# Ladders - Senior Director, AI Engineering

- JD title: Senior Director, AI Engineering
- JD Company: Ladders
- JD url: https://www.linkedin.com/jobs/view/4450486137
- JD Posting date and time: Estimated 2026-08-13 06:44 AM EDT; derived from LinkedIn public value '4 hours ago' at capture time 2026-08-13 10:44 AM EDT
- Number of applicants if available: 25 applicants
- Date and time the resume was generated: 2026-08-13 10:44 AM EDT
- Elapsed time between JD Posting date and time vs the resume generation time: 4 hours, 0 minutes
- JD level: Senior manager / executive management role. The LinkedIn title and JD language indicate Director, Senior Director, VP, Executive Director, AVP, or explicit manager scope with team, stakeholder, transformation, strategy, delivery, architecture, or operating-model leadership responsibilities.
- Compensation: Not disclosed in public LinkedIn capture.
- Count and percent of matching Significant keywords in JD vs in resume: 6 JD / 5 resume (83.3%)
- Fit Notes / caveats: Ladders appears to be presenting this on behalf of an unnamed client; verify true employer, work model, and sponsorship before applying.
- JD text: See captured JD below.

## Captured JD

For our client, we are seeking a Senior Director AI Engineering to join the team of a leader in the Telecommunications & Hardware space. This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will work across engineering, product, operations, and business stakeholders to translate complex requirements into practical technology solutions. The position offers the opportunity to influence architecture, execution quality, and the technology capabilities that enable long-term growth within a Telecommunications & Hardware environment.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $229,600 – $337,000 annually

 Responsibilities

 Oversee technical quality of AI model outputs impacting content production
 Collaborate with PMs and teams to define performance requirements for AI models
 Define and track quality and cost metrics for model performance aligned with business goals
 Modify workflows and model outputs hands-on
 Lead engineering and scientific teams in altering technical approaches
 Focus on human-centered design and practicality to drive impactful solutions

 Qualifications

 Graduate degree in Computer Science or Electrical Engineering required
 7+ years of experience as a software engineer in a cloud-native environment (AWS, Kubernetes)
 5+ years leading software engineers in an AI team
 Experience with deep learning frameworks (PyTorch, Langfuse, LangGraph, etc.) and compound AI systems
 Hands-on development and deployment of Machine Learning/Deep Learning in real-time settings
 Demonstrated track record of complex AI project delivery
 Excellent communication skills

 Benefits

 Work in a remote-first environment
 Opportunities for growth in a cutting-edge AI company
 Collaborate with diverse experts across fields
 Engagement in challenging and meaningful AI projects

 Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

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 Seniority level

 Mid-Senior level

 Employment type

 Full-time

 Job function

 Engineering and Information Technology

 Industries

 Media and Telecommunications

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