Knowledge Engineering Senior Manager (AI)

Location: Hybrid role based at one of the listed U.S. hirify.global offices, including San Francisco, Milwaukee, Dallas, Columbus, Kirkland, Cincinnati, New York, Cleveland, Oklahoma City, Austin, Albany, Chicago, St. Pete, Hartford, Pittsburgh, St. Louis, Miami, Sacramento, Raleigh, Minneapolis, Mountain View, Scottsdale, Morristown, Denver, Boston, Philadelphia, Des Moines, Overland Park, Los Angeles, Charlotte, Walnut Creek, Carmel, Seattle, Houston, Arlington, Atlanta, Orlando, Redmond, Bentonville, Beaverton, Nashville, Detroit, or San Diego.

Annual salary range: $112,900–$338,300, depending on office location, role, skills, and experience.

Company

hirify.global is a global professional services company helping organizations build digital capabilities and transform operations through technology, cloud, data, AI, and industry expertise.

What you will do

• Lead knowledge engineering across strategic and complex customer-service programs, providing technical direction, quality oversight, delivery accountability, and measurable outcomes.
• Define the strategy and architecture for a governed single source of truth combining knowledge bases, documents, product and policy data, and case history into knowledge graphs and semantic layers.
• Set standards for service ontologies, taxonomies, knowledge curation, governance, ownership, review cycles, access rules, and content lifecycles.
• Design how trusted knowledge grounds virtual agents, agent-assist copilots, and analytics agents in partnership with AI Solution Engineering and Enterprise AI Architecture leaders.
• Lead sales and pre-sales efforts, executive business cases, client stakeholder relationships, and thought leadership on knowledge as the foundation for AI in customer service.
• Lead, coach, and grow knowledge engineering teams while developing reusable ontologies, knowledge models, curation pipelines, accelerators, and AI-augmented delivery practices.

Requirements

• 10+ years in data, AI, search, or information architecture, including at least 6 years with knowledge graphs and semantic technologies such as RDF, SPARQL, LPG, and SHACL.
• At least 6 years designing schemas, managing ontologies, and curating knowledge graphs; at least 4 years designing and developing knowledge graph solutions and graph-based ML models.
• At least 3 years implementing end-to-end data pipelines for AI applications, especially LLMs, with hands-on design and configuration experience.
• At least 6 years with relational databases, object stores, graph databases such as Stardog, Neo4j, and Amazon Neptune, and vector databases.
• At least 5 years leading knowledge, data, or AI transformation in customer service, contact center, or customer experience, with understanding of containment, first-contact resolution, average handle time, CSAT, and cost-to-serve.
• At least 6 years of managerial experience leading people, plus experience explaining semantic layers and knowledge graphs to senior stakeholders, leading sales or pre-sales, delivering data transformation programs, and developing teams.
• Bachelor’s degree or equivalent, with 12 years of working experience accepted as an alternative.
• Applicants for employment in the U.S. must have work authorization that does not now or in the future require visa sponsorship.
• Current employees of an hirify.global client or affiliated hirify.global business may not be eligible.

Nice to have

• Experience with Salesforce Knowledge, ServiceNow Knowledge Management, eGain, Zendesk, or comparable service knowledge platforms.
• Experience establishing Knowledge-Centered Service or similar enterprise-scale knowledge management practices.
• GraphRAG or other knowledge-grounded retrieval for AI agents.
• NLP, search techniques, prompt engineering, and LLMs for enterprise-scale applications.
• 5+ years with AWS, Azure, or Google Cloud; 5+ years with Python and frameworks such as TensorFlow or PyTorch; and experience with Apache NiFi or Airflow.
• Broad ML and agentic-systems experience, external client-facing consulting experience, or a Ph.D. in a related technical field.

Culture & Benefits

• Full-time hybrid employment with medical, dental, vision, life, and long-term disability coverage.
• 401(k) plan, bonus opportunities, paid holidays, and paid time off.
• Inclusive environment focused on belonging, diversity, innovation, and professional growth.
• Opportunity to publish points of view, speak at events, and represent the practice in the broader AI community.
• Posting anticipated to remain open until January 31, 2027.