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Technology Analyst ; Artificial Intelligence - SP

Job in New York, New York County, New York, 10261, USA
Listing for: NYS Office of Information Technology Services
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 96336 USD Yearly USD 96336.00 YEAR
Job Description & How to Apply Below
Position: Technology Analyst 2 (Artificial Intelligence) - SP08
Location: New York

Technology Analyst 2 (Artificial Intelligence) - SP08

Join to apply for the Technology Analyst 2 (Artificial Intelligence) - SP08 role at NYS Office of Information Technology Services

NYS Office of Information Technology Services provided pay range

This range is provided by NYS Office of Information Technology Services. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$96,336.00/yr - $/yr

Description

The New York State Office of Information Technology Services (ITS) provides operational support 24 hours a day, 7 days a week, 365 days of the year, supporting more than 4,900 applications for 53 New York State Agencies. Under the direction of the Information Technology Architect 2, the Technology Analyst 2 (Artificial Intelligence) will be responsible for designing and overseeing the implementation of secure and efficient Artificial Intelligence (AI) systems to meet client agency business needs.

The position will collaborate with business managers and IT professionals to understand business requirements and translate them into technical specifications, ensuring the successful execution of IT projects. This position may directly supervise a team of Technology Analyst 1’s (Artificial Intelligence).

Duties Include, But Are Not Limited To, The Following
  • Collect and analyze large sets of data to determine useful patterns and trends.
  • Design and implement machine learning models and AI algorithms.
  • Enhance existing AI systems and create new solutions based on business needs.
  • Coordinate with other team members to integrate AI models into company platforms and services.
  • Maintain updated knowledge on the latest AI trends and technologies.
  • Prepare detailed reports on AI project progress and performance.
  • Identify opportunities to leverage AI technology to improve business processes.
  • Collaborate with data engineers, software developers, and other IT professionals to ensure proper implementation of AI models.
  • Perform regular testing and debugging of AI systems to ensure optimal performance.
  • Resolve complex technical issues related to AI implementation and performance.
  • This position may perform the full range of supervisory duties.
Qualifications

Minimum Qualifications

Six (6) years of information technology experience, two (2) years of which must be within the discipline of artificial intelligence.

Substitutions
  • Associate’s degree with 15 semester credit hours in computer science or a related field substitutes for one year of general information technology experience.
  • Candidates in a bachelor’s degree program with at least 15 semester credit hours in computer science or a related field can substitute for one year of general information technology experience.
  • Bachelor’s degree in any field including or supplemented by fifteen (15) semester credit hours in computer science or a related field substitutes for three years substitutes for three (3) years of general information technology experience.
  • Bachelor’s degree in any field substitutes for two (2) years of general information technology experience.
  • Master’s degree or higher in computer science or related field substitutes for one year of general information technology experience.
Preferred Qualifications
  • Preference for candidates holding relevant certification, in artificial intelligence, machine learning, or data science, such as those offered by IBM, Google, and Microsoft.
  • Deep understanding of artificial intelligence and machine learning algorithms, and deep learning methodologies to design and build AI models.
  • Comprehensive understanding of data mining, structures, and modeling, and software architecture to effectively analyze and manage client agencies’ artificial intelligence strategy.
  • Strong problem-solving skills to identify, troubleshoot and resolve issues that may arise during the design, testing, and maintenance of AI models and systems.
  • Exceptional analytical skills to evaluate artificial intelligence system requirements and make recommendations for improvements and optimization.
  • Excellent communication skills to explain complex AI concepts to team members, stakeholders, and clients in a clear and…
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