Manager, AI Engineering

Responsibilities

• Own the end-to-end process for gathering, documenting, and prioritizing data and technology requirements for MRCL platform features and integrations
• Design, build, and maintain Kitchen skills within the MRCL platform, ensuring they are well-structured, tested, and deliver high-quality, repeatable outputs for end users
• Partner with AI and data strategy teams to understand capability needs and translate them into technical specifications and buildable solutions
• Maintain a clear view of the skills ecosystem — identifying gaps, redundancies, and opportunities for improvement across the skill library
• Support onboarding and enablement of internal teams on how to effectively use and contribute to the MRCL skill ecosystem
• Lead the strategic adoption and operationalization of AI technologies across the MRCL platform, including LLM-powered applications, agentic workflows, and AI services, ensuring scalable, secure, and enterprise-grade deployment
• Establish governance and best practices for AI systems, including model lifecycle management, observability, evaluation frameworks, responsible AI standards, and integration with enterprise data and security controls

Qualifications

• Hands-on experience in software, data or platform engineering with an ability to build and maintain technical integrations
• Proficiency in requirements gathering, technical documentation, and translating business needs into engineering specifications
• Praactical knowledge of skill development and prompt engineering within AI platforms
• Solid understanding of data architecture, APIs, and system connectivity
• Detail-oriented with strong quality assurance instincts — experienced in testing protocols and version control practices
• Effective collaborator across technical and strategic stakeholders, able to bridge engineering and business perspectives
• Self-starter who can manage multiple workstreams and prioritize effectively in a fast-moving platform environment