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Cortex Jobs in Texas (NOW HIRING)

Cortex Process Equipment

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Pipe Welder

Tyler, TX · On-site

$24 - $34/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Perform all work in a safe manner in accordance to Cortex safety policies and procedures * Comply with company work schedule, including but not limited to overtime, evenings, weekends and holidays as ...

Cortex Process Equipment

Be Seen First

Vessel Welder

Tyler, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Perform all work in a safe manner in accordance to Cortex safety policies and procedures * Actively promote and personally observe all company policies, employee handbook, safety and security ...

Jobtailor

Senior Growth Strategy Analyst

Dallas, TX · On-site

$120 - $180/hr

Develop agentic analytics solutions in Snowflake using Cortex Analyst, Cortex Search, and Cortex Agents -- including verified query libraries -- to enable natural-language self-service for Growth ...

ADPMN Inc

Snowflake Admin

Austin, TX · On-site

$18 - $23.75/hr

... Snowflake Cortex capabilities with governance and monitoring. • Build and support data pipelines and transformations using DBT and workflow orchestration with Openflow (or similar tools)

Cortex

Marketing Associate

Irving, TX · On-site

Position Summary We're looking for an energetic, detail-driven self-starter to join our Marketing team as a Marketing Associate. This role supports the development and execution of customer ...

Secur-Serv

Security Automation Engineer

Fort Worth, TX · On-site +1

Lead Cortex XSOAR technical implementation/operations in a customer environment * Interact with Security and IT technologies relating to customer environment * Create documentation for Palo Alto ...

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Cortex information

See Texas salary details

$68.5K

$113.7K

$152.8K

How much do cortex jobs pay per year?

As of Aug 14, 2026, the average yearly pay for cortex in Texas is $113,669.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $131,400.00 per year, depending on experience, location, and employer.

What is the difference between Cortex vs Data Analyst?

AspectCortexData Analyst
Required CredentialsTypically requires knowledge of neuroscience, psychology, or related fields; may include certifications in neurotechnologyUsually requires a degree in statistics, mathematics, or data science; certifications like Microsoft Data Analyst or Tableau are common
Work EnvironmentResearch labs, healthcare settings, neurotechnology companiesBusiness offices, consulting firms, data-driven industries
Employer & Industry UsageNeuroscience research, neurotech startups, healthcareFinance, marketing, healthcare, technology

While both roles involve data handling, Cortex specialists focus on neuro-related data and brain research, whereas Data Analysts work across various industries analyzing business data to inform decisions.

What are the key skills and qualifications needed to thrive as a Cortex engineer, and why are they important?

To thrive as a Cortex Engineer, you need a strong background in software engineering, distributed systems, and data storage, often backed by a degree in computer science or a related field. Experience with monitoring platforms like Prometheus, cloud environments (AWS, GCP), and familiarity with the Cortex open-source project are highly valuable. Strong problem-solving skills, effective communication, and a collaborative mindset help individuals excel in this role. These skills are critical for building scalable, reliable monitoring solutions that support large-scale infrastructure and development teams.

What are some common challenges faced by Cortex engineers when integrating new services with complex microservice architectures?

Cortex engineers often deal with the complexity of integrating new services into an existing microservices ecosystem, which requires a deep understanding of distributed system patterns, observability, and reliability concerns. Challenges can include managing service discovery, handling data consistency, and ensuring efficient communication between services. Collaborating closely with platform, DevOps, and security teams is essential to ensure smooth deployments and maintain system stability. Overcoming these challenges can be highly rewarding, as it provides opportunities to innovate and improve infrastructure at scale.

What is a Cortex?

A Cortex job typically refers to a role within a machine learning or AI platform team that focuses on optimizing infrastructure, managing model deployment, and ensuring scalable performance. Cortex can also relate to roles within companies that develop AI-powered tools or work on neural processing technologies. Responsibilities may include building scalable ML services, integrating with cloud platforms, or maintaining real-time inference systems. The specific job details can vary depending on the company and industry.

What are the most commonly searched types of Cortex jobs in Texas?

The most popular types of Cortex jobs in Texas are:

What are popular job titles related to Cortex jobs in Texas?

For Cortex jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Cortex jobs in Texas look for?

The top searched job categories for Cortex jobs in Texas are:

What cities in Texas are hiring for Cortex jobs?

Cities in Texas with the most Cortex job openings:

Cortex jobs near you
Infographic showing various Cortex job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $113,669 per year, or $54.6 per hour.

Snowflake Architect- Cortex

Cognizant Technology Solutions

Dallas, TX • On-site

$120 - $160/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants

Job description

Senior Snowflake AI Architect ( Cortex )
Location- Hybrid @ Dallas, TX
Must have Snowflake Cortex experience to be considered
About the Role
We are seeking a Senior Snowflake Architect with deep expertise in Snowflake Cortex to design, build, and guide customers in delivering production-grade AI and machine learning use cases on the Snowflake AI Data Cloud. You will act as a trusted technical advisor, translating customer business problems into scalable Cortex -powered solutions spanning generative AI, RAG, LLM functions, and ML workflows.
Key Responsibilities
  • Partner with customers to identify high-value AI/ML use cases and architect end-to-end solutions using Snowflake Cortex ( Cortex AISQL, Cortex Analyst, Cortex Search, Cortex Agents, and fine-tuning).
  • Design and implement Retrieval-Augmented Generation (RAG) pipelines using Cortex Search and vector embeddings.
  • Build conversational analytics and text-to-SQL experiences using Cortex Analyst over structured data.
  • Leverage Cortex LLM functions (COMPLETE, SUMMARIZE, SENTIMENT, TRANSLATE, EXTRACT_ANSWER, CLASSIFY) within SQL and Python workflows.
  • Configure Cortex Sense to assemble shared business context that grounds CoWork and CoCo agents for higher accuracy out of the box.
  • Expose Cortex Agents, semantic views, and search services as tools via Snowflake-managed MCP servers for reuse across MCP-compatible clients.
  • Enable customers to build with Snowflake CoCo - the Snowflake-native, data-aware AI coding agent - to accelerate data engineering, ML pipelines, app and agent development that respects catalog, lineage, and RBAC.
  • Develop and deploy ML models using Snowflake ML, Snowpark, and Model Registry; operationalize feature engineering and inference at scale.

Required Qualifications
  • 10+ years in data architecture, data engineering, or ML engineering, with 3+ years hands-on Snowflake experience.
  • Demonstrated experience building AI/GenAI solutions, ideally with Snowflake Cortex or comparable LLM/ML platforms.
  • Strong SQL and Python; proficiency with Snowpark.
  • Solid understanding of LLM concepts: prompting, embeddings, vector search, RAG, fine-tuning, and evaluation.
  • Experience designing secure, governed cloud data platforms (AWS, Azure, or GCP).
  • Excellent communication and stakeholder-management skills for customer-facing engagements

Salary and Other Compensation:
Applications will be accepted until Month Day, Year.
The annual salary for this position is between $120-160Kdepending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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