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Senior AI Engineer

United StatesRemoteFull TimeSeniorPosted 13 days ago

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Role summary

We are seeking an experienced Senior AI Engineer to design, develop, and deploy enterprise-scale AI solutions for privacy operations, impacting over 100 million users. This role focuses on leveraging Generative AI, Agentic AI, LLMs, RAG, and MLOps within a regulated environment. The ideal candidate will possess strong expertise in AI engineering, cloud platforms, data engineering, and responsible AI practices, with a proven track record of building production-grade AI systems.

Position Overview

We are seeking an experienced Senior AI Engineer to design, develop, and deploy enterprise-scale AI solutions that power privacy operations across a customer ecosystem exceeding 100 million users. This role will be part of the Data & Intelligence organization and will focus on leveraging Generative AI, Agentic AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and MLOps to automate and enhance privacy-related workflows.

The ideal candidate will have strong expertise in AI engineering, cloud platforms, data engineering, and responsible AI practices, with experience building production-grade AI systems that operate in highly regulated environments.

Required Qualifications

  • 8+ years of experience in Machine Learning, AI Engineering, Data Science, or Software Engineering.
  • Strong programming skills in Python and SQL.
  • Hands-on experience with:
  • LLMs, Generative AI, and Agentic AI systems
  • LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks
  • RAG architectures and vector databases
  • Databricks, PySpark, Snowflake, or Azure Data Factory
  • AWS and/or Azure cloud platforms
  • MLOps, CI/CD, Docker, Kubernetes
  • Experience deploying production AI solutions at scale.

Preferred Qualifications

  • Experience implementing AI systems within regulated industries such as telecommunications, healthcare, financial services, or privacy-focused domains.
  • Knowledge of privacy and compliance regulations (CCPA, CPRA, TCPA, GDPR).
  • Experience with AI observability, evaluation frameworks, and human-in-the-loop systems.
  • Familiarity with foundation model fine-tuning, model governance, and responsible AI frameworks.
  • Experience leading technical initiatives and mentoring engineering teams.
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