Contribute reusable assets including code, prompt libraries, runbooks, and reference ... Assistants API, Responses API, OpenAI Agents SDK * 1+ years of experience leading project ...
Contribute reusable assets including code, prompt libraries, runbooks, and reference ... Assistants API, Responses API, OpenAI Agents SDK * 1+ years of experience leading project ...
Counter Sales Representative
Raleigh, NC · On-site
$17 - $21.25/hr
Other duties may be assigned. * Assist in the creation and implementation of events, public ... Maintains and updates Marketing Library including sales presentations, proposal templates, vendor ...
Counter Sales Representative
Raleigh, NC · On-site
$17 - $21.25/hr
Other duties may be assigned. * Assist in the creation and implementation of events, public ... Maintains and updates Marketing Library including sales presentations, proposal templates, vendor ...
Counter Sales Representative
$17 - $21.25/hr
Other duties may be assigned. * Assist in the creation and implementation of events, public ... Maintains and updates Marketing Library including sales presentations, proposal templates, vendor ...
Counter Sales Representative
$17 - $21.25/hr
Other duties may be assigned. * Assist in the creation and implementation of events, public ... Maintains and updates Marketing Library including sales presentations, proposal templates, vendor ...
Assistant Reference Librarian information
See Raleigh, NC salary details
$9.81 - $13.68
9% of jobs
$13.68 - $17.55
14% of jobs
$17.87 is the 25th percentile. Wages below this are outliers.
$17.55 - $21.41
22% of jobs
The median wage is $22.38 / hr.
$21.41 - $25.28
19% of jobs
$27.36 is the 75th percentile. Wages above this are outliers.
$25.28 - $29.15
20% of jobs
$29.15 - $33.01
7% of jobs
$33.01 - $36.88
5% of jobs
$36.88 - $40.74
2% of jobs
$40.74 - $44.61
0% of jobs
$44.61 - $48.48
0% of jobs
$48.48 - $52.34
1% of jobs
$9
$25
$52
How much do assistant reference librarian jobs pay per hour?
As of Jul 24, 2026, the average hourly pay for assistant reference librarian in Raleigh, NC is $25.78, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $28.51 per hour, depending on experience, location, and employer.
What is the difference between Assistant Reference Librarian vs Reference Librarian?
| Aspect | Assistant Reference Librarian | Reference Librarian |
|---|---|---|
| Required Credentials | Master's degree in Library Science (MLS or MLIS) | Master's degree in Library Science (MLS or MLIS) |
| Work Environment | Public, academic, or special libraries assisting patrons with research | Public, academic, or special libraries providing reference services and research support |
| Job Responsibilities | Supporting reference services, helping patrons locate resources, and assisting with research | Leading reference services, conducting research consultations, and managing information resources |
The main difference is that Assistant Reference Librarians typically support reference services and assist patrons under supervision, while Reference Librarians often take on more independent roles, managing complex research inquiries and leading reference activities. Both roles require a Master's in Library Science and are common in similar library settings.
What are Assistant Reference Librarians?
Assistant Reference Librarians are library professionals who help patrons locate information, conduct research, and use library resources effectively. They support reference librarians by answering questions, providing guidance on using catalogs and databases, and assisting with research projects. Their duties often include organizing materials, teaching users about library technology, and sometimes planning educational programs. They play a key role in ensuring that library visitors have a positive and productive experience.
How does an Assistant Reference Librarian typically collaborate with other library staff to support patrons?
Assistant Reference Librarians work closely with librarians, circulation staff, and technical services teams to ensure patrons receive comprehensive support. They often coordinate to locate resources, develop instructional materials, and assist with research queries. Regular communication and teamwork help maintain seamless service, especially during busy periods or when handling complex information requests. This collaboration not only enhances the patron experience but also provides valuable opportunities for learning and professional development within the library system.
What are the key skills and qualifications needed to thrive as an Assistant Reference Librarian, and why are they important?
To thrive as an Assistant Reference Librarian, you need a solid understanding of research methods, information retrieval, and a degree in library science or a related field. Familiarity with library management systems, online databases, and digital cataloging tools is typically required. Excellent communication, problem-solving, and customer service skills help you effectively assist patrons and collaborate with colleagues. These competencies ensure efficient access to information, high-quality patron support, and the smooth operation of library services.
What are the most commonly searched types of Reference Librarian jobs in Raleigh, NC? The most popular types of Reference Librarian jobs in Raleigh, NC are:
What are popular job titles related to Assistant Reference Librarian jobs in Raleigh, NC? For Assistant Reference Librarian jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Assistant Reference Librarian jobs in Raleigh, NC look for? The top searched job categories for Assistant Reference Librarian jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Assistant Reference Librarian jobs? Cities near Raleigh, NC with the most Assistant Reference Librarian job openings:
Deloitte rating
8.1
Based on 90 frontline employees who took The Breakroom Quiz
58th of 150 rated financial services
Job description
At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.
Recruiting for this role ends on 10/30/2026.
Work you'll do
As a Frontier GenAI FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:
Client Engagement
- Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
- Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
- Lead working sessions to shape solutions and drive client outcomes.
- Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
- Contribute independently within an FDE pod while mentoring newer team members.
Solution Engineering
- Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
- Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
- Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
- Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
- Design extensible functionality, support sprint sizing, and align solutions with senior team members.
- Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.
The team
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Required qualifications
- Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
- 3+ years of experience in software engineering, data engineering, data science, or analytics engineering.
- 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
- 1+ years of experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
- 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
- 1+ years of experience building reliable, maintainable, and well-documented code
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred qualifications
- Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
- Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
- Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
- Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
- Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
- Experience operating within hybrid onshore/offshore teams
- Familiarity with security, privacy, and compliance considerations
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.
Recruiting for this role ends on 10/30/2026.
Work you'll do
As a Frontier GenAI FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:
Client Engagement
- Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
- Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
- Lead working sessions to shape solutions and drive client outcomes.
- Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
- Contribute independently within an FDE pod while mentoring newer team members.
Solution Engineering
- Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
- Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
- Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
- Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
- Design extensible functionality, support sprint sizing, and align solutions with senior team members.
- Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.
The team
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Required qualifications
- Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
- 3+ years of experience in software engineering, data engineering, data science, or analytics engineering.
- 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
- 1+ years of experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
- 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
- 1+ years of experience building reliable, maintainable, and well-documented code
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred qualifications
- Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
- Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
- Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
- Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
- Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
- Experience operating within hybrid onshore/offshore teams
- Familiarity with security, privacy, and compliance considerations
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.