ZipRecruiter

Log In

1

Nursing In Ai Jobs (NOW HIRING)

CNA

Principal AI Engineer

Chicago, IL · On-site

At CNA, we strive to create a culture in which people know they matter and are part of something ... This role operates at the intersection of AI systems engineering, developer experience, and ...

Cna

Principal AI Engineer

Chicago, IL

At CNA, we strive to create a culture in which people know they matter and are part of something ... This position has a deep understanding of AI engineering platforms, large language model (LLM ...

CNA

Principal AI Engineer

Chicago, IL · On-site

At CNA, we strive to create a culture in which people know they matter and are part of something ... This position has a deep understanding of AI engineering platforms, large language model (LLM ...

Cna

Senior AI Engineer - Guidewire

Chicago, IL

$126K - $166K/yr

At CNA, we strive to create a culture in which people know they matter and are part of something ... Define and drive the AI-first engineering vision and strategy across development teams, promoting ...

next page

Showing results 1-20

All JobsNursing In Ai Jobs

Nursing In Ai information

See salary details

$55.5K

$108.7K

$170.5K

How much do nursing in ai jobs pay per year?

As of Jul 14, 2026, the average yearly pay for nursing in ai in the United States is $108,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What does an AI nurse do?

An AI nurse uses artificial intelligence tools and data analysis to assist with patient care, monitor health conditions, and support clinical decision-making. They may work with electronic health records, telehealth platforms, and health analytics software to improve patient outcomes and streamline workflows.

Can AI take nurses jobs?

AI can assist nurses by automating routine tasks such as data entry, patient monitoring, and scheduling, which can improve efficiency. However, it is unlikely to replace nurses entirely, as their role involves complex decision-making, patient interaction, and critical thinking that require human judgment and empathy.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director or senior data scientist, often requiring advanced skills in machine learning, deep learning, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in technology companies or healthcare sectors utilizing AI in medical applications like nursing informatics. Compensation at this level reflects expertise, responsibility, and the impact of AI solutions in the organization.

What is the difference between Nursing In Ai vs Nursing Assistant?

AspectNursing In AiNursing Assistant
CertificationsRegistered Nurse (RN) license, specialized training in AI toolsCertified Nursing Assistant (CNA) certification
Work EnvironmentHospitals, clinics, healthcare facilities integrating AI technologyLong-term care facilities, hospitals, nursing homes
Employer & Industry UsageHealthcare providers utilizing AI for patient managementTraditional healthcare settings providing basic patient care
Job FocusCombining nursing skills with AI technology to improve patient outcomesAssisting with daily patient care and basic medical tasks

In summary, Nursing In Ai involves registered nurses who leverage AI technology to enhance patient care, requiring advanced certifications. Nursing Assistants provide fundamental patient support in traditional healthcare settings. The roles differ mainly in their scope, technology use, and required credentials.

How to work in AI as a nurse?

Nurses interested in working in AI can develop skills in data analysis, programming, and healthcare technology, often through additional training or certifications in informatics or data science. Gaining experience with electronic health records (EHR) systems and understanding AI applications in healthcare can enhance job prospects in this field.
More about Nursing In Ai jobs
What cities are hiring for Nursing In Ai jobs? Cities with the most Nursing In Ai job openings:
What states have the most Nursing In Ai jobs? States with the most job openings for Nursing In Ai jobs include:
What job categories do people searching Nursing In Ai jobs look for? The top searched job categories for Nursing In Ai jobs are:
Nursing In Ai jobs near you
Infographic showing various Nursing In Ai job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $108,675 per year, or $52.2 per hour.
Principal AI Engineer

Principal AI Engineer

CNA

Chicago, IL • On-site

Full-time

Posted 29 days ago

Job description

You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.
Individual contributor providing the highest level of technical leadership in the design, development, and scaling of CNA's AI-native agentic engineering platform. This role operates at the intersection of AI systems engineering, developer experience, and software delivery - building the foundational platform capabilities that enable the broad engineering organization to build, ship, and run high-quality, secure AI-native systems at the speed of AI. The focus is on designing and delivering agentic workflows, AI-augmented CI/CD pipelines, reusable skills and agent frameworks, and quality/security guardrails that make AI-accelerated delivery safe and scalable across the enterprise.
JOB DESCRIPTION:
Essential Duties & Responsibilities
Performs a combination of duties in accordance with departmental guidelines:
  • Acts as one of principal engineers for CNA's AI-native engineering platform, designing the end-to-end system spanning agentic coding workflows, skills and agent marketplaces, AI-augmented CI/CD pipelines, automated quality gates, and rapid environment provisioning. Leads integration of AI tooling (Claude Code, Cursor, GitHub Copilot) into the software delivery lifecycle, ensuring these capabilities compose into a coherent, governed platform.

  • Designs and builds the agentic infrastructure layer - including multi-agent orchestration patterns, sub-agent frameworks, skill authoring standards, and context engineering best practices - that enables engineering teams to operate at AI-native speed without sacrificing architectural integrity or security posture.

  • Provides expert technical consultation to engineering leadership, portfolio teams, and architecture on how to adopt AI-native development practices, evaluate AI-generated code quality, and integrate agentic tooling into existing workflows. Advises on trade-offs between speed and quality, human-in-the-loop requirements, and appropriate levels of AI autonomy for different risk profiles (e.g., Sox-classified systems vs. rapid prototyping).

  • Leads the technical strategy and implementation for engineering metrics platform. Consult with senior tech leadership stakeholders to provide insights in data-driven decision making.

  • Acts as the senior technical resource mentoring engineers across the organization in AI-native engineering practices - including agentic coding patterns, context engineering, prompt-to-code workflows, and AI-assisted testing - raising the floor of capability so teams become self-sustaining without ongoing coaching dependency.

  • Researches, evaluates, and recommends AI engineering tools, frameworks, and infrastructure (e.g., eval platforms, agent orchestration systems, environment provisioning automation) aligned with CNA's strategic direction. Leads build-vs-buy analysis for platform capabilities such as CI/CD tooling, sandbox provisioning, and LLM evaluation infrastructure.

  • Partners closely with Architecture, Security, Cloud Engineering, and Data teams to ensure the AI engineering platform integrates with enterprise infrastructure (GCP/GKE, GitHub, JFrog Artifactory), meets regulatory and compliance requirements (AI model tracking, Sox controls), and scales to support hundreds of engineers and AI pod teams across all portfolios.

May perform additional duties as assigned.
Reporting Relationship
Typically Director or above
Skills, Knowledge & Abilities
  • Expert knowledge in AI-native software engineering practices including agentic coding workflows (Claude Code, Cursor, GitHub Copilot), prompt and context engineering, multi-agent orchestration, MCP protocol, and skill/agent authoring patterns.

  • Deep understanding of the modern software delivery lifecycle with specific expertise in how AI transforms each phase - from AI-assisted requirements and design through agentic code generation, automated testing, AI-augmented code review, and continuous deployment.

  • Proficient in building and operating CI/CD platforms (GitHub Actions or equivalent), infrastructure-as-code (Terraform), container orchestration (GKE/Kubernetes), and cloud platforms (GCP), with the ability to design pipelines that enforce quality and security gates without creating delivery bottlenecks.

  • Strong knowledge of application security engineering including supply chain security, artifact management and curation, static/dynamic analysis, secret management, and the specific attack vectors introduced by AI-generated code (dependency hallucination, model drift, prompt injection).

  • Demonstrated ability to design developer platforms and tooling that serve hundreds of engineers at varying skill levels - balancing power-user capability with guardrails that prevent misuse and maintain code quality at scale.

  • Proven ability to evaluate and integrate emerging AI technologies rapidly, with the judgment to distinguish between hype and production-ready capability. Comfortable operating in a fast-moving domain where the tooling landscape changes weekly.

  • Excellent communication skills with the ability to translate complex AI engineering concepts for both technical and non-technical audiences. Able to influence engineering culture and drive adoption of new practices across a large, diverse organization including internal teams and managed service providers.

  • Strong analytical and problem-solving skills with an outcomes-oriented mindset - focused on measurable improvements in delivery speed, code quality, and engineering productivity rather than tooling adoption metrics.

Education & Experience
  • Bachelor's Degree with Master's preferred in Computer Science, AI/ML, or related discipline, or equivalent work experience.

  • Minimum of 9 years of solid, diverse work experience in software engineering with a minimum of 6 years in application development, including significant recent experience (2+ years) building or operating AI-augmented development tools, agentic systems, or developer platforms.

  • Demonstrated hands-on experience with LLM-based engineering tools (Claude Code, Cursor, GitHub Copilot, or equivalent) in production engineering workflows, not just experimental use.

  • Experience in designing and scaling inner-source or platform engineering programs across large engineering organizations preferred.

  • Applicable certifications in cloud platforms (GCP, AWS), AI/ML, or security preferred.

#LI-KJ1 #LI-HYBRID
In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $97,000 to $189,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees - and their family members - achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA's benefits, please visit cnabenefits.com.
CNA utilizes AI-enabled technology during the recruiting process. For more information, please visit our careers page.
CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact leaveadministration@cna.com

Apply