AI DevOps Operations Lead at FAM Brands

Beverly Hills, California, United States -

Full Time

Start Date

Immediate

Expiry Date

26 Aug, 26

Salary

185000.0

Posted On

28 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Operations, DevOps, CI/CD, GitHub Actions, Azure, AWS, GCP, Containerization, Infrastructure Automation, Anthropic Claude, Observability, Reliability Engineering, Cost Management, Governance, Scalability, Security Architecture

Industry

Apparel & Fashion

Description

Founded in 2000, FAM Brands designs, manufactures, and sells men’s and women’s sportswear and active wear apparel to major retailers, big box stores, and specialty boutiques across the country and throughout the world. Our portfolio of proprietary brands features Marika, Wildfox, Three Dots, and Balance Collection, while a partial list of licensing partners includes Orvis, Jessica Simpson, Eddie Bauer, and Woolrich. With the capacity to produce over 75 million units per year, our mission continues to be making top-quality apparel accessible to everyone at an impressive value and an irresistible price. That's the FAM Brands difference. SUMMARY AI Operations as a Core Mandate DevOps alone is not sufficient for this role. The AI Operations dimension is equally critical. This individual is expected to own the operational governance, monitoring, reliability, cost management, and scalability of AI systems across the enterprise. As FAM deploys more AI-enabled workflows and integrations, AI Ops becomes a strategic function, not a secondary consideration. This role is one of two foundational pillars of FAM's emerging modern infrastructure and technology leadership team. Together with the Senior AI Architect, this individual helps establish the operational and engineering leadership foundation the practice needs to scale sustainably Business Engagement Expectation Like the Architect role, this individual is expected to lean into the business. They will work directly with functional teams to understand scaling requirements, identify operational friction points that create business impact, and help design AI solutions that are production-ready and operationally sound from day one. This is not a back-office role. Core Mission Build and mature the operational backbone required to scale AI systems, integrations, and automation services across the enterprise, while actively partnering with the business to identify operational opportunities, educating internal stakeholders on AI platform capabilities, and ensuring AI solutions are reliable, scalable, and production-grade. Key Focus Areas CI/CD implementation and AI deployment pipelines AI Operations: governance, monitoring, reliability, cost management, and scalability Infrastructure automation and cloud operations Observability and secure deployment practices AI service operationalization using Anthropic Claude and complementary platforms Business-facing identification of operational scaling opportunities Internal AI education, advocacy, and platform knowledge sharing Building repeatable, enterprise-grade deployment and delivery patterns Technical Requirements Area Requirements CI/CD GitHub Actions, release management Cloud Azure / AWS / GCP, containerization concepts Infrastructure Infrastructure automation, DevOps frameworks AI Platforms Anthropic Claude (required), AI system monitoring and cost management Security Security and permissions architecture, reliability engineering Leadership & Education Expectations Own AI operations as a strategic function, not just an engineering support role Partner with business stakeholders to understand and address scaling requirements Serve as an internal educator and advocate for Claude and operational AI best practices Contribute to roadmap development from an operational and infrastructure perspective Build and lead an operational engineering capability as the team grows COMPENSATION At FAM Brands, we are committed to fair and transparent compensation. Salary ranges for positions are based on job level, location, and market data. We offer competitive benefits and are dedicated to equal pay for equal work. Specific salary offers depend on each candidate’s qualifications and experience. FAM Brands also offers all employees participation in our annual bonus program (Non-Sales) or commission program (Sales). Compensation Range $160,000—$185,000 USD Commitment to Equal Employment Opportunities & Diversity FAM Brands is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. FAM Brands makes hiring decisions based solely on qualifications, merit, and business needs at the time. California Consumer Privacy Act (CCPA) Notice for Job Applicants FAM LLC values your privacy. This notice outlines our practices regarding the personal information of job applicants in compliance with the CCPA. What We Collect: We collect information you provide in your job application, including contact details, educational and employment history. Purpose: We use this information to evaluate your application and manage the hiring process. Disclosure: Your personal information may be shared with service providers assisting with recruitment and as required by law. Your Rights: Under the CCPA, you have the right to access and request deletion of your personal information and to not face discrimination for exercising these rights. For questions or to exercise your rights, contact recruiting@fambrands.com. By applying, you acknowledge you understand our privacy practices.

Responsibilities

Lead the operational governance, monitoring, and scalability of AI systems and deployment pipelines across the enterprise. Partner with business stakeholders to identify scaling opportunities and educate internal teams on AI platform capabilities.