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.
Headquartered in Boston, Massachusetts, 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:
- 17x 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:
Principal Engineer
Experience Level:
8+ years experience
Work Location:
Irvine, California
Role Overview:
We are looking for a
Principal Engineer
to define the
technical vision and architecture
for complex Generative AI solutions built within the
Google Cloud ecosystem
, leveraging modern frameworks such as
LangChain and LangGraph
to orchestrate LLM-powered workflows. You will work closely with cross-functional engineering, data, and product teams to deliver
secure, reliable, and scalable AI systems
that integrate seamlessly with enterprise data and platforms.
Key Responsibilities:
- Architect and deliver
enterprise-scale Generative AI systems
using Large Language Models (LLMs).
- Design and implement
Retrieval-Augmented Generation (RAG) architectures
leveraging embeddings, vector databases, and semantic retrieval.
- Build
LLM-powered applications, copilots, and agent-based workflows
using frameworks such as
LangChain and LangGraph
.
- Lead the development of
AI orchestration pipelines
coordinating multi-step tool-based workflows.
- Design scalable
data ingestion and retrieval pipelines
for grounding LLM outputs on enterprise knowledge and telemetry.
- Build and optimize
AI inference pipelines and deployment infrastructure
in a cloud-native environment.
- Collaborate with platform, security, and product teams to ensure
resilient and secure AI systems
.
- Provide
technical leadership and mentorship
to engineering teams while driving best practices in AI engineering and MLOps.
Basic Qualifications:
- Extensive experience designing and deploying
LLM-based applications in production environments
.
- Strong experience with
Retrieval-Augmented Generation (RAG)
architectures including embeddings, vector search, and retrieval evaluation.
- Hands-on experience with
LLM orchestration frameworks
such as
LangChain, LangGraph, or equivalent agent frameworks
.
- Strong programming experience in
Python
and modern backend systems.
- Experience building
cloud-native AI applications in the Google Cloud Platform ecosystem (Vertex AI, GKE, BigQuery, etc.)
.
- Deep understanding of
Generative AI architectures, prompt engineering, and model evaluation methodologies
.
- Experience developing
scalable APIs, SDKs, or services supporting AI-powered workflows
.
- Ability to translate complex business problems into
AI-driven technical solutions with measurable outcomes
.
Other Qualifications (OQs):
- Experience with
fine-tuning techniques such as LoRA or parameter-efficient training
.
- Experience building
AI copilots, assistants, or autonomous agent systems
.
- Familiarity with
vector databases
- Experience with
MLOps and model lifecycle management
.
- Knowledge of
cybersecurity, threat intelligence, or security analytics environments
.
- Experience optimizing
LLM inference performance and scalability
.
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.
