Senior Manager, AI Engineering

Deckers Brands

. Own the enterprise AI platform, including governed access to foundation models, unified gateway, model routing, prompt and context management, and cost controls .

Posted 9/24/2026full-timeRemote • United StatesSenior💰 $137,500 - $185,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing enterprise AI platforms, including the development and deployment of generative AI applications. Proficient in leading engineering teams, establishing production-readiness standards, and implementing responsible AI policies.

Highest-signal resume keywords

AI Platform ManagementGenerative AI Application DevelopmentAI Evaluation MethodsCloud-Native Engineering LeadershipProduction AI Systems Delivery

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning EngineeringAI Systems EvaluationRetrieval Augmented GenerationLarge Language Model ArchitectureModel Risk DocumentationCost Control for AI SystemsIncident Response PlanningQuality MonitoringRegression TestingGoverned Production Implementation

Soft Skills

LeadershipProblem-SolvingAnalytical ThinkingDecision-MakingCommunication

Tools & Technologies

AWS BedrockAzure OpenAIAI Tooling LandscapeModel Routing FrameworksOrchestration Patterns

Industry Keywords

AI Engineering PatternsProduction-Readiness StandardsHuman-in-the-Loop DesignSafety ControlsFast-Paced Environment

Tech Stack

Tools & technologies

AWSAzureCloud

About the role

Key responsibilities & impact

Own the enterprise AI platform, including governed access to foundation models, unified gateway, model routing, prompt and context management, and cost controls
Define and maintain reusable AI engineering patterns for retrieval augmented generation, agents, orchestration, and LLM application architecture
Lead the evaluation framework for AI systems, including offline evaluation suites, online quality monitoring, regression testing, and release acceptance criteria
Deliver AI applications into production across customer-facing and internal use cases
Manage operational quality for production AI systems, including latency, availability, cost per interaction, quality regression detection, and support coverage
Track the foundation model and AI tooling landscape and manage migrations as models and providers change
Own the AI engineering roadmap and staffing plan
Manage and mentor AI engineers and direct external AI delivery partners
Establish production-readiness standards, including guardrails, safety controls, human-in-the-loop design, fallback behavior, and incident response
Implement responsible AI policy as engineering controls, including model risk documentation, evaluation evidence, output monitoring, and audit trails
Partner with business, digital, data, ML engineering, enterprise architecture, security, privacy, and infrastructure teams to prioritize AI use cases

Requirements

What you’ll need

Bachelor’s degree required, preferably in Computer Science, Engineering, or a related technical field
8–12 years of software, data, or machine learning engineering experience building production systems
3–5+ years leading engineering teams in cloud-native environments
3+ years delivering production AI or machine learning systems
2+ years building generative AI or large language model applications
Experience taking generative AI from proof of concept into governed production, including evaluation, guardrails, and monitoring
Hands-on experience with retrieval augmented generation, agent frameworks, tool use, and orchestration patterns
Experience with foundation model platforms such as AWS Bedrock, Azure OpenAI, or equivalent
Deep understanding of large language model application architecture
Strong grasp of AI evaluation methods, safety and security concerns, and cost awareness for AI systems
Strong leadership and people-management skills
Excellent problem-solving, analytical thinking, and decision-making skills
Strong communication and influencing skills across technical and business stakeholders
Comfortable working in a fast-paced, matrixed, and global environment

Benefits

Comp & perks

Competitive pay and bonuses
Financial planning and wellbeing programs
Time away from work
Employee discounts
Community-based programs
Personal and professional development opportunities
Health and wellness programs