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.