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Cognitive Computing Jobs (NOW HIRING)

Lee Health

Cloud Engineer - Azure

Fort Myers, FL · On-site +1

$78K - $101K/yr

Collaborating with IT, AI, and data science teams, you'll play a pivotal role in building and optimizing cloud environments for artificial intelligence, machine learning, and cognitive computing ...

IBM

Senior Data Scientist

Boston, MA · On-site

$87.01 - $127.18/hr

Collaborate with senior team members to define cognitive computing strategies and guide the full AI project lifecycle * Conduct in-depth exploratory data analysis, feature engineering, and model ...

Sutherland

Director - Research

Rochester, NY · On-site

ModelBoT - Sutherland's first Cognitive Computing Solution * Elevate.ai - first of its kind Digital Experience Platform . Conversational AI + interactive surveys that provide and rich Consumer ...

Sutherland

Director - Research

Rochester, NY · On-site +1

ModelBoT - Sutherland's first Cognitive Computing Solution * Elevate.ai - first of its kind Digital Experience Platform . Conversational AI + interactive surveys that provide and rich Consumer ...

Sutherland Global

Director - Research

Rochester, NY · On-site

$134.54 - $201.80/hr

ModelBoT - Sutherland's first Cognitive Computing Solution * Elevate.ai - first of its kind Digital Experience Platform . Conversational AI + interactive surveys that provide and rich Consumer ...

Deloitte

Design and develop predictive analytics models, text analytics solutions, and cognitive computing frameworks to detect anomalies and hidden patterns * Build and maintain interactive dashboards to ...

FUJIFILM Biotechnologies

Artificial Intelligence and Machine Learning, Cognitive Computing and Intelligent Systems.Cloud Platforms Expertise including Cloud-Hosted Web Solutions, Cloud Infrastructure and Services, Cloud ...

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Cognitive Computing information

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How much do cognitive computing jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for cognitive computing in the United States is $53.43, according to ZipRecruiter salary data. Most workers in this role earn between $27.64 and $66.59 per hour, depending on experience, location, and employer.

What is the difference between Cognitive Computing vs Data Scientist?

AspectCognitive ComputingData Scientist
Required CredentialsTypically degrees in computer science, AI, or related fields; certifications in AI or machine learningDegrees in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentAI labs, tech companies, research institutionsBusiness analytics teams, tech firms, consulting agencies
Industry UsageDeveloping AI systems that simulate human thoughtAnalyzing data to extract insights and inform decisions

While both roles involve advanced technical skills, Cognitive Computing focuses on creating AI systems that mimic human cognition, whereas Data Scientists analyze data to generate insights. The roles often overlap in AI and tech industries but serve different primary functions.

How does a cognitive computing specialist typically collaborate with data scientists and software engineers in project teams?

Cognitive computing specialists often work closely with data scientists and software engineers to design, build, and deploy intelligent systems. They contribute expertise in machine learning, natural language processing, and reasoning algorithms, while data scientists focus on preparing and analyzing data, and software engineers handle system integration and deployment. Effective collaboration is essential, as projects usually require regular meetings, knowledge sharing, and joint problem-solving to ensure the cognitive solution aligns with business objectives and technical requirements.

What are the key skills and qualifications needed to thrive as a cognitive computing specialist, and why are they important?

To thrive as a Cognitive Computing Specialist, you need a solid background in computer science, artificial intelligence, and machine learning, often supported by a relevant degree or certifications. Familiarity with programming languages like Python, data analysis tools, cloud computing platforms, and AI frameworks such as TensorFlow or IBM Watson is typically required. Critical thinking, creativity, and strong communication skills help you design innovative solutions and collaborate with multidisciplinary teams. These abilities are essential for developing intelligent systems that solve complex problems and drive business value.

What is cognitive computing?

Cognitive computing refers to technology that simulates human thought processes using artificial intelligence, machine learning, and natural language processing. It enables systems to analyze data, recognize patterns, and make decisions, often used in fields like data analysis, automation, and AI development for enhanced problem-solving capabilities.
More about Cognitive Computing jobs
What are the most commonly searched types of Cognitive Computing jobs? The most popular types of Cognitive Computing jobs are:
What states have the most Cognitive Computing jobs? States with the most job openings for Cognitive Computing jobs include:
What job categories do people searching Cognitive Computing jobs look for? The top searched job categories for Cognitive Computing jobs are:
Cognitive Computing jobs near you
Infographic showing various Cognitive Computing job openings in the United States as of August 2026, with employment types broken down into 4% As Needed, 70% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $111,126 per year, or $53.4 per hour.

Cloud Engineer - Azure

Lee Health

Fort Myers, FL • On-site, Remote

$78K - $101K/yr

Full-time

Re-posted 10 days ago

Lee Health rating

7.0

Company rating: 7.0 out of 10

Based on 198 frontline employees who took The Breakroom Quiz

416th of 887 rated healthcare providers

Job description

Location: Remote - Florida
Department: IS Information Technology Svcs
Work Type: Full Time
Shift: Shift 1/8:00:00 AM to 4:30:00 PM
Minimum to Midpoint Pay Rate: $78,457.60 - 101,982.40 / Annual
Summary
Lee Health is seeking an innovative Cloud Engineer to design, build, and maintain secure, scalable, and high-performing cloud systems that power our digital and AI transformation. In this role, you'll architect and manage cloud infrastructure across private, public, and hybrid environments-enabling advanced data management, automation, and application deployment. Collaborating with IT, AI, and data science teams, you'll play a pivotal role in building and optimizing cloud environments for artificial intelligence, machine learning, and cognitive computing initiatives.
If you're passionate about driving innovation through cloud engineering and emerging technologies, this is an exceptional opportunity to shape the next generation of healthcare technology.
What You'll Do
  • Design & Build: Develop scalable, secure, and cost-effective cloud architectures using AWS, Azure, or GCP.
  • Migrate & Modernize: Lead cloud migration projects for data, systems, and applications while ensuring minimal disruption.
  • Automate & Optimize: Implement Infrastructure-as-Code (IaC), automate deployment pipelines, and streamline configuration management.
  • Innovate with AI: Partner with data science and AI teams to develop infrastructure for AI/ML experimentation and production deployment.
  • Ensure Compliance & Security: Maintain adherence to data privacy standards, IAM, encryption, and regulatory compliance (HIPAA, HITRUST).
  • Monitor & Improve: Oversee cloud utilization, troubleshoot performance issues, and develop disaster recovery strategies.
  • Collaborate & Lead: Act as a bridge between development and infrastructure teams, fostering a DevSecOps culture and continuous improvement mindset.
Qualifications
Education:
  • Bachelor's degree in Computer Science, Engineering, or related field required.
  • Master's degree in Computer Science, Machine Learning, or related discipline preferred.

Experience:
  • 2+ years designing, building, and supporting private or hybrid cloud environments.
  • Proven experience with DevOps and automation (IaC, CI/CD, scripting in PowerShell, Python, or Shell).
  • Strong grasp of cloud security, IAM, networking, and monitoring tools.
  • Working knowledge of machine learning frameworks (TensorFlow, PyTorch) and data engineering concepts.
  • Experience supporting AI/ML model deployment, fine-tuning, or integration is a plus.
  • Familiarity with healthcare data standards (HIPAA, HL7, FHIR) preferred.

Certifications (one or more required):
  • Microsoft Certified Azure AI Fundamentals or AI Engineer Associate
  • AWS Certified Machine Learning Engineer
  • Microsoft Azure Security Certification

Preferred Certifications:
  • HITRUST Practitioner, NIST AI RMF Architect, or Artificial Intelligence Engineer Certification
Why Join Lee Health
At Lee Health, innovation meets compassion. As we advance our journey toward smarter, data-driven healthcare, you'll have the opportunity to work with emerging technologies, contribute to transformative AI initiatives, and make a lasting impact on patient care. Join a health system recognized for excellence, collaboration, and continuous learning.

What Lee Health employees say

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Hours and flexibility

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About Lee Health

Sourced by ZipRecruiter

Lee Health is one of the largest public health systems in the U.S. and one of the largest not-for-profit public health systems in Florida. With 4 acute care hospitals; Lee Memorial, Healthpark Medical Center, Cape Coral Hospital and Gulf Coast Medical Center, two specialty hospitals; Gaisano Children's Hospital and The Rehab Hospital. Lee Physician Group with over 80 practices throughout Southwest Florida, a Regional Cancer Center, seven outpatient centers, three walk-in clinics and two pediatric outpatient facilities. HEALTHGRADES ranks Lee Healths four acute care hospitals in the top 5% in the nation for overall clinical excellence in 2019, 2020, 2021 AND 2022 and is included in America's 250 Best Hospitals

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Fort Myers, FL, US

Year founded

1916

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