**Sr AI Engineer
Location:**
Remote with occasional travel to New York, NY
Compensation:
$120,000–$170,000 + bonus
A large Fortune 500 insurance company is expanding its AI & Data function. This organization has spent decades building a reputation for trust, long-term thinking, and a people-first culture. Today, they’re investing heavily in modern AI capabilities to support a diversified portfolio across insurance, financial products, and emerging digital initiatives.
You’ll join a well-supported AI group that combines product managers, data scientists, AI engineers, platform engineers, and model governance specialists. The team works on a wide range of AI and GenAI initiatives, partnering closely with business stakeholders from ideation through deployment. Leadership buy-in is strong, and the environment encourages experimentation, collaboration, and continuous learning.
What You’ll Do
- Design and build production-grade AI and ML solutions.
- Ensure AI code meets engineering best practices and high-quality standards.
- Implement, optimize, debug, scale, and monitor ML models in production environments.
- Work with Platform Engineers to automate deployment pipelines and tooling.
- Collaborate on solution architecture, ensuring ML systems integrate seamlessly into real-world applications.
What You’ll Bring
- 5+ years of software engineering experience, including 2+ years building AI/ML solutions.
- Strong Python skills and background with ML frameworks (TensorFlow, PyTorch, Keras, scikit-learn, etc.).
- Experience developing APIs and applying modern engineering best practices.
- Knowledge of NLP tooling (SpaCy, NLTK, Hugging Face).
- Familiarity with AWS cloud environments and cloud-native tools.
Preferred Experience
- Previous exposure to Generative AI projects.
- Experience with vector databases.
- Kubernetes knowledge.
- Experience working with MCP servers.