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Principal AI Engineer
Principal AI EngineerMetLife • Cary, NC, US
Principal AI Engineer

Principal AI Engineer

MetLife • Cary, NC, US
22 hours ago
Job type
  • Full-time
Job description

Overview

AI & Data Science Engineer focused on enterprise AI platform development. You will architect, design, and implement core AI / ML infrastructure that underpins next-generation business applications. Collaborate with cross-functional teams to deliver technically sound solutions aligned with organizational goals.

Base pay range

$140,000.00 / yr - $185,700.00 / yr

Responsibilities

  • AI Platform Capability Development : Design, develop, and manage scalable enterprise AI capabilities that support the AI platform.
  • Model Engineering : Design, train, and optimize machine learning and deep learning models for a variety of business use cases (e.g., SLM, computer vision, predictive analytics, recommendation systems).
  • Data Pipeline Engineering : Collaborate with data engineers to design and implement robust data ingestion, transformation, validation, and feature engineering pipelines tailored for AI / ML workloads.
  • Platform Integration : Enable seamless integration of AI capabilities into business applications and workflows through APIs, SDKs, and microservices.
  • Automation & MLOps : Develop and maintain CI / CD pipelines for ML models, ensuring automated testing, versioning, deployment, and monitoring in production environments.
  • Performance & Scalability : Optimize platform components for efficiency, scalability, and reliability using best practices in distributed computing, resource management, and cloud-native architectures.
  • Security & Compliance : Implement and advocate for security, privacy, ethical, and compliance best practices throughout the AI / ML platform and model development lifecycle.
  • Innovation & Research : Stay abreast of the latest trends and advancements in AI, ML, and platform engineering. Evaluate and prototype emerging technologies for inclusion in the enterprise platform.
  • Documentation & Knowledge Sharing : Produce clear technical documentation and participate in knowledge sharing to mentor team members and enable collaboration across the organization.

Essential Business Experience and Technical Skills

Required

  • Bachelor's or Master's degree in computer science, Data Science, Engineering, Mathematics, or a related field. A PhD is a plus.
  • 7+ years of experience in AI / ML engineering, GenAI, data science, or related roles.
  • Proficiency in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, XGBoost, Hugging Face).
  • Strong software engineering skills with experience in Python (required).
  • Proven experience designing, developing, and deploying Generative AI (GenAI) solutions using large language models (LLMs) such as GPT, Llama, Claude, etc.
  • Experience with modern GenAI frameworks and libraries (e.g., LangChain, LlamaIndex, Hugging Face Transformers).
  • Familiarity with best practices for responsible AI, including data privacy, bias mitigation, and model monitoring.

    • Preferred

  • Experience with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and orchestration tools.
  • Hands-on expertise with Retrieval-Augmented Generation (RAG) architectures, including integrating external data sources and vector databases to enhance LLM outputs.
  • Strong understanding of prompt engineering, fine-tuning, and evaluation of generative models for real-world applications.
  • Ability to build, optimize, and scale GenAI pipelines for tasks such as document Q&A, summarization, chatbots, and knowledge retrieval.

    • About MetLife

    MetLife is an Equal Opportunity Employer. All employment decisions are made without regard to race, color, national origin, religion, creed, sex, or any other characteristic protected by law. If you need an accommodation due to a disability, please email accommodations@metlife.com.

    Benefits We Offer

    Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan, life insurance, retirement plans, 401(k) with employer matching, and various voluntary insurance products, plus EAP and digital mental health programs, parental leave, volunteer time off, and tuition assistance.

    Salary / Job Details

    The expected salary range for this position is $140,000 to $185,700. This role may also be eligible for annual short-term incentive compensation. All incentives and benefits are subject to the applicable plan terms.

    Employment details

  • Seniority level : Not Applicable
  • Employment type : Full-time
  • Job function : Engineering and Information Technology
  • Industries : Insurance

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