Senior Engineering Manager, AI Platform

This is a fully remote position, open to applicants in United States.

📋 Description

• Recruit, onboard, and nurture Applied AI Engineers at Senior, Staff, and Senior Staff levels.

• Expand the team from a single pod into multiple teams as project demands increase.

• Lead the planning and implementation of production LLM-based agents and assistants from initial scoping through to launch and ongoing management.

• Collaborate with Staff+ engineers on the architecture for agent runtime, orchestration, retrieval, model access, and observability.

• Make informed technical trade-off decisions.

• Develop evaluation sets, regression tests, and AI-graded assessments as part of the deployment process.

• Oversee operational health, including on-call responsibilities, incident response, provider fallbacks, model upgrades, and AI expenditure.

• Ensure AI systems safeguard patient data, adhere to least-privilege access, and protect against prompt injection attacks.

• Work together with Security and Compliance teams to meet HIPAA standards.

• Prioritize AI workflows and use cases in collaboration with Product and Operations leaders.

• Assess when agents should transition tasks to human operators and which initiatives should take precedence.

• Articulate AI capabilities, risks, and timelines to product, operations, clinical, and executive stakeholders.

• Facilitate planning, prioritization, and delivery processes.

• Provide constructive feedback and assist in career development.

• Execute other tasks as assigned.

⛳️ Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline.

• Over 10 years of experience in software engineering.

• A minimum of 3 years of direct management experience with engineers, including recruiting, performance management, and professional development.

• Proven experience in leading or constructing LLM-based systems in production for real users.

• Experience managing senior and Staff-level engineers and gaining their technical trust.

• Practical understanding of agent runtime, evaluation, retrieval, and observability.

• Strong foundation in production engineering encompassing testing, services, APIs, deployment, incident management, and on-call duties.

• Experience leading teams that handle sensitive data with a focus on security.

• Comfortable working in a greenfield environment.

• Ability to communicate clearly with both technical and non-technical stakeholders.

• Preferred: Experience in healthcare, finance, or insurance sectors.

• Preferred: Familiarity with GCP.

• Preferred: Experience in scaling engineering teams.

• Preferred: Knowledge of model-versioning or provider migration.

• Preferred: Experience in machine learning beyond LLMs.

• Preferred: Experience leading internal platforms utilized by engineering teams.

🏝️ Benefits

• Medical, Dental, and Vision insurance plans.

• Flexible Spending Accounts/Health Savings Accounts.

• Flexible Paid Time Off (PTO).

• 401(k) with Company Match.

• Life Insurance coverage.

• Pet insurance options.

• Competitive base salary.