VP, AI Platform

Hotel Engine

. Lead Engine’s AI Platform as a founding VP .

Posted 9/15/2026full-timeRemote • United StatesLead💰 $336,000 - $400,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in leading AI platform development, including hands-on expertise with LLMs, agents, and orchestration. Proven ability to architect core platform services while ensuring security, privacy, and operational efficiency.

Highest-signal resume keywords

AI/ML Platform EngineeringLeadership in Engineering TeamsHands-On LLM DevelopmentCross-Functional Technical StrategySecurity and Privacy Controls

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Platform EngineeringAI/ML DevelopmentLLM ExpertiseOrchestrationEvaluation FrameworksAutomation EngineeringAPIsData InfrastructureCost ControlReliability Engineering

Soft Skills

Cross-Functional CollaborationTeam BuildingStrategic Decision-MakingMentoring Engineering Talent

Tools & Technologies

AI HarnessAgent FrameworkPrompt LibrariesEvaluation InfrastructureObservability ToolsAutomated Reporting Systems

Industry Keywords

AI PlatformEnterprise AI RoadmapProduct OperationsShared PlatformsBuild-Versus-Buy Decisions

Tech Stack

Tools & technologies

Ruby on Rails

About the role

Key responsibilities & impact

Lead Engine’s AI Platform as a founding VP
Set technical strategy, build hands-on during the early phase, and scale the organization through a Director and principal engineers
Serve on The Triad with Applied AI and Workforce Transformation leaders to prioritize the enterprise AI roadmap and resolve cross-domain decisions
Own the LLM gateway, agent framework, prompt and agent libraries, and evaluation infrastructure
Lead developer experience and the Velocity program, including the AI harness, coding agents, testing, autonomy frameworks, and coverage gates
Rebuild product operations as AI-native software with instrumented cadences, automated reporting, gap analysis, and the PD maturity scorecard
Own shared automation engineering, APIs, orchestration, and integrations
Own AI data infrastructure including retrieval and RAG, context pipelines, evaluation datasets, agent memory, and usage telemetry
Establish observability, security, and cost controls for platform AI in partnership with Security and IT
Maintain one shared enterprise-wide AI platform without parallel stacks
Grow the platform organization across agent platform, infrastructure, evaluation, observability, security, and developer experience
Deliver live, adopted platform rails, measured Velocity baselines, autonomy pathways, a flagship platform capability, security and cost controls, and a functioning Triad rhythm within the first six months

Requirements

What you’ll need

15+ years in software or platform engineering
5+ years leading engineering teams or organizations
8+ years building platforms or infrastructure other teams depend on
3+ years hands-on with production AI/ML, including LLMs, agents, and evaluation
Experience building and running shared platforms used by many teams
Experience making build-versus-buy and architecture decisions shaping an engineering organization
Hands-on expertise with LLMs, agents, orchestration, evaluation, latency, cost, reliability, and safety
Ability to personally architect and ship core platform services
Experience partnering with executive peers on technical strategy and driving cross-functional alignment
Proven ability to hire, level, and grow senior engineering talent
Ability to build security, privacy, and safe-use controls into AI infrastructure by default

Benefits

Comp & perks

Competitive base pay tied to role and experience
Equity for all employees
Some roles are also eligible for bonuses or commissions
Benefits available through Engine’s full benefits list
Hybrid-hub model with office-based or fully remote environments depending on role
Employer-provided resources to support success in the work environment