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Patent Agent Computer Science Jobs in Florida (NOW HIRING)

... computer vision, large language models (LLMs), and agent-based systems. * Lead the design and ... Own delivery outcomes for data science and AI workstreams, ensuring solutions meet quality ...

... customer and agent experiences across Chewy Customer Care. This role is ideal for someone who ... Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics ...

AI Agent Developer, ServiceNow

Miami, FL · On-site

$51.75 - $71/hr

Design agent personas, topics, and workflows including decision logic, triggers, tool selection ... Your Toolbox Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science ...

AI Agent Developer, ServiceNow

Miami, FL · On-site

$51.75 - $71/hr

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical field; equivalent hands-on ServiceNow experience will be considered. * 2-4+ years of ...

AI Agent Developer, ServiceNow

Miami, FL · On-site

$51.75 - $71/hr

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical field; equivalent hands-on ServiceNow experience will be considered. * 2-4+ years of ...

You will work with great people who love what they do: our team includes published authors, patent ... Bachelor's degree in STEM with a preference towards Data Science, Computer Science, or Software ...

You will work with great people who love what they do: our team includes published authors, patent ... Bachelor's degree in STEM with a preference towards Data Science, Computer Science, or Software ...

Showing results 21-40

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 job categories do people searching Patent Agent Computer Science jobs in Florida look for? The top searched job categories for Patent Agent Computer Science jobs in Florida are:
What cities in Florida are hiring for Patent Agent Computer Science jobs? Cities in Florida with the most Patent Agent Computer Science job openings:
Infographic showing various Patent Agent Computer Science job openings in Florida 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.

Manager of Data Science

Cliftonlarsonallen

Naples, FL • On-site

Full-time

Medical, Dental, Vision, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.


CliftonLarsonAllen rating

6.7

Company rating: 6.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

20th of 22 rated bookkeepers and accountants


Job description

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

CLA is looking to hire a Data Science Director to join our growing Internal IT team.

About the role:

CLA is looking to hire a Manger of Data Science

This role constructs complex solutions that integrate data wrangling, visualization, and advanced modeling techniques into a seamless workflow using software development best practices in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping, and SQL/no-SQL databases. They automate business workflows while integrating stochastic/numeric algorithms in the process. This role will develop more autonomy to develop solutions and will lead others, take on administrative tasks, perform support roles, and get involved in new business development.

As Manager of Data Science, you will have to following responsibilities:

Leadership
  • Provide daytoday leadership, coaching, development, and performance management.
  • Mentor and guide analysts, supporting onboarding, skill development, and continuous learning across career stages.
  • Conduct workload planning, prioritization, and resource allocation to support multiple concurrent initiatives.
  • Build and sustain a highperforming team culture rooted in collaboration, quality, accountability, and innovation.

Technical Oversight

  • Lead and oversee large scale analytical and AI initiatives, including data acquisition, transformation, modeling, AI system development, automation, and insight generation.
  • Provide technical oversight and review of analytical approaches, models, and AI systems to ensure sound methodology, reproducibility, and scientific rigor.
  • Guide the development and application of advanced statistical, machine learning, and AI-driven solutions, including predictive models, computer vision, large language models (LLMs), and agent-based systems.
  • Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows.
  • Establish and evolve analytical and AI best practices, documentation standards, and technical frameworks across the team.
  • Ensure standards for model and AI system validation, monitoring, evaluation, documentation, and responsible AI use are consistently applied.
  • Partner with engineering, IT, and data platform teams to enable scalable, reliable, and well governed solutions.

Workflow Management

  • Own delivery outcomes for data science and AI workstreams, ensuring solutions meet quality, performance, and business expectations.
  • Translate business objectives into clear analytical and AI priorities, balancing near term delivery with long term capability building.
  • Oversee planning, prioritization, and resourcing across projects and teams.
  • Monitor solution performance, validation results, and model or AI system stability; guide troubleshooting of complex data, model, or AI issues.
  • Ensure solutions are productionized effectively, with clear ownership, monitoring, and integration into business workflows.
  • Establish, refine, and enforce standards for documentation, reproducibility, quality assurance, and governance.
  • Remove obstacles, manage risks, and ensure consistent execution across initiatives.

CrossFunctional Collaboration

  • Serve as a primary point of contact for business and functional leaders on analytics and AI initiatives.
  • Partner with stakeholders to define business questions, success metrics, analytical frameworks, and delivery expectations.
  • Coordinate work across teams, offices, and disciplines to ensure alignment of analytical and AI approaches and outcomes.
  • Communicate progress, risks, and results clearly to both technical and non technical audiences.
  • Evaluate and recommend adoption of new data sources, technologies, and analytical and AI tools.
  • Contribute to enterprise level analytics and AI strategy, including identifying high impact use cases and guiding their transition from concept to production.

What you will need:

8 years of relevant experience required.

  • Experience in data analytics, statistics, data science, AI, financial consulting, computer science or related field required.
  • Experience with APIs, web scraping, SQL/no-SQL databases, and cloud-based data solutions required.
  • Supervisory experience required.

Education

Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.

  • Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data Science, Health Data Science), AI, or related field preferred.
  • Masters in a Data Science/Analytics/AI is a plus

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Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits, click here.



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About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012