planning, tool-use, and multi-step reasoning capabilities.
Define Operational Standards: Establish the "rules of the road" for LLM operationalization, including evaluation frameworks (LLM-as-a-judge), guardrails, and cost-efficient cloud utilization.
Collaborate with Stakeholders: Act as a strategic partner to client leadership, routing technical requirements into actionable delivery sprints.
Mentorship: Guide the pod in maintaining high engineering standards, focusing on "delivery over sales" in a highly regulated environment.

Required Qualifications
Must-Have Skills
Experience: 8+ years of experience in machine learning, data engineering, and systems architecture.
Cloud Architecture: Expert-level knowledge of Google Cloud AI services (Vertex AI)
Generative AI Systems: Deep experience architecting production-grade LLM applications, including model routing, prompt engineering pipelines, and evaluation methodologies.
Engineering Fundamentals: Strong software engineering fundamentals (Python preferred) and experience with MLOps pipelines.

Strong Plus (Big Positives)
Knowledge of AWS data architecture (Redshift, S3, Databricks).
Experience with Knowledge Graph technologies (e.g., Neo4j, TigerGraph, Stardog).
Hands-on experience with open-source agentic and LLM frameworks (LangChain, LangGraph, etc.).
Proven experience in aerospace, defense, or highly regulated enterprise environments.
Prior experience in champion-challenger model deployment and testing.

What’s in it for YOU at Quantiphi?
Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.