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Cortex Jobs in Illinois (NOW HIRING)

AbbVie

AI & Automation Engineer

North Chicago, IL

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop and manage playbooks, workflows, and integrations within the Cortex XSOAR platform to accelerate incident resolution. * Cross-Functional Collaboration: Partner closely with security analysts ...

AbbVie

AI & Automation Engineer

North Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop and manage playbooks, workflows, and integrations within the Cortex XSOAR platform to accelerate incident resolution. * Cross-Functional Collaboration: Partner closely with security analysts ...

AbbVie

AI & Automation Engineer

North Chicago, IL · On-site

$84K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop and manage playbooks, workflows, and integrations within the Cortex XSOAR platform to accelerate incident resolution. * Cross-Functional Collaboration: Partner closely with security analysts ...

Kobie Marketing

AI Engineer

Chicago, IL · 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 ...

Symanteq Softtech LLC

Snowflake Developer

Peoria, IL · On-site

Knowledge on Snowflake Cortex AI capabilities to support advanced analytics, automation, and AI-driven use cases. * Support data warehouse architecture, Knowledge on Data Vault model. * Experience in ...

Apex Informatics

IT Security Specialist

Chicago, IL · On-site

... Cortex, CrowdStrike, MS Sentinel, Google Chronicle). * 3+ years of experience with Splunk, certifications preferred * 3+ Year experience with the detection and response-based security controls in at ...

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Cortex information

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 Illinois?

The most popular types of Cortex jobs in Illinois are:

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

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

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

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

What cities in Illinois are hiring for Cortex jobs?

Cities in Illinois with the most Cortex job openings:

Cortex jobs near you
Infographic showing various Cortex job openings in Illinois as of August 2026, with employment types broken down into 90% Full Time, 1% Part Time, and 9% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Data Analyst - W2 role - Remote opening

GDR Defense

Chicago, IL • On-site

Contractor

Re-posted 6 days ago

Job description

Only on W2 Role: No C2C

Title/Level: Data Analyst
Location: Chicago, IL (Remote)
Duration: 6 months (20 hours per week - 4x5)

1. Project Overview
The purpose of the Dispute Modeling Engine (DME) will be to provide a granular view into historical usage data and will support analysts when reviewing disputes submitted by the customer.
The DME will identify changes (both internally and directly on the customer's instance) that may have occurred that are impacting usage and subsequently, quantify a valid credit amount.
The DME will leverage AI to provide key insights into the data such as changes that have occurred, identifying anomalies, etc.

2. Technical Environment
Data Source: Snowflake (various tables extracted from customer's instance as well as internally managed tables)

Visualization Tool: Power BI

  • AI Integration: Snowflake Cortex AI – include AI summarization of changes

Data Modeling & Integration

  • Connect Power BI to Snowflake efficiently
  • Optimize queries and warehouse performance.
  • Create semantic models and reusable datasets.
  • Integrate AI tools into dashboard

Dashboard Development

  • Develop dashboard that dynamically changes visuals and data sources based on products selected
  • Implement an interactive dashboard that breaks out details by product type along with drill-through and filter capabilities.
  • Establish consistent visual design, KPI cards, and navigation.
  • Integrate AI capabilities that can assess data from various tables to provide key insights on data in a dashboard

Cortex AI Integration

  • Incorporate AI Summarization of changes
  • Implement natural language Q&A or conversational insights using Cortex LLM features.
  • Automate anomaly or trend detection.

Performance Optimization

  • Ensure efficient load times, DAX optimization, and query performance.
  • Set up caching, incremental refresh, or performance monitoring.

Documentation & Knowledge Transfer

  • Provide clear technical documentation (data model, DAX logic, AI pipelines).
  • Conduct knowledge transfer or walkthrough sessions.

Power BI Expertise

  • Advanced DAX, Power Query, data modeling, and visualization design.

Snowflake Expertise

  • Proficiency in SQL, schema design, and performance tuning.
  • Familiarity with Snowflake and integration into PowerBI

AI/ML & Cortex AI Familiarity

  • Experience using Snowflake Cortex (or equivalent LLM integration like Vertex AI or Azure OpenAI).
  • Understanding of prompt engineering, model outputs, and security/privacy considerations.

General Skills

  • Experience integrating BI with AI/ML workflows.
  • Strong communication and documentation habits.
  • Ability to work iteratively with non-technical stakeholders.
Education: Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics, Engineering, or a related quantitative field; equivalent practical experience accepted.
Coursework or formal training in:
•   Data modeling, SQL, and cloud data warehousing
•   Business Intelligence / data visualization
•   Machine learning and LLM fundamentals (preferred)
Relevant certifications such as:
•   Microsoft PL-300 (Power BI Data Analyst)
•   Snowflake SnowPro Core or Advanced
•   AI/LLM certifications (Azure OpenAI, Vertex AI, or equivalent) are a plus.
•   Demonstrated completion of applied data engineering, BI, or AI bootcamps is also acceptable.