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Data & AI Engineer

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Quantiphi
Full Time position
Listed on 2026-09-30
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Engineering, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below

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.

Our industry recognition includes:

  • 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.
  • Top analyst recognitions from Gartner, ISG, and Everest Group.
  • Consecutive certifications as a Great Place to Work.

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation.

Your next big opportunity starts here!

Work Location: USA - Remote

Experience Level: 6+ years

Type: Contract (C2C)

Role:

We are seeking an experienced Senior Data & AI Engineer to join our team in. In this role, you will be a key driver in building and modernizing our enterprise data and AI ecosystem. You will architect and deploy scalable real-time streaming pipelines, modern data products, semantic layers, knowledge graphs, and GenAI/Agentic data infrastructure. The ideal candidate blends deep expertise in large-scale data engineering with cutting-edge hands‑on skills in AI engineering, RAG architectures, and automated data quality systems to power next‑generation business capabilities.

Key Responsibilities

  • Senior Data and AI Engineering professional for large and complex data ecosystem leveraging data domains, data products, cloud and modern technology stack
  • Real-Time Data Streaming:
    Design, build and maintain scalable and robust real-time data streaming pipelines using technologies such as Apache Kafka, AWS Kinesis, Spark streaming, or similar.
  • Senior Data and AI Engineering professional responsible for Implementing Data and AI pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions. This Includes pre-processing with extraction, chunking, embedding and grounding strategies to get the data ready.
  • Design and Develop Data and AI-driven systems to improve data capabilities, ensuring compliance with industry best practices.
  • Design and Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc.
  • Design and Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure.
  • Collaborate with cross-functional…
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