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Patent Agent Computer Science Jobs in Utah (NOW HIRING)

... patented rating technology is used by over 25,000 organizations for self‑monitoring ... Strong computer science fundamentals (algorithms, data structures, systems design, and networking)

New

Agentic AI Engineer

Salt Lake City, UT · Hybrid

$130K - $170K/yr

Architect multi-agent systems with reliable tool use, memory, and orchestration patterns that ... Bachelor's degree in Computer Science, Machine Learning, relevant technical field, or equivalent ...

Agentic AI Engineer

Salt Lake City, UT · On-site

$130K - $170K/yr

Architect multi-agent systems with reliable tool use, memory, and orchestration patterns that ... Bachelor's degree in Computer Science, Machine Learning, relevant technical field, or equivalent ...

Sr. Applied AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

Build agent orchestration patterns for multi-step workflows, tool calling, MCP servers, state ... Bachelor's degree in Computer Science, Machine Learning, or a related field * AWS Certified Machine ...

Sr. Applied AI Engineer

Salt Lake City, UT

$101K - $138K/yr

Build agent orchestration patterns for multi-step workflows, tool calling, MCP servers, state ... Bachelor's degree in Computer Science, Machine Learning, or a related field * AWS Certified Machine ...

Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field * 10+ ... Experience with LLM-as-judge, agent tracing, multimodal evals, golden datasets, or automated ...

Contribute to AI agent and workflow automation using Microsoft Copilot Studio, as a secondary ... S. degree in Computer Science, Information Technology, or a related field, or equivalent ...

New

Senior Backend Engineer - AI Platform

Salt Lake City, UT · On-site +1

$118K - $156K/yr

Design solutions for context management, memory, and retrieval-augmented generation (RAG) to enhance agent effectiveness. Experience you'll bring: * Bachelor's degree in Computer Science or Software ...

Senior Backend Engineer - AI Platform

Salt Lake City, UT · On-site +1

$118K - $156K/yr

Design solutions for context management, memory, and retrieval-augmented generation (RAG) to enhance agent effectiveness. Experience you'll bring: * Bachelor's degree in Computer Science or Software ...

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

... agent framework. This is a unique opportunity to apply state-of-the-art Generative AI and NLP ... Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a ...

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

... agent framework. This is a unique opportunity to apply state-of-the-art Generative AI and NLP ... Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a ...

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

... agent framework. This is a unique opportunity to apply state-of-the-art Generative AI and NLP ... Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a ...

... our remote Captioning Agent employees using virtual private networks and virtual desktop ... Must have a comprehensive working knowledge of using computer with Microsoft Office, specifically ...

New

Senior Machine Learning Engineer

Sandy, UT · Hybrid

$99K - $136K/yr

... model expertise and agent architecture for the Cognigy platform. As Senior Machine Learning ... MS in computer science, electrical engineering, computational linguistics, or a related field with ...

Showing results 41-60

Patent Agent Computer Science information

What are some common challenges faced by patent agents specializing in computer science, and how can they be overcome?

Patent Agents in Computer Science often encounter the challenge of staying up-to-date with rapidly evolving technologies and interpreting complex technical concepts for patent applications. Navigating the differences between software patent eligibility in various jurisdictions can also be demanding. Effective collaboration with inventors and legal teams is essential to ensure accurate and comprehensive patent filings. Staying engaged with continuing education and regularly reviewing new case law helps Patent Agents maintain expertise and manage these challenges successfully.

What is the difference between Patent Agent Computer Science vs Patent Attorney Computer Science?

AspectPatent Agent Computer SciencePatent Attorney Computer Science
CredentialsPatent Bar, technical degree in CSPatent Bar, law degree, and admission to bar
Work EnvironmentPatent offices, law firms, R&D departmentsLaw firms, corporate legal departments, patent offices
Industry UsagePreparing and prosecuting patent applications in CSLegal representation, patent litigation, advising clients
Common Search IntentDifferences, roles, qualificationsLegal scope, responsibilities, career path

Patent Agent Computer Science focuses on preparing and prosecuting patent applications in the tech field, requiring a technical degree and passing the Patent Bar. Patent Attorney Computer Science involves legal representation, including patent litigation and advising clients, requiring a law degree and bar admission. Both roles work closely in the patent process but differ mainly in legal authority and scope.

What is a patent agent in computer science?

Patent Agents in Computer Science are professionals licensed by the United States Patent and Trademark Office (USPTO) to help inventors and organizations protect their computer-related inventions. They specialize in drafting, filing, and prosecuting patent applications, particularly for innovations in software, algorithms, and hardware. While they are not attorneys and cannot represent clients in court, they possess a strong background in computer science and patent law, making them essential for navigating the complex process of securing patents for technological inventions.

What are the key skills and qualifications needed to thrive as a patent agent in computer science?

To thrive as a Patent Agent in Computer Science, you need a strong background in computer science or engineering, familiarity with intellectual property law, and registration with the USPTO. Expertise in patent databases, patent drafting software, and legal research tools is commonly required. Attention to detail, analytical thinking, and effective communication are vital soft skills for interpreting technical concepts and interacting with inventors and attorneys. These skills ensure accurate patent preparation, protection of innovations, and successful navigation of complex legal and technical requirements.
What are popular job titles related to Patent Agent Computer Science jobs in Utah? For Patent Agent Computer Science jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Patent Agent Computer Science jobs in Utah look for? The top searched job categories for Patent Agent Computer Science jobs in Utah are:
Infographic showing various Patent Agent Computer Science job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

Contact Center Operations Generalist, Business Transformation Architecture

Deloitte

Salt Lake City, UT • On-site

Full-time

Re-posted 14 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

Contact Center Operations Generalist Architect

Our Deloitte Sales & Service team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce

Recruiting for this role ends on December 31, 2026.

Work you'll do

As a Contact Center Operations Generalist, you will lead client-facing transformation efforts that modernize contact center operations across voice and digital channels, with a strong focus on measurable business outcomes. You will advise senior client stakeholders on target operating models, process redesign, and the effective use of leading CCaaS platforms such as Five9, Amazon Connect, Genesys, and NICE. You will also help clients adopt and govern AI-enabled service capabilities including agent assist, summarization, knowledge search, intelligent routing, and quality automation.

Key responsibilities

  • Lead contact center strategy, transformation, and optimization programs
  • Shape target operating models, solution roadmaps, and implementation approaches
  • Advise on CCaaS platform selection, design, and deployment
  • Design and govern AI-enabled service operations use cases
  • Drive measurable improvements in customer experience, efficiency, and quality
  • Partner with client executives and Deloitte teams to deliver sustainable outcomes

A successful candidate would possess these skills:

  •   Ability to work independently and collaborate as part of a team
  •   Effective written and verbal communication skills
  •   Meticulous attention to detail and quality of work product
  •   Ability to build and sustain professional relationship
  •   Ability to lead projects or workstreams
  •   Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  •   Strong interpersonal skills and professional demeanor
  •   Ability to meet deadlines
  •   Ability to provide clear guidance to others

The team

Our Sales & Service offering drives global customer transformation by designing and implementing innovative sales and service experiences. We blend strategy, technology, and creativity to solve complex challenges, bringing customer strategies to life and creating new markets.

Qualifications

Required

  • 10+ years of experience in contact center operations, customer service operations, and/or contact center transformation (consulting and/or industry)
  • Experience translating operational requirements into CCaaS capabilities (e.g., IVR/ACD, routing, WEM/QM, analytics, knowledge, CRM/CSM integration) and supporting CCaaS evaluations and implementations across leading platforms (e.g., Five9, Amazon Connect, Genesys, NICE)
  • Experience partnering with Workforce Management and Quality teams to improve forecasting, scheduling, adherence/occupancy, calibration, and coaching programs
  • Experience enabling AI-powered service operations (e.g., agent assist, summarization, knowledge search, intelligent routing, quality automation), including adoption, measurement, and controls (privacy/PII, monitoring, escalation)
  • Bachelor's degree in Computer Science, Engineering, or equivalent work experience
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Experience with WEM/QM/WFM suites (e.g., recording, quality, coaching, performance dashboards) in enterprise contact center environments
  • Experience with omnichannel and digital service strategies that improve containment/deflection and reduce repeat contacts
  • Experience with speech/text analytics or voice-of-customer programs that drive operational improvements tied to KPI outcomes
  • Experience establishing AI governance and operational runbooks for contact center use cases (human-in-the-loop, monitoring, auditability)
  • Strong understanding of SDLC methodologies (Agile, SCRUM, RUP, other)

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 $171,500 to $307,500.

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.

#Customer_US

#SS_US

 
Qualifications:

Contact Center Operations Generalist Architect

Our Deloitte Sales & Service team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce

Recruiting for this role ends on December 31, 2026.

Work you'll do

As a Contact Center Operations Generalist, you will lead client-facing transformation efforts that modernize contact center operations across voice and digital channels, with a strong focus on measurable business outcomes. You will advise senior client stakeholders on target operating models, process redesign, and the effective use of leading CCaaS platforms such as Five9, Amazon Connect, Genesys, and NICE. You will also help clients adopt and govern AI-enabled service capabilities including agent assist, summarization, knowledge search, intelligent routing, and quality automation.

Key responsibilities

  • Lead contact center strategy, transformation, and optimization programs
  • Shape target operating models, solution roadmaps, and implementation approaches
  • Advise on CCaaS platform selection, design, and deployment
  • Design and govern AI-enabled service operations use cases
  • Drive measurable improvements in customer experience, efficiency, and quality
  • Partner with client executives and Deloitte teams to deliver sustainable outcomes

A successful candidate would possess these skills:

  •   Ability to work independently and collaborate as part of a team
  •   Effective written and verbal communication skills
  •   Meticulous attention to detail and quality of work product
  •   Ability to build and sustain professional relationship
  •   Ability to lead projects or workstreams
  •   Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  •   Strong interpersonal skills and professional demeanor
  •   Ability to meet deadlines
  •   Ability to provide clear guidance to others

The team

Our Sales & Service offering drives global customer transformation by designing and implementing innovative sales and service experiences. We blend strategy, technology, and creativity to solve complex challenges, bringing customer strategies to life and creating new markets.

Qualifications

Required

  • 10+ years of experience in contact center operations, customer service operations, and/or contact center transformation (consulting and/or industry)
  • Experience translating operational requirements into CCaaS capabilities (e.g., IVR/ACD, routing, WEM/QM, analytics, knowledge, CRM/CSM integration) and supporting CCaaS evaluations and implementations across leading platforms (e.g., Five9, Amazon Connect, Genesys, NICE)
  • Experience partnering with Workforce Management and Quality teams to improve forecasting, scheduling, adherence/occupancy, calibration, and coaching programs
  • Experience enabling AI-powered service operations (e.g., agent assist, summarization, knowledge search, intelligent routing, quality automation), including adoption, measurement, and controls (privacy/PII, monitoring, escalation)
  • Bachelor's degree in Computer Science, Engineering, or equivalent work experience
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Experience with WEM/QM/WFM suites (e.g., recording, quality, coaching, performance dashboards) in enterprise contact center environments
  • Experience with omnichannel and digital service strategies that improve containment/deflection and reduce repeat contacts
  • Experience with speech/text analytics or voice-of-customer programs that drive operational improvements tied to KPI outcomes
  • Experience establishing AI governance and operational runbooks for contact center use cases (human-in-the-loop, monitoring, auditability)
  • Strong understanding of SDLC methodologies (Agile, SCRUM, RUP, other)

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 $171,500 to $307,500.

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.

#Customer_US

#SS_US

 
Education:Bachelor's DegreeEmployment Type:

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