
Senior AI Engineer
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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