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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director, AI Enablement and Innovation - **Company:** UKG Inc. - **Location:** Albany, NY, United States - **Experience:** Experienced - **Salary:** $129,500.0 - $186,100.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software as a Service, Computer Literacy, Learning Management Systems, Decision Support Systems, Graph Database, Information Sciences, Knowledge Management, Metadata, Metadata Standards, Open Source Technology, Recommender Systems, Search Technologies, Chatbots, Large Language Models - **Published:** July 26, 2026 - **Apply:** https://www.juju.com/job/00000000gji6zv ## About the Role + 8+ years' experience in knowledge management, product/technical program management, or AI/data product roles with at least 3+ years leading teams or programs. + Practical experience deploying enterprise AI/search/KM solutions (LLM/RAG, vector search, knowledge graphs, conversational AI) and implementing integrations between LMS/CMS/KM systems. + Strong technical literacy: APIs, data modeling, metadata/taxonomy design, and vendor evaluation for AI/KM tooling. + Experience working with engineering/product teams to bring technical solutions to production. Preferred Qualifications: + Bachelor's degree in technical field, information science, or equivalent experience. + Hands-on experience with LLMs, vector databases, RAG approaches, and tools + Experience in SaaS/HR tech or with support and digital adoption use cases. + Familiarity with content localization pipelines and enterprise taxonomy management. + Advanced degree in information science, AI, or related field., Technical product leadership, innovation & experimentation, systems thinking, data-driven decision making, stakeholder influence across technical and non-technical partners, risk and governance orientation. ## Description Lead innovation and knowledge strategy for CX (Customer Experience) Learning & Enablement by defining knowledge architecture, implementing AI and workflow intelligence solutions, and driving automation across the content lifecycle. Combine product, data and learning expertise to deliver modern, searchable, and integrated knowledge experiences that reduce friction for learners, support agents and partners. Core Responsibilities: + Define and own the knowledge architecture and taxonomy strategy for CX learning and enablement content (including canonical content models, metadata standards, and governance). + Design and implement generative AI/RAG solutions, intelligent search, conversational assistants, and contextual learning surfaces that integrate with product workflows and frontline tools. + Own strategy and execution for content lifecycle automation and integrations (CMS * LMS * KM * product docs * translation pipelines), improving authoring, review, and publishing velocity. + Act as technical product owner for integrations and tooling (content APIs, search, knowledge base platforms, LLM infra), coordinate with Product Engineering and P&E for secure, scalable deployments. + Drive experimentation and pilot programs to validate AI/automation use cases (e.g., auto-summary, auto-tagging, content recommendations, test generation). Evaluate vendors and open-source approaches; manage POC lifecycle. + Implement measurement frameworks for knowledge efficacy: search success, answer relevance, RAG precision/recall, content reuse, time to publish, and impact on case deflection and support outcomes. + Build data governance practices for content/AI (bias, privacy, provenance, feedback loops). + Collaborate with Curriculum Development, Learning Business Partners, Adoption & Value, and Support to ensure innovation projects map to clear business outcomes. ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Give Your LLMs a Left Brain](https://www.wearedevelopers.com/videos/1160-give-your-llms-a-left-brain) - [New AI-Centric SDLC: Rethinking Software Development with Knowledge Graphs](https://www.wearedevelopers.com/videos/1417-new-ai-centric-sdlc-rethinking-software-development-with-knowledge-graphs) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)