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Sr AI Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Apollo Solutions
Full Time position
Listed on 2026-02-18
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 170000 USD Yearly USD 120000.00 170000.00 YEAR
Job Description & How to Apply Below
Location: New York

Location: Remote with occasional travel to New York, NY

Compensation: $120,000–$170,000 + bonus

A large 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 (Tensor Flow, PyTorch, Keras, scikit-learn, etc.).
  • Experience developing APIs and applying modern engineering best practices.
  • Knowledge of NLP tooling (Spa Cy, NLTK, Hugging Face).
  • Familiarity with AWS cloud environments and cloud-native tools.
Preferred Experience
  • Previous exposure to Generative AI projects.
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