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Assistant Reference Librarian Jobs in Wisconsin (NOW HIRING)

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Assistant Reference Librarian information

What is an assistant reference librarian?

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.

What skills and qualifications are needed to be an assistant reference librarian?

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.

How does an assistant reference librarian 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 is the difference between Assistant Reference Librarian vs Reference Librarian?

AspectAssistant Reference LibrarianReference Librarian
Required CredentialsMaster's degree in Library Science (MLS or MLIS)Master's degree in Library Science (MLS or MLIS)
Work EnvironmentPublic, academic, or special libraries assisting patrons with researchPublic, academic, or special libraries providing reference services and research support
Job ResponsibilitiesSupporting reference services, helping patrons locate resources, and assisting with researchLeading 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 the most commonly searched types of Reference Librarian jobs in Wisconsin?

The most popular types of Reference Librarian jobs in Wisconsin are:

What are popular job titles related to Assistant Reference Librarian jobs in Wisconsin?

For Assistant Reference Librarian jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Assistant Reference Librarian jobs in Wisconsin look for?

The top searched job categories for Assistant Reference Librarian jobs in Wisconsin are:

Senior Forward Deployed Engineer, ServiceNow

Deloitte

Milwaukee, WI • On-site

$120K - $159K/yr

Full-time

Posted 26 days ago


Key responsibilities

  • Work side by side with client teams to prototype and deliver high-impact GenAI-enabled solutions.

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.

  • Engage with clients to identify business needs, translate use cases into solutions, and support long-term engagement success.


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

47th of 154 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 Senior ServiceNow 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.
  • Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.
  • Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.
  • Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.

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

Our ServiceNow practice develops strategies and implements systems that help organizations build business value and improve performance. Drawing on deep experience solving complex IT and non-IT challenges globally, we guide clients through everything from system replacement to full Enterprise transformation. We partner with COOs, CHROs, CFOs/CPOs, CISOs, CIOs/CTOs, technology executives, and service owners across HR, IT, Customer, Field Service, and Project Portfolio Management to modernize technology delivery and operating models. By focusing on NextGen technologies and evolving service models, we help clients shift from foundational technology delivery to becoming the strategic business partner and catalyst for change that today's operational demands require.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 5+ 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 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
  • 8+ years of technology implementation experience
  • 6+ years of ServiceNow implementation experience
  • 4+ years of team lead experience
  • Proposal/RFP/sales experience
  • Experience across ServiceNow applications and modules
  • Certified Application Developer (CAD)
  • Experience delivering ServiceNow GenAI/agentic solutions (Now Assist, AI Agents) and familiarity with AI governance tooling such as ServiceNow AI Control Tower; exposure to Moveworks a plus
  • Proven ability to architect scalable, best-practice ServiceNow solutions across Flow Designer, Integration Hub, Service Portal, App Engine, and the Now Platform APIs. ServiceNow SDK experience with Claude and/or GitHub is a plus
  • Working knowledge of the ServiceNow roadmap and release cycles, with the ability to advise clients on upgrade paths and new capability adoption
  • Demonstrated use of Claude Code to accelerate delivery, including agentic multi-file workstreams, CLAUDE.md project memory, MCP server integrations, and parallel subagents for concurrent work such as feature development, test generation, and security review
  • Experience configuring Claude Code hooks to enforce pre- and post-tool quality, compliance, and security guardrails
  • Experience upskilling engineering teams on agentic coding practices, including context management, CLAUDE.md authoring, prompt engineering, subagent orchestration, and MCP integration

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
  • ServiceNow certification in one or more areas
  • An advanced degree in the area of specialization
  • Module experience across CSM, Creator Workflow, ITxM, HRSD, IRM/GRC, and Source-to-Pay (S2P)
  • Experience with GBS on Now, Now Assist, and Creator Workflow

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 $155,600- $306,800.

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.

Qualifications:

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 Senior ServiceNow 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.
  • Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.
  • Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.
  • Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.

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

Our ServiceNow practice develops strategies and implements systems that help organizations build business value and improve performance. Drawing on deep experience solving complex IT and non-IT challenges globally, we guide clients through everything from system replacement to full Enterprise transformation. We partner with COOs, CHROs, CFOs/CPOs, CISOs, CIOs/CTOs, technology executives, and service owners across HR, IT, Customer, Field Service, and Project Portfolio Management to modernize technology delivery and operating models. By focusing on NextGen technologies and evolving service models, we help clients shift from foundational technology delivery to becoming the strategic business partner and catalyst for change that today's operational demands require.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 5+ 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 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
  • 8+ years of technology implementation experience
  • 6+ years of ServiceNow implementation experience
  • 4+ years of team lead experience
  • Proposal/RFP/sales experience
  • Experience across ServiceNow applications and modules
  • Certified Application Developer (CAD)
  • Experience delivering ServiceNow GenAI/agentic solutions (Now Assist, AI Agents) and familiarity with AI governance tooling such as ServiceNow AI Control Tower; exposure to Moveworks a plus
  • Proven ability to architect scalable, best-practice ServiceNow solutions across Flow Designer, Integration Hub, Service Portal, App Engine, and the Now Platform APIs. ServiceNow SDK experience with Claude and/or GitHub is a plus
  • Working knowledge of the ServiceNow roadmap and release cycles, with the ability to advise clients on upgrade paths and new capability adoption
  • Demonstrated use of Claude Code to accelerate delivery, including agentic multi-file workstreams, CLAUDE.md project memory, MCP server integrations, and parallel subagents for concurrent work such as feature development, test generation, and security review
  • Experience configuring Claude Code hooks to enforce pre- and post-tool quality, compliance, and security guardrails
  • Experience upskilling engineering teams on agentic coding practices, including context management, CLAUDE.md authoring, prompt engineering, subagent orchestration, and MCP integration

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
  • ServiceNow certification in one or more areas
  • An advanced degree in the area of specialization
  • Module experience across CSM, Creator Workflow, ITxM, HRSD, IRM/GRC, and Source-to...

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