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Learning Integration Specialist Jobs (NOW HIRING)

ASM Research

AI Integration Specialist

Washington, DC · On-site

The AI Integration Specialist is a pivotal role bridging the gap between cutting-edge AI/ML ... This individual possesses a deep understanding of data science principles, machine learning model ...

ManTech

Technology Integration Specialist

Aiea, HI · On-site

$85K - $141K/yr

MANTECH seeks a driven and organized Technology Integration Specialist to join our team in Oahu, HI ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

OWT Global, LLC

Position Overview OWT Global LLC is seeking one (1) Curriculum Integration Specialist to ensure all training products, Programs of Instruction, and learning materials remain current, consistent, and ...

Cathay Bank

API Integration Specialist

Rosemead, CA · On-site

$37.02 - $43.27/hr

Eagerness for learning new tools, technologies, and integration patterns. * Familiarity with data formats such as JSON and XML. * Strong problem-solving mindset and eagerness to learn. * A passion ...

Elwyn

Community Integration Specialist

Glenolden, PA · On-site

$14.50 - $19/hr

The Community Integration Specialist (CIS) assists, transports, and supervises students who ... Utilize knowledge of child development, autism, developmental disabilities and learning styles by ...

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Learning Integration Specialist information

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$33K

$91.6K

$143.5K

How much do learning integration specialist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for learning integration specialist in the United States is $91,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $121,000.00 per year, depending on experience, location, and employer.

What cities are hiring for Learning Integration Specialist jobs?

Cities with the most Learning Integration Specialist job openings:

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Infographic showing various Learning Integration Specialist job openings in the United States as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $91,617 per year, or $44 per hour.

AI Integration Specialist

Washington, DC • On-site

ASM Research
IT Services • 1 - 5K employees
Learn more about ASM Researchexternal

Full-time

Re-posted 13 days ago

ASM Research rating

8.9

Company rating: 8.9 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

Job description

The AI Integration Specialist is a pivotal role bridging the gap between cutting-edge AI/ML research and robust, scalable production systems. This individual possesses a deep understanding of data science principles, machine learning model development, and the engineering expertise required to seamlessly integrate AI solutions into existing enterprise applications and workflows. They will be responsible for ensuring that AI initiatives not only deliver accurate and insightful models but are also designed for operational efficiency, maintainability, and measurable business impact, particularly within the Department of Energy's critical missions.
  • Design, develop, and implement strategies for integrating trained AI/ML models (e.g., predictive analytics, natural language processing, computer vision) into various existing IT systems, operational platforms, and software applications within the DOE.
  • Work closely with data scientists to understand model requirements, performance characteristics, and potential integration challenges.
  • Collaborate with software engineers and DevOps teams to establish robust CI/CD pipelines for AI/ML models, ensuring automated testing, deployment, and monitoring.
  • Develop APIs and microservices to expose AI model functionality for consumption by other applications and services.
  • Implement and manage MLOps (Machine Learning Operations) best practices, including model versioning, lineage tracking, performance monitoring, drift detection, and retraining strategies.
  • Establish monitoring dashboards and alerting systems to proactively identify and address issues related to model performance, data quality, and system health.
  • Act as a key liaison between data science teams and engineering/IT teams, translating complex data science concepts and model requirements into actionable engineering tasks.
  • Provide technical guidance to data scientists on model design for production readiness, including considerations for efficiency, latency, and resource utilization.
  • Participate in data exploration, feature engineering, and model experimentation processes to ensure data quality and model interpretability from an integration perspective.
  • Contribute to the architectural design of AI-enabled systems, advocating for scalable, secure, and resilient solutions.
  • Research and evaluate new technologies, frameworks, and tools for AI integration, deployment, and MLOps.
  • Develop and enforce coding standards, documentation practices, and best practices for AI/ML system development.
  • Communicate technical complexities and integration progress effectively to both technical and non-technical stakeholders, including senior leadership.
  • Develop training materials and conduct demos for internal teams on AI integration tools, processes, and best practices.

Minimum Qualifications
  • Bachelor's or Master's degree in computer science, Data Science, Artificial Intelligence, Electrical Engineering, or a related quantitative field.
  • 12+ years of experience in a technical field with 5 years of experience in software engineering, data engineering, or MLOps, with a strong focus on deploying and integrating AI/ML models.
  • Experience working with large datasets, distributed computing, and cloud platforms (e.g., Azure, AWS, GCP).

Other Job Specific Skills
  • Strong proficiency in Python is essential; experience with Java, Scala, or Go is a plus.
  • Experience with MLOps platforms and tools.
  • Solid understanding of databases (SQL, NoSQL), data warehousing concepts, and data streaming technologies.
  • Experience with cloud-native services for compute, storage, and AI/ML (e.g., Azure Machine Learning, AWS SageMaker, Google Cloud AI Platform).
  • Experience designing and implementing RESTful APIs for AI services.
  • Strong understanding of software development best practices, including version control (Git), testing, and code review.
  • Excellent problem-solving and analytical skills.
  • Strong communication and interpersonal skills, with the ability to bridge technical and business gaps.

Preferred Skills
  • Experience working within a government agency or highly regulated industry.
  • Familiarity with specific DOE-relevant domains (e.g., energy systems, national security, scientific computing).
  • Experience with real-time AI inference and low-latency systems.
  • Certifications in cloud computing (e.g., Azure AI Engineer, AWS Machine Learning Specialty).

Compensation Ranges
Compensation ranges for ASM Research positions vary depending on multiple factors; including but not limited to, location, skill set, level of education, certifications, client requirements, contract-specific affordability, government clearance and investigation level, and years of experience. The compensation displayed for this role is a general guideline based on these factors and is unique to each role. Monetary compensation is one component of ASM's overall compensation and benefits package for employees.
EEO Requirements
It is the policy of ASM that an individual's race, color, religion, sex, disability, age, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies.
All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, disability, or age. All decisions on employment are made to abide by the principle of equal employment.
Physical Requirements
The physical requirements described in "Knowledge, Skills and Abilities" above are representative of those which must be met by an employee to successfully perform the primary functions of this job. (For example, "light office duties' or "lifting up to 50 pounds" or "some travel" required.) Reasonable accommodations may be made to enable individuals with qualifying disabilities, who are otherwise qualified, to perform the primary functions.
Disclaimer
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

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