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Cortex Jobs in Irving, TX (NOW HIRING)

AI Engineer

Dallas, TX ยท Remote

Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex Search Services) * Contribute to refining our internal engineering patterns as the stack evolves What you ...

AI Engineer

Dallas, TX ยท Remote

Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex Search Services) * Contribute to refining our internal engineering patterns as the stack evolves What you ...

Lead Principal Snowflake Engineer

Dallas, TX ยท On-site

$101K - $134K/yr

Leverage Snowflake Cortex, Agentic AI patterns, and AI tools to automate workflows and improve engineering productivity * Leadership & Stakeholder Engagement * Provide technical leadership and mentor ...

Subject matter expertise in one or more SOAR platforms** (e.g., Palo Alto XSOAR/Cortex XSOAR, Splunk SOAR/Phantom, Swimlane, Tines, Crowdstrike Fusion, Google Chronicle SOAR, or similar). * Strong ...

Experience with PaloAlto products and Prisma Cortex required System One, and its subsidiaries including Joule and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions ...

The ideal candidate will also help build a Center of Excellence and evaluate new Snowflake capabilities such as Cortex and emerging agentic AI use cases. What you'll be doing In this role, your day ...

Cortex M4, M7, etc.). * Familiarity with security basics (e.g. AES, TRNG, security certificates, etc.). * Experience with common interfaces, such as SPI, I2C, I2S, UART, USB, Bluetooth LE, Wi-Fi, and ...

Experience with SIEM/EDR platforms (Microsoft Sentinel, Defender XDR, Splunk, Elastic, CrowdStrike, Chronicle, Cortex XSIAM) is preferred. * Experience with cloud security tools (Wiz, Prisma Cloud ...

Security Engineer

Dallas, TX ยท On-site

$110 - $160/hr

Experience with SIEM/EDR platforms (Microsoft Sentinel, Defender XDR, Splunk, Elastic, CrowdStrike, Chronicle, Cortex XSIAM) is preferred. * Experience with cloud security tools (Wiz, Prisma Cloud ...

Showing results 21-40

Cortex information

See Irving, TX salary details

$70.6K

$117.2K

$157.5K

How much do cortex jobs pay per year?

As of Aug 9, 2026, the average yearly pay for cortex in Irving, TX is $117,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,900.00 and $135,400.00 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 popular job titles related to Cortex jobs in Irving, TX? For Cortex jobs in Irving, TX, the most frequently searched job titles are:
What job categories do people searching Cortex jobs in Irving, TX look for? The top searched job categories for Cortex jobs in Irving, TX are:
What cities near Irving, TX are hiring for Cortex jobs? Cities near Irving, TX with the most Cortex job openings:
Infographic showing various Cortex job openings in Irving, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 57% In-person, and 43% Remote job distribution, with an average salary of $117,157 per year, or $56.3 per hour.

Full-time

Re-posted 29 days ago


Job description

Join a National Top Workplaceย 
ย 
Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We're always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world's most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers.ย 
ย 
Join Us from Anywhereย 
While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with:ย 

ย ย ย ย ย ย ย ย  Flexible Time Off to recharge when neededย 
ย ย ย ย ย ย ย ย  Nine Company-Wide Holidaysย 
ย ย ย ย ย ย ย ย  A diverse suite of benefits prioritizing your growth, development, and personal well-beingย 

Discover more about our perks and benefits here.ย 
ย 
Kobie is a values-led organization where we believe that everyone is a leader, regardless of their position or role.ย 


About the team and what we'll build together

Kobie runs some of the largest loyalty programs in the world. We're building an internal agent platform on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in Snowflake, and gives our teams and clients an LLM-native way to work with complex loyalty logic.

We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses, writing the tools those agents call, and owning the reliability and evaluation of what goes to production. This is not a research role. You'll prototype, ship, monitor, and iterate on features used by real teams

Our team tends to be people who reason carefully, ship working code,and pick up new tools without a lot of handholding. There's no single path into this role. We value the impact of what you've built and your track record of building things that hold up.

How you will make an impact

Agent Development

  • Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured outputs (Pydantic/JSON schema), retries, streaming, and memory
  • Package agent harnesses for the AgentCore Runtime with appropriate context, tools, skills, and subagents that fit cleanly into production flows and scenarios
  • Write the tools and skills agents use ย API integrations, SQL queries against Snowflake, Snowflake backed knowledge retrieval with clear contracts and Pydantic validation

Evaluation and Reliability

  • Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore Evaluations, and wire them into CI
  • Implement guardrails around tool execution: auth scoping, input/output validation, PII and prompt-injection protections, and hallucination mitigation
  • You own what you ship: prototype, deploy through Amazon AgentCore, monitor traces, and fix it when it breaks

Collaboration

  • Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex Search Services)
  • Contribute to refining our internal engineering patterns as the stack evolves

What you need to be successful

Required

  • 3+ years of professional Python, with production experience building and operating services
  • 1+ years of hands-on work with LLMs in production: prompt/context engineering, tool/function calling, structured outputs, RAG
  • Working knowledge of LangChain/LangGraph or a comparable framework like AgentCore Strands, CrewAI, or Semantic Kernel
  • Experience with LLM observability tools: Amazon CloudWatch, LangSmith, Langfuse, MLflow, or OpenTelemetry
  • Experience designing evaluation frameworks (MLFlow, DeepEval, LLM-as-judge, multi-turn regression)
  • Fluency with Git, Docker, and modern API frameworks
  • Clear written communication and the judgment to know when something is ready to ship

A bachelor's degree is not required. Equivalent practical experience: including bootcamps, self-taught work, career changes, or non-CS technical degrees counts.

Strongly Preferred

  • Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory, policy, guardrails, observability, awscli, evaluations
  • Experience with Snowflake, Snowpark, or Snowflake Cortex
  • Fluency in writing and reading SQL, as well as understanding semantic models.
  • Familiarity with multi-agent patterns: supervisor/router, subagent/handoff, reflection, human-in-the-loop
  • A considered view on where agents should and shouldn't act and comfort pushing back when "let's add an agent" isn't the right answer
  • Experience in Loyalty, MarTech, AdTech, or a comparable data rich B2B domain
Who we are ย As a trusted partner, Kobie delivers market-leading, end-to-end loyalty solutions designed to enable customer experiences for the world's most successful brands. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level. We believe that our team's passion and expertise are the driving forces behind our success and are proud to be named a Top Workplaces in the USA, where the best and brightest in loyalty drive our mission of growing enterprise value through loyalty.ย 
ย 
A place for allย We celebrate and embrace diversity at Kobie!ย 
Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race,color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law.ย 
ย 
We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day. Our DEI initiatives, including various committees, ensure that principles of equity, diversity, and inclusion are deeply ingrained throughout Kobie. While our leadership team fully supports our policy of nondiscrimination and equal opportunity, it is the responsibility of all teammates to uphold these values.ย 
ย 
Ready to join us?ย If you're ready to make an impact and grow in a supportive, innovative environment, we'd love to hear from you. Apply today and join the best and brightest in loyalty!ย 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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