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Knowledge Engineering Jobs in Rochester, NH (NOW HIRING)

Required to have some practical knowledge of science or engineering. May require a practical knowledge of mathematics or computer science. This position will assist with the review of Technical Work ...

Required to have some practical knowledge of science or engineering. May require a practical knowledge of mathematics or computer science. This position will assist with the review of Technical Work ...

Engineering Technician Dover, NH Summary / Objective: This team provides support in the areas of ... Knowledge of submarine equipment and systems (a plus). * Strong analytical and problem-solving ...

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Knowledge Engineering information

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$56

How much do knowledge engineering jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for knowledge engineering in Rochester, NH is $30.88, according to ZipRecruiter salary data. Most workers in this role earn between $19.76 and $37.16 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.
What job categories do people searching Knowledge Engineering jobs in Rochester, NH look for? The top searched job categories for Knowledge Engineering jobs in Rochester, NH are:

Full-time

Re-posted 7 days ago


Job description

Description

Engineering Manager - USRM Third Party Data 

US Retail Markets (USRM) Technology | Innovation Enablement 

About the role 

US Retail Markets (USRM) Technology - Innovation Enablement is seeking a passionate Engineering Manager to lead teams within our Third-Party Data portfolio. This is a highly visible role responsible for building, modernizing, and operating data ingestion and platform capabilities that enable critical business outcomes across USRM. 

In this role, you will lead engineering teams responsible for delivering scalable, reliable, and secure third-party data services consumed across Property, Auto, and Small Commercial domains. You will partner closely with Product, Architecture, and peer Engineering Managers to shape roadmaps, drive execution, and continuously raise the bar on engineering excellence. This role plays a key part in enabling Frontier - One Auto / One Property, ensuring external data is consistently ingested, enriched, and delivered through shared platforms that support unified customer and policy experiences across lines of business. 

What you'll do 

  • Lead, coach, and develop high performing engineering teams delivering thirdparty data ingestion, enrichment, and distribution capabilities 

  • Own delivery outcomes across multiple squads, ensuring commitments to quality, reliability, security, and predictability are met 

  • Partner with Product Owners, Architects, and business stakeholders to translate business needs into actionable technology roadmaps 

  • Drive alignment to engineering standards, platform consistency, and modern design patterns across the Third-Party Data portfolio 

  • Proactively manage delivery risks, technical debt, and cross team dependencies in a complex, highly integrated environment 

  • Foster a strong engineering culture grounded in accountability, continuous improvement, and operational excellence 

  • Participate in talent planning, hiring, coaching, and performance management for engineers and senior individual contributors 

What you bring 

  • Strong experience leading software engineering teams and delivering complex, data intensive platforms or services 

  • Ability to balance near-term delivery needs with longerterm platform modernization and technical strategy 

  • Experience working effectively in large, matrixed organizations with multiple stakeholders and dependencies 

  • Knowledgeable in modern software engineering languages and tools, including Java, Spring, AWS, Kubernetes, and TypeScript 

  • Proven ability to coach engineers, grow talent, and cultivate a culture of ownership and continuous learning 

Why this role matters 

Third Party Data is a foundational capability across USRM. In this role, you'll directly influence how external data is integrated, standardized, and delivered at scale, helping teams move faster while reducing duplication, operational risk, and long-term complexity. 

Qualifications
  • Knowledge of technology concepts, strategies and methodologies typically acquired through a Bachelor`s or Master`s Degree in technical or business discipline and a minimum of five years' experience in a practice relevant domain including delivering software solutions in an agile environment.
  • 3 years in a leadership role preferred.
  • Able to manage complex technology development concepts, capabilities and maturity.
  • Requires excellent analytical ability, consultative, communication, presentation and management skills, strong judgment and ability to effectively liaise with cross functional stakeholders and optimize teams.
  • Demonstrated ability to operate collaboratively and build consensus. In-depth knowledge of technology standards and guidelines; knowledge of management concepts, practices and techniques; thorough knowledge of business functions and operations, objectives and strategies.

Employees may apply for a new role after completing 12 months of employment in their current position.

Employees should review all role requirements and apply only for positions for which they are eligible. Hiring processes may vary by country, including differences in procedures, requirements, and timelines.  For country-specific details, please consult your local recruiting / HR team.

About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefitsLiberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.Fair Chance Notices

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco
Employment Type: FULL_TIME