Vertical AI Platform Lead

Smart Energy Water; California; On-site; USD 150,000 - 190,000; Full time

Job summary

SEW.ai in Irvine, CA and Las Vegas, NV seeks an experienced AI/ML engineer to lead development of AI/ML platforms for energy, utilities, and related verticals. You will collaborate with internal teams and global clients to translate use cases into scalable features that deliver value.

The role requires deep expertise in ML/AI, data engineering, governance, and strong communication to drive responsible AI adoption and business outcomes.

Qualifications

• Bachelor’s or Master’s degree in a relevant field.
• 5–8 years of experience in AI/ML or data science.
• Experience with large-scale financial or transactional data preferred.
• Able to influence business strategy and communicate at all levels.
• Able to understand client challenges from business and technology perspectives.
• Able to independently develop client accounts and create value.

Responsibilities

• Lead development and deployment of AI/ML and Vertical AI platform solutions.
• Serve as business/technical lead for model architecture, training pipelines, and inference services.
• Mentor AI Engineers and ML practitioners; provide reviews.
• Implement AIOps/MLOps and governance aligned with MRM standards.
• Partner with Risk, Compliance, Legal, Cybersecurity, and Data teams for Responsible AI.
• Oversee model validation, explainability, and audit readiness.
• Collaborate with product and business leaders to translate use cases into scalable features.
• Engage clients and partners to measure innovation and satisfaction; offer support when needed.

Skills

Communication

Problem-solving

Project management

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science

Tools

Python

PyTorch

TensorFlow

JAX

LangChain

Vector embeddings

Job description

SEW.ai in Irvine, CA and Las Vegas, NV seeks an experienced AI/ML engineer to lead development of AI/ML platforms for energy, utilities, and related verticals. You will collaborate with internal teams and global clients to translate use cases into scalable features that deliver value.

The role requires deep expertise in ML/AI, data engineering, governance, and strong communication to drive responsible AI adoption and business outcomes.