Senior Manager, AI Engineering

Job not on LinkedIn

🔥 8 minutes ago

🌵 Arizona, California, +9 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🗽 New York – Remote 🌲 Oregon – Remote 🍂 Massachusetts – Remote ❄️ Minnesota – Remote 🔔 Pennsylvania – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ☕ Washington – Remote

💵 $137.5k - $185.6k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Deckers Brands

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1973

🏭 Manufacturing

📦 Logistics

👗 Fashion

Manufacturing • Logistics • Fashion

Deckers Brands is a global leader in designing, marketing, and distributing innovative footwear, apparel, and accessories. Known for its high-quality products and trendsetting designs, Deckers Brands encompasses a portfolio of well-known brands that appeal to diverse consumer segments worldwide.

📋 Description

• 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

• 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

• 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