TL;DR

Lead AI Engineer (AI Engineering): Lead design and deployment of advanced AI and ML solutions including LLMs and generative AI to drive strategic decision-making and business transformation. Focus on architecting scalable AI systems, promoting best practices, and mentoring talent in a large enterprise environment.

Company

%hirify_global% is a leading life insurance company focused on business transformation through advanced AI and data science.

What you will do

Architect and lead end-to-end ML/AI solutions using LLMs, deep learning, and probabilistic modeling from ideation to production.
Deploy scalable GenAI and Agentic AI systems aligned with business goals.
Establish and promote best practices in AI development and responsible deployment.
Drive innovation by identifying emerging technologies and translating research into practical applications.
Collaborate with engineering teams to build production-grade AI pipelines and APIs.
Mentor and develop junior talent fostering technical excellence and continuous learning.

Requirements

7+ years of experience in data science, machine learning, or AI engineering roles.
Deep understanding of machine learning, statistics, NLP, optimization, and LLMs.
Hands-on experience with AI deployment and orchestration frameworks (e.g., MLflow, llama-index, MCP).
Strong programming skills in Python; proficiency in SQL and database design.
Exceptional communication skills to explain complex concepts to non-technical stakeholders.
Education: M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or related field.

Culture & Benefits

Equal employment opportunity employer welcoming all applicants.
Accommodation available for application process.
Ongoing application acceptance until position is filled.