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# Senior Forward Deployed AI Engineer

- **Company:** The Ladders
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $145,000.0 - $165,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Engineering, Monitoring of Systems, Python (Programming Language), Multi-Agent Systems, Model Validation, AI Platforms, Machine Learning Operations
- **Published:** October 9, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pq002cdxtr

## About the Role

* Six or more years of experience delivering product-grade software, particularly AI-powered features to production.
 * Strong background in probabilistic software, evaluating models, and understanding failure modes.
 * Proven ability to set and maintain a validation standard among senior stakeholders.
 * Exceptional product delivery instincts, capable of refining vague requests into validated designs.
 * Proficiency in Python and practical cloud engineering, particularly with APIs, AWS, and Bedrock.

## Description

This role will own AI solution delivery end-to-end, from early intake and validation through deployment and monitoring in production. The position partners closely with senior stakeholders to establish strong standards for model evaluation, governance, and safe release of patient-facing capabilities. It also focuses on building reusable AI orchestration layers, scalable model-serving patterns, and practical cloud-enabled integrations that improve how healthcare teams deliver and operationalize AI., * Own AI solutions end-to-end, from intake to deployment and monitoring in production.

 * Set validation standards to ensure un-vetted features do not reach patients.
 * Build comprehensive agentic layers for AI integrations and orchestration.
 * Architect on the company AI platform, ensuring consistent model serving and monitoring tools.
 * Define acceptance criteria and evaluation methods before development begins.
 * Run projects through AI intake and risk categorization to ensure governance is embedded from the start.
 * Create reusable assets with each engagement to contribute back to shared resources.