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Knowledge Engineering Jobs (NOW HIRING)

IHG Hotels & Resorts

VP, AI Knowledge Engineering

Atlanta, GA · On-site

$176K - $227K/yr

The Role The Vice President, AI Knowledge Engineering will lead the design and delivery of the knowledge substrate on which every AI product in the enterprise depends - the ontologies that define our ...

Associated Bank - Corp

Knowledge Engineer

Omaha, NE · On-site

Role Summary As a Knowledge Engineer, you'll help build the foundation that enables data to be ... Partner with data architecture, engineering, governance, AI, and business teams to translate ...

New

Associatedbank

Knowledge Engineer

North East, PA · On-site

Role Summary As a Knowledge Engineer, you'll help build the foundation that enables data to be ... Partner with data architecture, engineering, governance, AI, and business teams to translate ...

New

Associated Bank - Corp

Knowledge Engineer

Chicago, IL · On-site

Role Summary As a Knowledge Engineer, you'll help build the foundation that enables data to be ... Partner with data architecture, engineering, governance, AI, and business teams to translate ...

New

Litera

Your day-to-day As a Legal Knowledge Engineering Associate, you will be responsible for working on one or more of our legal software products. As part of this, you will be our legal tech products to ...

Infosys Limited Digital

About the Role As a Principal - Knowledge Engineering and Decision Systems, you will operate at the intersection of formal knowledge representation, rules engine design, and AI-assisted compliance ...

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How much do knowledge engineering jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for knowledge engineering in the United States is $31.55, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $37.98 per hour, depending on experience, location, and employer.

What does a knowledge engineer do?

A knowledge engineer designs, develops, and maintains systems that capture and organize knowledge for artificial intelligence and expert systems. They analyze information, create ontologies, and use tools like knowledge bases and reasoning algorithms to enable machines to simulate human decision-making. Strong skills in logic, data modeling, and programming are essential for this role.

What is knowledge engineering?

Knowledge engineering is a field within artificial intelligence that focuses on creating systems capable of simulating human decision-making and reasoning. It involves gathering, organizing, and structuring information so that computers can use it to solve complex problems. Knowledge engineers work to build knowledge bases and rule-based systems, often collaborating with domain experts to codify expertise into a form that machines can process. This discipline is fundamental in the development of expert systems, intelligent agents, and modern AI applications.

What engineers make $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or systems architecture can earn $500,000 or more annually, especially in senior or executive roles at large technology companies. These positions often require advanced skills, certifications, and extensive industry experience, and may include bonuses and stock options that contribute to total compensation.

What is the difference between Knowledge Engineering vs Data Scientist?

AspectKnowledge EngineeringData Scientist
Required CredentialsTypically degrees in computer science, AI, or related fields; certifications in knowledge systemsDegrees in statistics, computer science, or mathematics; certifications in data analysis or machine learning
Work EnvironmentDeveloping knowledge bases, expert systems, and AI applications in tech or research settingsAnalyzing data, building predictive models, and deriving insights in various industries
Employer & Industry UsageUsed in AI development, research institutions, and tech companiesUsed across finance, healthcare, marketing, and tech sectors

While both roles involve working with data and AI, Knowledge Engineers focus on creating structured knowledge bases and expert systems, whereas Data Scientists analyze data to extract insights and build predictive models. Understanding these differences helps in choosing the right career path or job focus.

How does a Knowledge Engineer typically collaborate with subject matter experts during a project?

Knowledge Engineers frequently work closely with subject matter experts (SMEs) to extract, structure, and formalize domain knowledge into usable formats for AI systems or knowledge bases. This collaboration often involves conducting interviews, facilitating workshops, and reviewing documentation to ensure complex concepts are accurately captured. Effective communication and iterative feedback are key, as Knowledge Engineers must bridge the gap between technical requirements and expert insights. This teamwork helps ensure that the resulting system is both technically sound and aligned with real-world practices.

What engineers make 200,000 a year?

Senior knowledge engineers, especially those with expertise in artificial intelligence, machine learning, and data science, can earn $200,000 or more annually. High salaries are often associated with extensive experience, advanced certifications, and working in industries like technology, finance, or consulting, typically in roles involving complex problem-solving and specialized tools.

How much does a knowledge engineer make?

A knowledge engineer's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI, machine learning, or data management can earn higher salaries. Many positions require proficiency with knowledge representation, ontologies, and tools like Protégé or OWL.

What are the key skills and qualifications needed to thrive as a Knowledge Engineer, and why are they important?

To thrive as a Knowledge Engineer, you need a strong background in computer science, logic, and data modeling, often supported by a relevant degree. Familiarity with knowledge representation systems, ontologies, semantic web technologies, and tools like Protégé is typically required, along with experience in programming languages such as Python or Java. Strong analytical thinking, problem-solving abilities, and clear communication skills help you collaborate with subject matter experts and translate complex information into structured formats. These skills are critical for building effective knowledge-based systems that drive intelligent decision-making and organizational efficiency.
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Knowledge Engineering jobs near you
VP, AI Knowledge Engineering

VP, AI Knowledge Engineering

IHG Hotels & Resorts

Atlanta, GA • On-site

$176K - $227K/yr

Full-time

Posted 20 days ago

IHG rating

5.8

Company rating: 5.8 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

65th of 106 rated hotels

Job description


The Role
The Vice President, AI Knowledge Engineering will lead the design and delivery of the knowledge substrate on which every AI product in the enterprise depends - the ontologies that define our entities, the graph that connects them, the metadata that makes them discoverable, and the interfaces that make them safely accessible to agents. This is a build-and-transform mandate within the office of the SVP, AI & Engineering, with full ownership of the architecture and a multi-year horizon to get it right.
Your Day-to-Day
  • Enterprise Ontology & Semantic Layer: Define and govern the shared vocabulary of the enterprise - so every system, every model, and every agent shares one definition of guest, property, stay, and transaction. This is the foundational artefact of knowledge engineering.
  • Connected Knowledge Graph: Move from rows-and-tables to a relationship-first intelligence layer that links guest signals, property attributes, loyalty behavior, and operational events into a traversable graph that AI agents can reason over.
  • Agent-Discoverable Metadata: Tag the data estate with machine-readable ontologies, lineage, freshness indicators, and access classifications so AI systems can self-discover and trust enterprise data without human intermediation.
  • MCP Servers & Agent APIs: Stand up the Model Context Protocol layer and governed APIs through which internal and partnered AI agents query knowledge, trigger actions, and operate with full audit and policy control.
  • Real-Time Knowledge Movement: Replace batch dependencies with event-driven pipelines so the knowledge graph and every downstream AI consumer operate on current reality, not yesterday's snapshot.

What We Need from You
  • Twelve or more years in knowledge engineering, enterprise data, or applied-AI platform leadership, with at least five years owning end-to-end delivery at scale.
  • Demonstrable experience designing and operating one or more of: enterprise ontologies, semantic layers, production knowledge graphs, or real-time data infrastructure - in a global or hyperscale operating environment.
  • Working fluency with the agentic-AI stack: model context interfaces, retrieval architectures, vector and graph stores, and the governance patterns that make them safe at enterprise scale.
  • Track record of leading large engineering and data organizations, including hiring, levelling, and developing senior technical talent.
  • Comfort operating with executive stakeholders - board, audit committee, regulators, owners, and franchise partners - on data, privacy, and AI risk.
  • The role owns five interconnected capabilities, delivered sequentially in year one and operated in parallel thereafter.

Preferred Experience
  • Public-company exposure: comfortable with disclosure discipline, segment reporting implications, and the cadence of investor communication.
  • Background in hospitality, travel, retail, or another consumer-scale industry where customer identity and real-time operational signals are core to competitive advantage.
  • Experience leading a transition from legacy batch and warehouse models toward streaming, graph, and agent-accessible architectures.
  • Direct experience designing or contributing to industry-level data standards, partnerships with hyperscalers, or external developer ecosystems.

Location - Atlanta, GA, preferred. Our hybrid work structure is an expectation of three (3) days a week in office. This expectation may be adjusted to evolve with the changing needs of the business.
#LI-PF1
About Us
At IHG, we've made a promise. As one of the world's leading hotel groups, we're here to deliver True Hospitality for Good. Making our guests and colleagues feel welcome, cared for, recognised and respected - wherever they are in the world. Want to be part of the journey?
About the Team
Who we are
At IHG Hotels & Resorts, we work together to deliver True Hospitality for Good on a global scale. With corporate offices and over 6,000 hotel destinations worldwide, a career at IHG is the perfect way to broaden your horizons. You'll experience our unique culture and brilliant colleagues who will support and inspire you. With a host of corporate opportunities to choose from, wherever you are on your career journey, and whatever you want to achieve there's Room for You at IHG.
Over recent years, we've transformed our company. We have bold ambitions to drive performance and maintain our relentless focus on growth in order to be the hotel company of choice that guests & owners love.
We are a hospitality business at our core and value connections and being together helps us foster a unique sense of belonging that also supports productivity. That's why here at IHG, we give our colleagues flexibility and balance - working in a hybrid way, blending office and remote working collectively. We recognise that every role is different, that's why leaders work with teams to determine how and when they collaborate.
We provide a wide range of benefits designed to help you live your best work life. These include impressive room discounts across our many properties, recharge days and volunteering days throughout the year. Through our myWellbeing framework, we are committed to supporting wellbeing in your health, lifestyle, and workplace. We offer a unique and inclusive culture, where there is always Room for You to belong, grow and make a difference.
Our mission is to welcome everyone and create inclusive teams where we celebrate difference and encourage colleagues to bring their whole selves to work. IHG Hotels & Resorts provides equal employment opportunities to applicants and employees without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other category protected by applicable laws. We promote a culture of trust, support, and acceptance. Always welcoming different backgrounds, experiences, and perspectives.

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About IHG Hotels & Resorts

Sourced by ZipRecruiter

Staybridge Suites is an extended stay hotel, offering elevated residential style-studios and suites, complimentary daily breakfast buffet, complimentary light bites & happy hour 3 days a week, and ample amenities to accommodate both short term and extended-stay guests. We know that being on the road means balancing work with family and friends, so we go out of our way to make your stays enjoyable while keeping you connected to what matters most.

Industry

Hospitality services

Company size

11 - 50 Employees

Headquarters location

Chandler, AZ, US

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