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Patent Agent Computer Science Jobs in Houston, TX

NLP & Agent-Based AI Applications * Build LLM-powered solutions using prompt engineering, fine ... Master's or Ph.D. in Computer Science, Data Science, Mathematics, Statistics, Engineering, or ...

Intellectual Property Attorney

Spring, TX · On-site

$147K - $190K/yr

Qualified Patent Attorney (e.g. US or European). * Appropriate technical degree (preferably in electrical engineering, computer science, physics, or a closely related technical field). * 4-7 years of ...

D. in Bioinformatics, Computational Biology, Genetics, Computer Science, Biomedical Engineering, or ... record of patents, publications, or successful product launches. COMPETENCIES • Strong ...

Bachelor's degree (accredited) in Computer Science, MIS or similar area of study, or in lieu of ... Genesys Agent Desktop (IW) Genesys Info Mart Genesys Composer Development o Eclipse IDE o XML ...

Senior AI Data Scientist

Houston, TX · On-site

$140 - $210/hr

Design, build, and evaluate deep learning models and agent based systems, selecting modeling ... Master's Degree in Statistics, Applied Mathematics, Operations Research, Computer Science, or ...

AI Platform & Agent Engineer Contract position Houston, TX -Hybrid Required Qualifications * Bachelor's degree in computer science, Data Science, Software Engineering, Information Systems, or related ...

Design and implement agents and multi-agent architectures to optimize client workflows. Travel may ... Computer Science * Minimum of 5 years of experience in machine learning, deep learning, or ...

Showing results 41-60

Patent Agent Computer Science information

See Houston, TX salary details

$54.4K

$110.3K

$161.4K

How much do patent agent computer science jobs pay per year?

As of Aug 11, 2026, the average yearly pay for patent agent computer science in Houston, TX is $110,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $109,800.00 per year, depending on experience, location, and employer.

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 Houston, TX? For Patent Agent Computer Science jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Patent Agent Computer Science jobs in Houston, TX look for? The top searched job categories for Patent Agent Computer Science jobs in Houston, TX are:
What cities near Houston, TX are hiring for Patent Agent Computer Science jobs? Cities near Houston, TX with the most Patent Agent Computer Science job openings:
Infographic showing various Patent Agent Computer Science job openings in Houston, TX 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, with an average salary of $110,254 per year, or $53 per hour.

Principal Scientist, Data

Augment

Houston, TX

$80 - $83/hr

Full-time

Re-posted 6 days ago


Job description

Job Title: Data Scientist – AI/ML Focus
Worksite: Onsite Monday–Thursday (Mandatory) – Houston, TX

Must-Have Technologies: Snowflake, SQL, Palantir (or similar data decision/operational AI platform)

Position Summary

We are seeking a highly curious, proactive, and innovative Data Scientist with deep experience in AI/ML, NLP, and Large Language Models (LLMs). The ideal candidate will excel at blending complex datasets, building predictive and statistical models, and delivering AI-driven solutions that create measurable business impact.

This role will work hands-on with advanced LLMs and modern ML frameworks to design, train, deploy, and optimize AI applications within a real-world operational environment. You will partner closely with business and technical stakeholders to translate data science into clear, actionable strategies.

Key Responsibilities

AI/ML Model Development

  • Design, train, fine-tune, and evaluate machine learning and deep learning models—including LLMs—for predictive analytics and automated decision-making.

Data Engineering & Feature Development

  • Collect, clean, and analyze structured and unstructured data; engineer features to improve model accuracy and efficiency.

NLP & Agent-Based AI Applications

  • Build LLM-powered solutions using prompt engineering, fine-tuning, inference optimization, and agent-based architectures.

Business Decision Support

  • Convert statistical and ML findings into practical insights and recommendations that support strategic decisions.

End-to-End Deployment (MLOps)

  • Implement, deploy, and monitor ML models using best practices for reliability, scalability, and performance.

Data Storytelling & Communication

  • Create dashboards, visualizations, and presentations that clearly communicate insights to non-technical stakeholders.

Required Skills & Experience

Technical Expertise

  • Hands-on experience with AI/ML, NLP, LLM applications (GPT/BERT/LangChain), predictive modeling, and deep learning.
  • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
  • Advanced SQL skills and experience integrating data from multiple sources.
  • Experience with SnowflakeAWS (SageMaker, S3, Redshift), and automated ML pipelines.
  • Strong understanding of version control (Git) and collaborative development.

Soft Skills

  • Highly curious, innovative, and growth-oriented mindset.
  • Ability to drive projects independently from ideation to deployment.
  • Strong business acumen with the ability to align technical output to business needs.
  • Excellent communication skills with the ability to simplify technical concepts.

Preferred Qualifications

  • Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Statistics, Engineering, or another quantitative discipline.
  • Experience using BI or model-monitoring tools (Power BI, Dash, Streamlit).
  • Familiarity with reinforcement learning or agent-based AI systems.

Why This Role?

This opportunity is ideal for a Data Scientist who wants to work at the forefront of AI innovation—building advanced LLM-based solutions, deploying operational ML models, and driving real business impact within a forward-thinking organization.

Job Type: Full-time

Work Location: In person