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Cortex Jobs in Miami, FL (NOW HIRING)

Deloitte

Cyber - Google SecOps - Manager

Miami, FL

Experience with MITRE ATT&CK, the Cyber Kill Chain, VirusTotal, Mandiant, Google Threat Intelligence, Splunk, Cortex XSOAR, and AI agentic frameworks, including Model Context Protocol (MCP) or Agent ...

Lennar

Lead Data Engineer

Miami, FL · On-site +1

$98K - $129K/yr

Familiarity with cloud-native AI services (e.g., Snowflake Cortex or AWS Bedrock) for embedding LLM capabilities directly inside the data layer. * Exposure to frameworks used for AI data preparation ...

Lennar Homes

Lead Data Engineer

Miami, FL · On-site

$98K - $129K/yr

Familiarity with cloud-native AI services (e.g., Snowflake Cortex or AWS Bedrock) for embedding LLM capabilities directly inside the data layer. Exposure to frameworks used for AI data preparation (e ...

Lennar

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

Familiarity with cloud-native AI services (e.g., Snowflake Cortex or AWS Bedrock) for embedding LLM capabilities directly inside the data layer. * Exposure to frameworks used for AI data preparation ...

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Showing results 1-20

All JobsCortex JobsCortex Jobs in Miami, FL

Cortex information

See Miami, FL salary details

$70.3K

$116.7K

$156.9K

How much do cortex jobs pay per year?

As of Aug 23, 2026, the average yearly pay for cortex in Miami, FL is $116,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $134,900.00 per year, depending on experience, location, and employer.

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 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 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 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 popular job titles related to Cortex jobs in Miami, FL?

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

What job categories do people searching Cortex jobs in Miami, FL look for?

The top searched job categories for Cortex jobs in Miami, FL are:

What cities near Miami, FL are hiring for Cortex jobs?

Cities near Miami, FL with the most Cortex job openings:

Cortex jobs near you
Infographic showing various Cortex job openings in Miami, FL as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $116,693 per year, or $56.1 per hour.

Staff Data Engineer

Material Bank

Fort Lauderdale, FL

Full-time

Re-posted 23 days ago

Job description

Material Bank is the world's largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search, sample, and specify materials.

We're looking for a Staff Data Engineer to lead the design, development, and operation of AI agents that power intelligent experiences across the Material Bank platform. This role sits at the intersection of data engineering, applied AI, and platform innovation, with the opportunity to shape how AI is embedded into the core of our business and customer experience. You'll be the technical lead defining how we build AI agents, with direct access to the teams interfacing with Snowflake with room to influence architecture decisions, and the chance to work across the full AI stack from data modeling and semantic layers to agent orchestration and production operations.

This is an exciting opportunity for someone who is, at their core, a passionate data engineer with deep curiosity about AI and significant experience building strong data foundations before expanding into applied AI and agent based systems. We are looking for someone who enjoys solving complex technical problems, experimenting with emerging technologies, and turning ambiguous ideas into scalable, production ready solutions. Working hands-on with Snowflake Cortex as our primary AI platform, you will help push the boundaries of what modern AI systems can do in an enterprise environment while helping define the future of intelligent experiences at Material Bank.

What You'll Do

  • Design, build, and operate production grade AI agents, owning the full lifecycle from prototyping and evaluation through deployment, monitoring, and continuous improvement.
  • Lead the development of scalable AI and data services, including MCP servers and REST APIs that expose intelligent capabilities to products, applications, and internal teams.
  • Serve as our internal expert on Snowflake Cortex, going deep on Cortex Agents, Cortex Analyst, and Cortex Search while partnering directly with Snowflake's account and product teams to influence capabilities and shape how we apply the platform.
  • Apply modern agent architecture patterns including RAG, tool use, orchestration, memory, and evaluation frameworks to build reliable, accurate, and cost efficient AI systems.
  • Partner closely with Analytics & Insights team to design and maintain semantic and metrics layers that create consistent business definitions across AI, analytics, and reporting use cases.
  • Build and maintain scalable data pipelines, transformations, and models that power AI workloads using Snowflake, dbt, and Airflow.
  • Collaborate across data, product, analytics, and engineering teams to translate ambiguous business problems into well designed AI and data solutions.
  • Establish engineering standards and best practices for agentic systems, including observability, evaluation, prompt management, governance, and operational guardrails.

What You'll bring:

  • Deep experience and genuine passion for data engineering, with strong instincts around data modeling, pipeline architecture, scalability, data quality, and building reliable platforms. Strong data foundations are core to this role.
  • 5+ years of experience in data engineering, AI/ML engineering, or related fields, including recent hands on experience building and shipping LLM powered applications or AI agents into production environments.
  • Experience building production APIs and services, including MCP servers and REST based architectures.
  • Strong understanding of modern agent development patterns including RAG, vector search, prompt engineering, tool/function calling, and frameworks such as LangChain, LangGraph, or LlamaIndex.
  • Deep expertise in Snowflake, including performance optimization, warehouse architecture, and scalable data modeling approaches such as dimensional modeling or Data Vault.
  • Production experience with dbt and Airflow, including building and maintaining semantic or metrics layers.
  • Strong Python engineering skills and solid experience working within AWS environments including services such as S3, IAM, Lambda, ECS, or similar.
  • Hands on experience using AI powered engineering tools such as Claude Code or similar development accelerators as part of real world engineering workflows.
  • Excitement about specializing deeply in Snowflake Cortex and helping define our long term AI platform strategy.

Nice to Have

  • Hands on experience working with Snowflake Cortex in production environments.
  • Experience with LLM evaluation, tracing, and observability platforms such as LangSmith, Arize, or Langfuse.
  • Experience partnering closely with analytics or BI teams to operationalize business metrics and semantic models.
  • Experience with Go, or a demonstrated ability to quickly learn and apply new technologies and programming languages.

What you'll get from us:

  • Our people: We are a growth-driven team that values efficiency, builds smart automation, operates in small empowered teams, and moves quickly from idea to execution.
  • Relaxation and Celebrations: Flexible PTO, Sick Days, Paid National Holidays, and even more (ask us about this when we connect).
  • Health Benefits: We contribute to your medical, dental, vision and short-term/long-term disability plans and have a strong employee assistance program.
  • Plan for your Retirement: 401(k) eligible after your first 90 day's employed!
  • Giving Back: We sponsor multiple events throughout the year to help out our communities.
  • Growth: We'll help you take your career to the next level. We want you to be creative and take initiative which will allow you to grow and create within the company. Most importantly, be the best at what matters!
  • Flexible Work Schedules: With business units and employees across the globe, Material Technologies has embraced a hybrid  working model allowing department leaders to decide on the best approach for their respective teams, whether that be remote, in person, or a little of both.

Material Bank is proud to be an equal opportunity employer. We value diversity, and all applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, age, national origin, veteran or disability status or other status protected under any applicable federal, state or local law.