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Knowledge Engineering Jobs in Indiana (NOW HIRING)

Knowledge of project coordination, engineering standards, and technical documentation. * Proficiency in AutoCAD and Microsoft Office. * Strong communication, organization, and problem-solving skills.

You will serve as an Engineering Technician (Construction) in the Public Works Department of of ... Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable ...

Director, Engineering Position Summary: * 100% on-site Greendale is one of two gummy technology ... Knowledge/Skills Requirements: Combustible Dust and Wastewater Management experience preferred.

SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately ...

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Knowledge Engineering information

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 domain data, create ontologies, and implement knowledge bases using tools like logic programming and semantic technologies. Strong analytical skills and understanding of data modeling 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 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.

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 also require proficiency with tools like ontologies, semantic web technologies, and knowledge representation languages.

What are the key skills and qualifications needed to thrive as a knowledge engineer?

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 are popular job titles related to Knowledge Engineering jobs in Indiana? For Knowledge Engineering jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Knowledge Engineering jobs in Indiana look for? The top searched job categories for Knowledge Engineering jobs in Indiana are:
What cities in Indiana are hiring for Knowledge Engineering jobs? Cities in Indiana with the most Knowledge Engineering job openings:
Infographic showing various Knowledge Engineering job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

$80K - $115K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 8 days ago


Job description

Title: Project Engineer

Location: Peru, IN (Relocation available)

Overview:
Sterling has helped build careers for thousands for professionals like yourself. Our expert recruiters support you at every step in the process and as a Best of Staffing company, Sterling provides exciting work with exceptional employers across the U.S.

Hire Type: Direct Hire
Benefits: Medical, Dental, Vision
Bonus/ Incentives/ Stock Options: 401k and annual bonus potential
Pay: $80,000-115,000 (depending on experience)

Job Summary:
  • We are seeking a Project Engineer to support capital and continuous improvement initiatives within a manufacturing environment. This role is responsible for developing engineering designs, supporting project execution, coordinating with vendors, and ensuring projects are completed on time, within scope, and within budget. The position collaborates cross-functionally with operations, engineering, and external partners to drive successful project outcomes and maintain compliance with applicable standards.

Job Duties:
  • Develop preliminary engineering designs, layouts, specifications, and cost estimates.
  • Conduct feasibility studies and support project planning activities.
  • Coordinate with equipment vendors, contractors, and internal stakeholders on installation and execution.
  • Review technical drawings and ensure compliance with engineering standards.
  • Prepare scopes of work, evaluate proposals, and support bid and contract documentation.
  • Track project schedules, budgets, and progress; provide regular status updates.
  • Perform field verification and update as-built documentation as needed.
  • Travel up to 50% to support project implementation across multiple sites.

Qualifications:
  • Bachelor’s degree in Engineering or related technical field, or equivalent experience.
  • Experience supporting engineering or capital projects in a manufacturing environment.
  • Knowledge of project coordination, engineering standards, and technical documentation.
  • Proficiency in AutoCAD and Microsoft Office.
  • Strong communication, organization, and problem-solving skills.


Qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information.