# Ladders — Director, AI Platform & Transformation

- Generated: 2026-09-21 08:02:50 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4467380653/
- Provider: LinkedIn
- Posted: approximately 2026-09-21 07:02 AM EDT (from '1 hour ago')
- Elapsed since posting: represented by the provider's relative posting label and approximate Eastern timestamp when available
- Applicants: Be among the first 25 applicants
- Work model/location: Remote — United States; end employer is unidentified
- Compensation: $218,000-$284,000 annually
- Travel: Not disclosed
- Positioning track: Technical manager
- Fit outcome: PASS — 86%

## Direct-match strengths

Enterprise AI platform strategy, transformation roadmaps, portfolio prioritization, discovery-to-production delivery, scalable AI applications, data-product collaboration, reliability, performance, team growth, adoption, LLMs, MCP, Python, PySpark, healthcare technology, and production GenAI.

## Hard or material gaps

The end employer is unidentified. Direct vLLM and Ray experience is not documented, and Keith's healthcare AI background is stronger in regulated platforms, workflow automation, privacy, and FDA/HIPAA-facing technology than in dedicated clinical decision-support products. Those are material stack/domain caveats, not central hard gaps.

## Evidence map

1. Enterprise AI platform strategy and roadmap (weight 3, evidence 3/3) — Direct platform strategy, architecture, operating model, and roadmap ownership.
2. Prioritize opportunities and lead discovery to production (weight 3, evidence 3/3) — Direct intake, business cases, prototypes, releases, adoption, and outcomes.
3. Build scalable AI applications and ML infrastructure (weight 3, evidence 3/3) — Direct production AI platform, distributed systems, cloud, and MLOps evidence.
4. LLM applications with MCP (weight 3, evidence 3/3) — Direct production LLM, agent, RAG, and MCP implementation.
5. Python and PySpark (weight 2, evidence 3/3) — Direct Python, Spark, and PySpark evidence.
6. vLLM and Ray (weight 3, evidence 0/3) — Not source-supported.
7. AI reliability and performance standards (weight 3, evidence 3/3) — Direct availability, evaluation, observability, latency, routing, and incident controls.
8. Grow teams and drive adoption (weight 2, evidence 3/3) — Direct organization building, enablement, and adoption leadership.
9. Healthcare decision-support AI products (weight 3, evidence 1/3) — Healthcare technology and AI are direct; dedicated decision-support product ownership is limited.
10. Verified end employer (weight 1, evidence 0/3) — Unidentified; retained under the 80%+ exception.

## Keyword diagnostic

Strong AI-platform, transformation, LLM/MCP, Python/PySpark, production, reliability, adoption, and healthcare-technology alignment; vLLM, Ray, and decision-support specialization are caveats.

## Full normalized job description

For our client, we are seeking a Director, AI Platform & Transformation to join the team of a leader in the Healthcare space.
This role will shape the enterprise AI platform strategy and guide the transformation of AI capabilities across the organization. The Director will prioritize high-impact opportunities, move initiatives from discovery through production, and partner closely with Data and Engineering to deliver scalable, usable solutions. This position also plays a key role in establishing reliability and performance standards while helping drive adoption of AI across the business.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $218,000 – $284,000 annually
Responsibilities
Define the AI platform and transformation roadmap
Prioritize AI opportunities across business areas
Lead initiatives from discovery to production launch
Architect and scale AI applications using advanced technologies
Collaborate with Data and Engineering to improve data product usability
Establish standards for AI system reliability and performance
Grow teams and drive AI adoption across the organization
Qualifications
7+ years building and scaling AI software products for large audiences
Experience designing large-scale machine learning infrastructure
4+ years developing and deploying AI and generative AI systems
3+ years of experience building AI applications with LLMs
Hands-on experience with AI systems using vLLM, Ray, and MCP
Strong proficiency in Python, PySpark, and other relevant technologies
Experience in healthcare decision-support AI products
Benefits
Remote work within the United States
Opportunity to shape enterprise AI strategy
Collaborative work environment with cross-functional teams
Growth potential in a pioneering healthcare technology organization
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.

## Artifact metadata

- Resume: https://bit.ly/46zFC0A
- Cover letter: https://bit.ly/4yOPUGa
- Validation: PASS — 2-page resume (930 words), 1-page cover letter (203 words); PDF geometry, bounds, annotations, links, and visual pages verified.
- Google Drive used: No