Note: The job is a remote job and is open to candidates in USA. iFIT is creating a new role at the intersection of AI innovation and enterprise operations. The Director of AI, Operations will design and deploy AI agents, tools, and workflows to enhance operational capabilities and raise AI fluency within the Operations leadership team.
Responsibilities
- Design, build, and deploy AI agents and AI-powered tools that solve real operational problems across S&OP, Member Care, Quality, Procurement, Logistics, and Customs
- Develop enterprise-ready applications that can be released globally, built to IT and Data Engineering standards from day one
- Partner with IT and Data Engineering teams to integrate solutions into existing enterprise systems including ERP and CRM platforms
- Audit current workflows across all Operations functions to identify the highest-value opportunities for AI and intelligent automation
- Evaluate the AI tool landscape and bring a clear, defensible point of view on what iFIT should build, buy, or avoid
- Coordinate a dotted-line network of AI SMEs embedded across Operations functions, acting as their mentor, escalation point, and connective tissue
- Raise the AI skills of the entire Operations leadership team through hands-on enablement, not just training decks
- Build a culture of AI curiosity and applied experimentation across Operations so this work outlasts any single project
- Serve as the internal AI authority for Operations, representing the function in cross-company AI strategy conversations
- Document processes before and after implementation so every gain is measurable and defensible to the COO and executive team
- Translate complex technical solutions into plain language that operations leaders and frontline managers can act on
- Produce a rolling AI roadmap for Operations that gives leadership visibility into what is in progress, what is next, and what has shipped
Skills
- You have built and shipped AI agents or AI-powered applications that are currently in use in a real environment, not a proof of concept sitting in a repo
- You write code at a working level. Python, JavaScript, or a similar language. You build from scratch when you need to and you know when not to
- You have released enterprise-ready applications at scale, with an understanding of how to work within IT governance, security requirements, and global deployment standards
- You know how to work with IT and Data Engineering teams as a peer, not a requester. You speak their language and they trust your judgment
- You have coordinated or mentored a distributed group of technical contributors and made them collectively more capable
- You have brought external knowledge into an organization and changed how people think about what is possible with AI
- You communicate clearly and directly. You can explain what you built and why it matters to a COO who has never written a line of code
- Degree or equivalent experience in Computer Science, Engineering, Operations, Supply Chain, or a related field
- Hands-on experience building with LLMs, AI agents, multi-agent frameworks, or production-grade AI systems
- Familiarity with API integrations and the ability to connect enterprise systems that were not designed to talk to each other
- Experience in or adjacent to a startup environment where shipping fast and owning outcomes was the expectation, not the exception
- Track record of working across functions and earning trust with business leaders who are skeptical of technology for its own sake
- Experience coordinating dotted-line teams, cross-functional working groups, or distributed SME networks
- Demonstrated ability to raise the technical capability of non-technical stakeholders through enablement, not just presentation
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