Collaborate with software engineers, DevOps teams, and knowledge management personnel to support repository operations. * Design, build, and maintain services and products to effectively make ...
Collaborate with software engineers, DevOps teams, and knowledge management personnel to support repository operations. * Design, build, and maintain services and products to effectively make ...
Agentic Delivery Engineer
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The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable ...
Agentic Delivery Engineer
Bellevue, WA · On-site
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Agentic Delivery Engineer
Huntsville, AL · On-site
The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable ...
Agentic Delivery Engineer
Huntsville, AL · On-site
The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable ...
The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable ...
The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable ...
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Tallahassee, FL · On-site
The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable ...
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Tallahassee, FL · On-site
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Fort Worth, TX · On-site
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Agentic Delivery Engineer
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Tempe, AZ · On-site
The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable ...
Agentic Delivery Engineer
Tempe, AZ · On-site
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Dallas, TX · On-site
The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable ...
Agentic Delivery Engineer
Dallas, TX · On-site
The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable ...
Agentic Delivery Engineer
San Antonio, TX · On-site
The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable ...
Agentic Delivery Engineer
San Antonio, TX · On-site
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Agentic Delivery Engineer
San Jose, CA · On-site
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San Jose, CA · On-site
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Strategic Engineer
Shippingport, PA · On-site
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Strategic Engineer
Shippingport, PA · On-site
Job Summary This position is responsible for planning and performing engineering duties as assigned, working independently. Reviewing, modifying and approving project specifications of the most ...
Collaborate with software engineers, DevOps teams, and knowledge management personnel to support repository operations. * Design, build, and maintain services and products to effectively make ...
Collaborate with software engineers, DevOps teams, and knowledge management personnel to support repository operations. * Design, build, and maintain services and products to effectively make ...
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Agentic Delivery Engineer
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Tampa, FL · On-site
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Image Generator (Engineer Software 3) - 27911
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Compute Optimization Researcher/Engineer
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Raleigh, NC · On-site
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Agentic Delivery Engineer
Raleigh, NC · On-site
The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable ...
The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable ...
The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable ...
Knowledge Engineer information
See salary details
$22.12 - $26.77
15% of jobs
$26.77 - $31.42
1% of jobs
$31.42 - $36.08
4% of jobs
$36.80 is the 25th percentile. Wages below this are outliers.
$36.08 - $40.73
31% of jobs
$40.73 - $45.39
4% of jobs
$45.39 - $50.04
2% of jobs
$50.04 - $54.70
2% of jobs
$57.63 is the 75th percentile. Wages above this are outliers.
$54.70 - $59.35
24% of jobs
$59.35 - $64.01
5% of jobs
$64.01 - $68.66
2% of jobs
$68.66 - $73.32
9% of jobs
$22
$47
$73
How much do knowledge engineer jobs pay per hour?
What Is a Knowledge Engineer?
A knowledge engineer works with data and computer systems with the goal of making the technology imitate human thought processes to solve problems that typically require expertise. Working in a sector of artificial intelligence within the information technology field, a knowledge engineer looks at everyday processes and determines what course of thought a human takes to make a decision or begin an activity. They then create computer systems reliant on this extensive data to guide a machine to simulate human cognition and problem-solving. The data validation process is a vital aspect of a knowledge engineer’s job. They must gather an accurate understanding of the tasks at hand and ensure that the data meets specific standards.
What are the key skills and qualifications needed to thrive as a Knowledge Engineer, and why are they important?
What are some common challenges Knowledge Engineers face when collaborating with subject matter experts (SMEs)?
What are Knowledge Engineers?
What is the difference between Knowledge Engineer vs Data Scientist?
| Aspect | Knowledge Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, AI, or related fields; knowledge of ontologies and knowledge bases | Bachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis |
| Work Environment | Typically in AI development teams, focusing on knowledge systems and expert systems | Often in analytics teams, working with large datasets and predictive modeling |
| Employer & Industry Usage | Used in AI, robotics, and enterprise knowledge management | Common in tech, finance, healthcare, and marketing sectors |
While both roles involve working with data and information, Knowledge Engineers focus on structuring and encoding knowledge for AI systems, whereas Data Scientists analyze data to extract insights and build predictive models. Their skills and tools differ, but both are essential in data-driven industries.

Leidos rating
8.4
Based on 146 frontline employees who took The Breakroom Quiz
57th of 425 rated business services
Job description
In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement-helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success.
This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes.
Primary Responsibilities:
- Administer and maintain code and documentation repositories (e.g., Git-based platforms, artifact repositories, or knowledge repositories).
- Develop, deliver, and maintain appropriate Configuration Management Database (CMDB) technology as part of an enterprise level site reliability planning and execution.
- Support repository configuration, access control, and permission management.
- Ensure proper organization, version control, and structure of repository content.
- Assist users with repository access, usage, and troubleshooting issues.
- Support integration of repositories with DevSecOps pipelines and development workflows .
- Maintain repository documentation, standards, and usage guidelines.
- Monitor repository usage and identify opportunities for improvement in structure and performance.
- Support configuration management activities, including version tracking and baseline management.
- Assist in enforcing compliance with program standards, naming conventions, and governance policies.
- Support backup, recovery, and archival processes for repository data.
- Collaborate with software engineers, DevOps teams, and knowledge management personnel to support repository operations.
- Design, build, and maintain services and products to effectively make production-ready AI/ML models accessible for customer use.
- Perform site reliability engineering to build and maintain a reliable, scalable, and efficient System by applying software engineering principles to operational tasks.
- Participate in SAFe ceremonies including sprint planning, backlog refinement, sprint reviews, and retrospectives as needed.
Basic Qualifications:
- Active TS/SCI clearance.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related technical discipline and 4-8 years of relevant experience OR Master's degree in a related field and 2-6 years of relevant experience.
- Experience working with version control systems (e.g., Git, GitLab, GitHub, Bitbucket).
- Experience supporting repository management, configuration, or system administration tasks.
- Experience with basic scripting or automation (e.g., Bash, Python, or similar).
- Experience operating within SAFe or large-scale Agile frameworks supporting enterprise systems.
- Strong organizational and documentation skills.
- Strong analytical and problem-solving skills.
- Ability to support multiple users and manage competing priorities.
Preferred Qualifications:
- Experience integrating repository platforms into CI/CD and DevSecOps pipelines.
- Experience supporting repositories across multi-enclave DoD environments.
- Familiarity with artifact repositories (e.g., Nexus, Artifactory) or data repositories.
- Experience supporting DevSecOps pipelines and CI/CD integrations.
- Experience with configuration management tools and practices.
- Experience supporting knowledge management or documentation platforms.
- SAFe Agilist (SA) or related SAFe certification.
- Relevant cloud certification (AWS, Azure, or GCP).
- Experience with site reliability engineering and performance optimization.
- Experience supporting automated compliance, continuous monitoring, and vulnerability remediation workflows.
#ADVANA
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
May 8, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $87,100.00 - $157,450.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
About Leidos
Sourced by ZipRecruiter
At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.
Industry
It services
Company size
10,000+ Employees
Headquarters location
Reston, VA, US