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Tokenization Jobs in Houston, TX (NOW HIRING)

Architect and tune company matching logic, including match rules, cleanse functions, tokenization, and survivorship * Configure Reltio entity models and relationships (e.g., parent-subsidiary ...

Particularly AI Tokenization usage. Relocation Options: Relocation may be considered within Chevron parameters. International Considerations: Expatriate assignments will not be considered. Chevron ...

Build technical patterns for data minimization, anonymization, pseudonymization, tokenization, encryption, masking, and secure data sharing. - Act with Integrity Partner with Legal, Privacy ...

Knowledge of data protection (PII), tokenization, and regional compliance. * Background in financial/insurance/auto domains (regulated environments). Physical and Environmental Requirements The ...

Knowledge of data protection (PII), tokenization, and regional compliance. * Background in financial/insurance/auto domains (regulated environments). Physical and Environmental Requirements The ...

Knowledge of data protection (PII), tokenization, and regional compliance. * Background in financial/insurance/auto domains (regulated environments). Physical and Environmental Requirements The ...

Senior Security Engineer

Houston, TX · On-site

$109K - $149K/yr

Drive data classification, PII/PHI protection, masking, tokenization, and synthetic data usage standards. * Ensure secure handling, auditability, and retention of financial and SOX-relevant data.

Senior Counsel

Houston, TX · Hybrid

$220K - $235K/yr

Advise on securities innovation and evolution topics, including capital markets tokenization, stablecoin ecosystem and digital asset offerings. * Draft, review, and maintain offering documents ...

Tokenization information

See Houston, TX salary details

$14.3K

$230.4K

$369.6K

How much do tokenization jobs pay per year?

As of Aug 10, 2026, the average yearly pay for tokenization in Houston, TX is $230,430.00, according to ZipRecruiter salary data. Most workers in this role earn between $191,000.00 and $286,500.00 per year, depending on experience, location, and employer.

What is a tokenization?

A Tokenization job typically involves working with financial transactions, data security, or blockchain technology to convert sensitive data into secure, non-sensitive equivalents called tokens. Professionals in this role implement tokenization systems to protect sensitive information, such as credit card numbers or personal data, from fraud or breaches. They may work with compliance teams to ensure adherence to data security regulations. The job often requires expertise in encryption, cybersecurity, and payment processing technologies.

What are some typical challenges faced in a tokenization role?

One of the main challenges in a tokenization role is staying ahead of evolving cybersecurity threats while ensuring that payment and sensitive data remain secure and compliant with industry regulations. Professionals in this role often need to balance the demands of integrating tokenization solutions with existing IT infrastructures and minimizing disruptions to business operations. Working closely with cross-functional teams—including developers, compliance officers, and external vendors—requires strong communication and project management skills. By proactively addressing these challenges, tokenization specialists play a pivotal role in protecting valuable data assets and fostering customer trust.

What are the key skills and qualifications needed to thrive in the tokenization position, and why are they important?

To thrive in a tokenization role, candidates need a solid understanding of payment card industry (PCI) standards, data security protocols, and encryption technologies, often supported by a computer science degree or relevant certifications like CISSP or CISM. Technical proficiency with tokenization platforms, cybersecurity tools, and payment processing systems is typically required. Strong analytical skills, attention to detail, and effective communication abilities are valuable soft skills for collaborating across IT and business teams. These skills are essential for protecting sensitive data, ensuring compliance, and implementing secure, seamless payment solutions.

What are popular job titles related to Tokenization jobs in Houston, TX? For Tokenization jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Tokenization jobs in Houston, TX look for? The top searched job categories for Tokenization jobs in Houston, TX are:
Infographic showing various Tokenization job openings in Houston, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $230,430 per year, or $110.8 per hour.

LLM Infrastructure Engineer

AMSYS Talent

Houston, TX • On-site

$97K - $127K/yr

Full-time

Re-posted 10 days ago


Job description

We are looking for a Senior Python / AI API Engineer to build and deploy production-grade services powering Large Language Model (LLM) applications. This role focuses on developing high-performance APIs for model inference, optimizing GPU workloads, and deploying AI services in cloud environments.
This is an engineering-focused role, not research. We are looking for someone who has built and shipped AI systems into production and understands the challenges of scalable inference and model serving.
Key Responsibilities
  • Develop high-performance APIs using Python (3.10+) and FastAPI
  • Build and deploy LLM inference services using HuggingFace Transformers and PyTorch
  • Optimize GPU workloads and CUDA memory usage
  • Implement streaming inference APIs for real-time model responses
  • Containerize and deploy services using Docker and GPU-enabled infrastructure
  • Deploy AI workloads in Azure environments (AKS, ACI, or Container Apps)

Required Skills
  • Strong Python development experience (3.10+)
  • Hands-on experience building production APIs with FastAPI
  • Experience with HuggingFace Transformers and PyTorch
  • Solid understanding of REST API design
  • Experience deploying containerized applications with Docker

Nice to Have
  • Experience with OpenAI-compatible APIs, vLLM, or Text Generation Inference (TGI)
  • Experience deploying AI workloads on Azure GPU infrastructure
  • Familiarity with LoRA / PEFT fine-tuning
  • Exposure to legal or financial NLP use cases

Ideal Candidate: A hands-on engineer who understands how LLM systems run in production-from model loading and tokenization to GPU deployment and scalable APIs.