Manager, AI Engineering

Ladders; United States; Remote; USD 135,000 - 160,000; Full time

Benefits offered by this job

Remote work options

Flexible work arrangements

Impactful healthcare AI projects

Collaborative culture

Professional development

Job summary

Ladders is seeking a Manager, AI Engineering to lead a team of engineers building production AI solutions for healthcare workflows. This role blends hands-on technical leadership with people management, incident response, and cross-functional collaboration to deliver measurable outcomes.

You will translate product priorities into execution plans, partner with product leadership, and guide architectures that combine classical ML, LLMs, and document AI.

Qualifications

• 10+ years of experience in software engineering, machine learning, or data science.
• 3–5 years of people management experience.
• Bachelor's or Master's degree in Computer Science, AI, Data Science, Statistics, or a related field.
• Experience delivering classical ML and LLM-based applications into production.
• Familiarity with sensitive or regulated data, preferably in healthcare.
• Strong expertise in AI solution design, classical ML, LLMs, document AI, and relevant technologies.

Responsibilities

• Lead and develop a team of 5+ engineers through coaching, mentoring, and structured feedback.
• Own end-to-end engineering execution, including planning and incident response.
• Translate the AI roadmap into quarterly plans with measurable outcomes.
• Collaborate with product managers to shape the roadmap and scope AI use cases.
• Guide the architecture of production AI solutions using classical ML, LLMs, document AI, and related technologies.
• Review designs and code while remaining hands-on with prototypes.
• Build reusable components and internal platforms to support scalable capabilities.

Skills

Team leadership

ML systems

Software engineering

Healthcare data

Architecture design

Cross-functional collaboration

Education

Bachelor's or Master's in CS/AI/DS

Tools

Classical ML

LLMs

Document AI

Job description

For our client, we are seeking a Manager, AI Engineering to join the team of a leader in the Healthcare space. This role will lead a team of engineers focused on building and scaling production AI solutions that create meaningful impact across healthcare workflows. You will translate product and technical priorities into clear execution plans, partner closely with product leadership, and guide the architecture of solutions that combine classical ML, LLMs, and document AI. The position blends hands‑on technical leadership with people management, incident response, and cross‑functional collaboration to deliver measurable outcomes.

Location: Remote

Compensation: $135,000 – $160,000 annually

Responsibilities

• Lead and develop a team of 5+ engineers through coaching, mentoring, and structured feedback
• Own end-to-end engineering execution, including planning and incident response
• Translate the AI roadmap into quarterly plans with measurable outcomes
• Collaborate with product managers to shape the roadmap and scope AI use cases
• Guide the architecture of production AI solutions using classical ML, LLMs, document AI, and related technologies
• Review designs and code while remaining hands‑on with prototypes
• Build reusable components and internal platforms to support scalable capabilities

Qualifications

• 10+ years of experience in software engineering, machine learning, or data science
• 3-5 years of people management experience
• Bachelor's or Master's degree in Computer Science, AI, Data Science, Statistics, or a related field
• Experience delivering classical ML and LLM-based applications into production
• Familiarity with sensitive or regulated data, preferably in healthcare
• Strong expertise in AI solution design, classical ML, LLMs, document AI, and relevant technologies

Benefits

• Remote, hybrid, or office work environment
• Flexible work arrangements with potential for reasonable accommodations
• Opportunity to work on impactful AI solutions in healthcare
• Collaborative culture with cross‑functional partnerships
• Focus on professional development and team growth

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.