Director of Engineering, AI/ML

LHH US; California (MO); On-site; USD 250,000 - 380,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) plan w/match

14 days of PTO + 9 holidays

Job summary

LHH US in Los Angeles is seeking a Director of Engineering, AI/ML to lead the development and scaling of advanced AI models across core operations and customer interactions. You will build and manage a world-class ML team, drive end-to-end lifecycle from R&D to deployment, and address Insurtech challenges with data-driven AI solutions that improve underwriting, claims, and support processes.

The role demands deep expertise in ML algorithms, NLP, LLMs and Generative AI, strong leadership, and

Qualifications

• Required: 8+ years of experience in Machine Learning, Deep Learning, NLP, LLMs, and Generative AI.
• Required: 5+ years of experience in building large-scale enterprise applications and platforms.
• Required: 5+ years of hands-on AI/ML engineering experience.
• Required: 5+ years of management experience.

Responsibilities

• Lead and manage the machine learning team to build state-of-the-art AI models focusing on personalization, recommendations and automation.
• Design and implement ML solutions to personalize customer and agent experiences across core product lifecycle.
• Implements AI solutions to optimize processes and reduce operational costs.
• Lead GenAI efforts for operation automation and customer experience improvement.
• Collaborate with leadership, product, and technical teams to align ML strategy with business goals.
• Maintain knowledge of AI advancements and apply them to drive innovation.
• Provide mentorship to junior team members and foster a culture of excellence.

Skills

Machine Learning

Deep Learning

NLP

LLMs

Generative AI

Java

Python

ML frameworks

Education

B.S. CS/DS/Math

M.S./Ph.D. CS/DS/Math

Tools

AWS

Sagemaker

MLflow

Job description

Job Description

Job Description

LHH is seeking a Director of Engineering, AI/ML, in a full-time capacity.

In this role, you'll lead the development and scaling of advanced AI models and capabilities that automates internal operation as well as provides personalized experience for our customers and agents. This role is essential in building and managing a world-class team of ML Engineers and Data/ML Scientists. Your expertise will guide teams in building reliable systems that deliver impactful solutions. This role will be pivotal in developing and deploying innovative AI solutions at scale, address Insurtech challenges.

You will drive the company's mission forward by optimizing policy/coverage recommendations, providing personalized experience with data, and driving automation to reduce human effort across Underwriting, Claim, Customer Support etc. using AI/ML. You will oversee the entire machine learning lifecycle, from concept to deployment, with strategic focus on delivering impactful, data-driven solutions. The ideal candidate will have deep expertise in Machine Learning algorithms, Deep Learning, NLP, LLMs, and Generative AI technologies, with a strong background in Insurtech related AI applications being highly desired.

If you are passionate about driving change through AI, this is an exceptional opportunity.

Salary & Benefits:

• $250k to $380k (DOE) + discretional and holiday bonus
• Medical, dental, and vision insurance
• 401(k) plan w/match
• 14 days of PTO + 9 paid holidays to start

Qualifications:

1. Required: B.S. Data Science, Computer Science, Mathematical or related / Preferred: M.S./PHD Data Science, Computer Science, Mathematical or related
2. Required: 8+ years of experience in Machine Learning, Deep Learning, NLP, LLMs, and Generative AI.
3. Required: 5+ years of experience in building large-scale enterprise applications and platforms.
4. Required: 5+ years of recent hands-on engineering experience in AI/ML application development.
5. Required: 5+ years management experience (people leadership).
6. Required: 5+ years of with heavy Data Science experience.
7. Required: Strong background in applied research and engineering, with a demonstrated ability to lead projects from R&D to deployment.
8. Required: Knowledge in large-scale system deployment of AI models.
9. Required : Expertise in building and optimizing POCs, with hands-on experience in training and fine-tuning AI models.
10. Required: Advanced proficiency in Java, Python, ML frameworks and ML libraries.
11. Required: Great communication and leadership skills, with the ability to present complex ideas to both technical and non-technical audiences.
12. Very nice to have: 3+ years of experience on public cloud such as AWS, Sagemaker, MLflow, etc. is preferred.
13. Nice to have: 3+ experience on insurTech (Insurance Technology specific applications)

Responsibilities:

• Lead and manage the machine learning team to build state-of-the-art AI models, focusing on user experience personalization, recommendations and operation automation.
• Design and implement ML solutions to personalize customer and agent experience across core product lifecycle (quote, bind, service, claim, etc.).
• Implements AI solutions to optimize processes and reduce operational costs.
• Lead GenAI effort for both operation automation and customer experience improvement.
• Collaborate with leadership, product, and technical teams to align ML strategy with business goals.
• Maintain cutting-edge knowledge of advancements in AI, include in Machine learning algorithms, Deep Learning, Generative AI, NLP, and LLMs, and apply them to drive innovation within the organization.
• Provide leadership and mentorship to junior team members, fostering a culture of innovation, collaboration, and excellence.

Equal Opportunity Employer/Veterans/Disabled

To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

The California Fair Chance Act

Los Angeles City Fair Chance Ordinance