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Artificial Intelligence Operator information

What is an artificial intelligence operator?

An Artificial Intelligence Operator is a professional responsible for managing, monitoring, and maintaining AI systems and applications. They ensure that AI models perform as expected, troubleshoot issues, and optimize the deployment of AI solutions in various environments. Their role often involves working with data scientists, software engineers, and IT specialists to oversee the lifecycle of AI technologies, including updates, scaling, and compliance. Artificial Intelligence Operators play a crucial role in bridging the gap between AI development and practical, reliable operation in real-world settings.

What are the key skills and qualifications needed to thrive as an artificial intelligence operator?

To thrive as an Artificial Intelligence Operator, you need a solid understanding of computer science fundamentals, data analysis, and AI concepts, typically supported by a relevant degree or technical training. Familiarity with AI platforms, machine learning frameworks (such as TensorFlow or PyTorch), and data management systems is essential, along with certifications in AI or cloud technologies being advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help operators adapt to rapidly changing technologies and collaborate with diverse teams. These skills ensure effective deployment, monitoring, and optimization of AI systems, enabling organizations to leverage AI solutions reliably and ethically.

What are some common challenges faced by artificial intelligence operators when maintaining AI systems in a production environment?

Artificial Intelligence Operators often encounter challenges such as monitoring model performance, detecting data drift, and responding to unexpected system behaviors in real time. They must balance ensuring system uptime with the need to troubleshoot and optimize models as data and business needs evolve. Collaboration with data scientists, engineers, and IT staff is essential to quickly resolve incidents and implement updates or patches. Staying current with best practices in model deployment and ethical AI use also presents an ongoing learning curve.

What is the difference between Artificial Intelligence Operator vs Data Analyst?

AspectArtificial Intelligence OperatorData Analyst
Required CredentialsRelevant certifications in AI, machine learning, or data science; often a degree in computer science or related fieldDegree in statistics, mathematics, or related field; certifications in data analysis tools
Work EnvironmentTech companies, AI development labs, or data-driven organizations; working with AI models and algorithmsBusiness environments, research firms, or consulting; analyzing datasets and generating reports
Employer & Industry UsagePrimarily in AI and tech industries, focusing on AI system operation and maintenanceAcross various industries including finance, marketing, healthcare, focusing on data interpretation

While both roles involve working with data, Artificial Intelligence Operators focus on managing and maintaining AI systems, whereas Data Analysts interpret data to inform business decisions. The roles often overlap in skills but differ in their primary focus and tools used.

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Artificial Intelligence Operator jobs near you

Manager, Artificial Intelligence Governance

Sutter Health

San Francisco, CA • Hybrid

$177K - $266K/yr

Full-time

Posted 24 days ago

Sutter Health rating

8.2

Company rating: 8.2 out of 10

Based on 327 frontline employees who took The Breakroom Quiz

55th of 891 rated healthcare providers

Job description

We are so glad you are interested in joining Sutter Health!

Organization:

SHSO-Sutter Health System Office-Valley

Position Overview:

Leads Sutter Health's artificial intelligence (AI) governance program. Sets the target operating model, policy framework, and program priorities that shape how AI governance is performed at Sutter Health and how it evolves within a rapidly changing regulatory, technical, and organizational landscape. Leads a team of AI governance analysts and operates the program directly alongside them - leading high-complexity reviews, drafting policy and standards, and making day-to-day prioritization decisions across a high-volume queue of AI use cases. Convenes and aligns the many groups that must participate in AI governance and partners closely with data science and applied AI leadership to integrate governance requirements across the model development and monitoring lifecycle.

Job Description:

****Please Note: While this position is listed as hybrid, regular in-office attendance is required. Candidates should be prepared to commute to the office on a consistent basis to support team collaboration and business needs.****

EDUCATION:
Equivalent experience will be accepted in lieu of the required degree or diploma.

  • Bachelor's degree in Health Informatics, Computer Science, Information Management, Public Health, Health Administration, Law, or related field.

TYPICAL EXPERIENCE:

  • 5 recent relevant experience

SKILLS AND KNOWLEDGE:

  • Experience in healthcare data governance, AI/ML governance, model risk management, or regulatory compliance.

  • Experience leading or coordinating cross-functional governance, risk, or compliance programs.

  • Direct experience supporting AI/ML or advanced analytics programs.

  • Strong organization and prioritization skills across a large, varied portfolio of work and competing demands.

  • Demonstrated ability to convene, align, and drive decisions among diverse stakeholder groups, including clinical, technical, legal, privacy, security, compliance, and operational.

  • Working knowledge of machine learning and generative AI concepts, the model development lifecycle, and common failure modes (bias, drift, hallucination, data leakage).

  • Possess an understanding of technical concepts related to AI observability, including performance instrumentation for deployed models; familiarity with advanced monitoring techniques such as Large Language Model (LLM)-as-a-judge evaluation, automated output quality assessment, and monitoring of agentic AI workflows, including tool use, multi-step reasoning, and autonomous decision chains.

  • Familiarity with AI governance frameworks (National Institute of Standards and Technology Artificial Intelligence Risk Management Framework [NIST AI RMF], Coalition for Health AI [CHAI] Assurance Standards, International Organization for Standardization/International Electrotechnical Commission [ISO/IEC] 42001), healthcare regulations (Health Insurance Portability and Accountability Act [HIPAA], Food and Drug Administration [FDA] Software as a Medical Device [SaMD] guidance, Office of the National Coordinator for Health Information Technology [ONC] Health Data, Technology, and Interoperability [HTI-1] rule), and emerging state-level AI regulation.

  • Demonstrated ability to design and operate governance processes that are practical, auditable, and minimize friction for delivery teams.

  • Strong facilitation and written communication; able to lead committees and translate complex AI risk concepts for executive, clinical, and front-line audiences.

  • Demonstrated ability to manage team capacity, prioritization, and delivery across a high-volume, multi-stakeholder portfolio.

  • Experience coaching and developing staff in both technical and governance/regulatory domains.

These Principal Accountabilities, Requirements and Qualifications are not exhaustive but are merely the most descriptive of the current job. Management reserves the right to revise the job description or require that other tasks be performed when the circumstances of the job change (for example, emergencies, staff changes, workload, or technical development).

Job Shift:

Days

Schedule:

Full Time

Days of the Week:

Monday - Friday

Weekend Requirements:

None

Benefits:

Yes

Unions:

No

Position Status:

Exempt

Weekly Hours:

40

Employee Status:

Regular

Sutter Health is an equal opportunity employer EOE/M/F/Disability/Veterans.

Pay Range is $156,332.80 to $234,478.40 / annual salary. Bay Area - San Francisco Pay Range is $177,632.00 to $266,448.00 / annual salary.

The compensation range may vary based on the geographic location where the position is filled. Total compensation considers multiple factors, including, but not limited to a candidate's experience, education, skills, licensure, certifications, departmental equity, training, and organizational needs. Base pay is only one component of Sutter Health's comprehensive total rewards program. Eligible positions also include a comprehensive benefits package.

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