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Artificial Intelligence Librarian Jobs (NOW HIRING)

Delivers basic and advanced library instruction to new lawyers, legal support staff members and ... Evaluates, uses, and promotes responsible application of artificial intelligence tools to improve ...

New

Delivers basic and advanced library instruction to new lawyers, legal support staff members and ... Evaluates, uses, and promotes responsible application of artificial intelligence tools to improve ...

New

Delivers basic and advanced library instruction to new lawyers, legal support staff members and ... Evaluates, uses, and promotes responsible application of artificial intelligence tools to improve ...

New

Delivers basic and advanced library instruction to new lawyers, legal support staff members and ... Evaluates, uses, and promotes responsible application of artificial intelligence tools to improve ...

New

Artificial Intelligence (AI) Engineer

Boston, MA · On-site

$105K - $145K/yr

About the Role The Artificial Intelligence Engineer is responsible for developing and implementing ... learning libraries and frameworks such as TensorFlow or PyTorch, • Experience building ...

Participate in the development of innovative library services (research impact analysis, data visualization, systematic reviews, machine learning, artificial intelligence, and other potential new ...

Showing results 21-40

Artificial Intelligence Librarian information

See salary details

$31K

$65.2K

$102.5K

How much do artificial intelligence librarian jobs pay per year?

As of Aug 9, 2026, the average yearly pay for artificial intelligence librarian in the United States is $65,193.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $75,000.00 per year, depending on experience, location, and employer.

What is the difference between Artificial Intelligence Librarian vs Data Scientist?

AspectArtificial Intelligence LibrarianData Scientist
Required CredentialsMaster's in Library Science or related field, knowledge of AI toolsDegree in Computer Science, Statistics, or related field, certifications in data analysis
Work EnvironmentLibraries, research institutions, academic settingsTech companies, finance, healthcare, research labs
Employer & Industry UsageEducational institutions, research organizationsBusiness, tech, healthcare sectors
Common Search & ComparisonFocuses on managing AI resources and information curationFocuses on analyzing data to derive insights

The Artificial Intelligence Librarian primarily manages AI-related information resources within libraries and research settings, emphasizing information curation and access. In contrast, Data Scientists analyze large datasets to extract actionable insights. While both roles require technical knowledge, their work environments and core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as an artificial intelligence librarian, and why are they important?

To thrive as an Artificial Intelligence Librarian, you need expertise in library science, information management, and a strong understanding of AI technologies, typically supported by a master's degree in library science or information science. Familiarity with machine learning tools, data curation systems, and digital library platforms is essential, along with experience using metadata standards and AI-driven search systems. Strong analytical thinking, adaptability, and excellent communication skills help you bridge the gap between advanced technologies and user needs. These skills are crucial for effectively managing digital resources, enabling access to AI-driven information, and supporting research within evolving technological landscapes.

How does an artificial intelligence librarian typically collaborate with data scientists and researchers within an organization?

An Artificial Intelligence Librarian works closely with data scientists and researchers by curating, organizing, and managing large datasets and AI resources, ensuring they are easily discoverable and accessible. They often assist in developing metadata standards, data governance policies, and best practices for data sharing, which streamlines research workflows. Regular collaboration may include participating in cross-functional meetings, providing training on information retrieval tools, and supporting the ethical use of AI technologies, fostering a cohesive and productive research environment.

What is an artificial intelligence librarian?

Artificial Intelligence Librarians are professionals who manage, curate, and facilitate access to AI-related data, resources, and tools within libraries or information centers. They support researchers, students, and professionals by organizing AI datasets, guiding users on AI technologies, and ensuring ethical use of AI tools. These librarians often collaborate with IT specialists and educators to integrate AI systems into library services and to provide training on AI literacy. Their role is evolving as libraries increasingly adopt AI-driven solutions for cataloging, information retrieval, and user engagement.
More about Artificial Intelligence Librarian jobs
What cities are hiring for Artificial Intelligence Librarian jobs? Cities with the most Artificial Intelligence Librarian job openings:
What states have the most Artificial Intelligence Librarian jobs? States with the most job openings for Artificial Intelligence Librarian jobs include:
What job categories do people searching Artificial Intelligence Librarian jobs look for? The top searched job categories for Artificial Intelligence Librarian jobs are:
Infographic showing various Artificial Intelligence Librarian job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $65,193 per year, or $31.3 per hour.

Senior Security Engineer, Artificial Intelligence

Compunnel

Irving, TX • On-site

$109K - $150K/yr

Contractor

Posted 19 days ago


Job description

json
{
"JOB SUMMARY": "You design, build, and run security controls for artificial intelligence systems across the full lifecycle. You secure model development, training data, pipelines, APIs, and AI-enabled applications. You work with product, engineering, data science, and compliance teams to reduce exposure from model misuse, data leakage, supply chain threats, and adversarial attacks. You deliver measurable improvements in AI governance, detection, and incident response.",
"Key Responsibilities": [
"Secure the AI and ML lifecycle",
"Define security requirements for model development, training, evaluation, deployment, and monitoring",
"Threat model AI systems and AI features in products, including abuse cases and misuse scenarios",
"Establish secure-by-design patterns for model endpoints, prompts, RAG pipelines, and agent workflows",
"Validate controls for model access, rate limiting, tenant isolation, and secrets management",
"Protect data used by AI",
"Classify and control training data, fine-tuning data, prompts, and retrieved context",
"Implement guardrails for sensitive data exposure, including PII and PCI data",
"Define retention, deletion, and lineage requirements for AI datasets and outputs",
"Partner with Privacy and Legal on data handling, regulatory expectations, and third-party data use",
"Secure AI infrastructure and supply chain",
"Harden AI platforms, GPU and container workloads, model registries, and artifact stores",
"Assess risks in third-party models, libraries, embeddings, and model hosting services",
"Define integrity controls for model artifacts, evaluation sets, and pipeline automation",
"Build CI and CD checks for AI assets, including scanning, signing, and policy enforcement",
"Detection, monitoring, and response for AI threats",
"Build logging standards for model requests, responses, tool calls, and retrieval events",
"Create detections for prompt injection, data exfiltration attempts, model extraction signals, and anomalous usage",
"Develop incident response playbooks for AI events, including containment and rollback plans",
"Run security testing for AI features, including red teaming and structured adversarial testing",
"Governance and program delivery",
"Create practical AI security standards, patterns, and reference architectures",
"Define KPIs such as reduction in sensitive output leakage, time to detect misuse, and policy coverage",
"Lead risk reviews for new AI features and vendor assessments for AI services",
"Train engineering and data science teams on secure AI patterns and common attack paths"
],
"Required Qualifications": [
"Bachelor's degree in Cybersecurity, Artificial Intelligence, Computer Science, or related highly technical field",
"5+ years in security engineering, application security, cloud security, or detection engineering",
"Experience securing LLM-based applications, RAG systems, or agentic workflows",
"Familiarity with adversarial ML concepts, such as prompt injection, model inversion, and model extraction",
"Experience with one or more cloud platforms, AWS, Azure, or GCP",
"Experience with Kubernetes and container security",
"Hands-on experience with at least one programming language, Python preferred",
"Strong understanding of AI, LLMs, API security, identity, secrets management, and cloud controls",
"Experience building security controls into CI and CD pipelines",
"Proven ability to lead cross-functional security work with engineering and product teams",
"Effectively communicate complex technical concepts to both technical and non-technical stakeholders",
"Effectively communicate to leadership and know when to escalate with proactive, clear, data-driven insight, highlighting risks, roadblocks, and solutions",
"Proven leadership capabilities with the ability to influence and drive change"
],
"Preferred Qualifications": [
"Master's degree in Cybersecurity, Artificial Intelligence, Computer Science, or related highly technical field",
"AI/ML certifications (e.g., Microsoft Azure AI Engineer, AWS ML Specialty, GIAC Machine Learning Engineer, ISC2 Building AI Strategy)",
"Experience with security telemetry and detections in SIEM or EDR platforms"
]
}

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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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