Job Description

Our present and future success depends on the creative and dedicated people of our company who demonstrate the principles outlined in the APS Promise: Design for Tomorrow, Empower Each Other and Succeed Together.

IT Solutions Engineer / Analyst II | Palo Verde

This role helps APS turn advanced AI and machine learning concepts into tools that teams can actually use. The IT Solutions Engineer / Analyst II works alongside AI and Machine Learning Engineers to translate models and ideas into reliable, usable applications that improve how work gets done across the company. By building the supporting software and integration layers around AI solutions, this role helps modernize workflows and supports APS’s mission to deliver reliable, affordable energy to Arizona communities.

What Your Day Would Be Like:

• Building and supporting backend and front‑end software components that enable AI and machine learning solutions to be used by employees and customers
• Partnering closely with AI/Machine Learning Engineers to turn models and concepts into functional applications and prototypes
• Translating business needs into practical, working solutions that can be tested, refined, and improved
• Integrating AI capabilities into existing systems, tools, and workflows to improve usability and adoption
• Sharing feedback, insights, and lessons learned with cross‑functional teams to help shape future solutions

Who We’re Looking For:

• Experience supporting or developing software applications that integrate machine learning or generative AI capabilities
• Comfort working across the application lifecycle—from early concepts and prototypes through refinement and support
• Strong collaboration skills and the ability to work effectively with AI/ML engineers and other technical partners
• Curiosity and adaptability when learning new tools, platforms, and development approaches
• A practical, outcome‑focused mindset with attention to business impact and usability

Minimum Requirements

IT Solutions Engineer / Analyst II | Palo Verde

• Bachelors' degree in Information Technology or related field
• PLUS two (2) years of prior relevant experience or equivalent combination of education and directly related experience
• OR (for positions in IT Digital Solutions Delivery) an advanced degree in Data Science, Data/Quantitative/Business Analytics or Economics, Mathematics or Engineering with a focus in Data Science is required.-
• Requires basic technical subject matter knowledge within a job area or system

Preferred Special Skills, Knowledge or Qualifications:

• Knowledge of Python including experience with libraries and frameworks relevant to ML/GenAI application development (e.g., LangChain)
• Knowledge of API development frameworks (e.g., Django, Flask, FastAPI) and knowledge of web standards relating to API development (e.g., CORS, OpenAPI)
• Experience with modern web development frameworks and languages, including React, Typescript, and Node.js with experience building and maintaining front-end and backendapplications
• Familiarity working with production-grade vector databases (e.g., pgvector, Chroma, or Milvus) for efficient storage and retrieval of embeddings
• Familiarity with relational databases
• Solid understanding of modern software development practices
• Familiarity with container technologies (Docker, Kubernetes)
• Ability to work with unit tests, integration tests and common Python testing frameworks
• Strong analytical skills, and a creative mindset to effectively define problems and explore solutions
• Well-developed and professional interpersonal skills; ability to interact effectively with people at all organizational levels
• Ability to work in a team environment with a customer-service focus
• Strong communication skills, both written and verbal
• Organizational skills needed to manage time well, prioritize effectively, and handle multiple deadlines
• Ability to handle confidential and sensitive information with the appropriate discretion
• Ability to continually learn and grow in the AL/ML field
  
  Nuclear requirement: Any PVNGS employee may be called upon to serve as a member of the Emergency Response
  Organization (ERO) and will be expected to fulfill their obligation as an ERO member.
  Any PVNGS employee may be called upon to support a refueling or short-notice outage.
  This includes line roles and responsibilities as necessary to execute outage activities.
  These are a condition of employment at PVNGS.

Major Accountabilities

1) Support the development of full-stack solutions for ML/GenAI applications, integrating both frontend and backend components to deliver robust and scalable solutions
2) Work closely with AI/Machine Learning Engineers to develop prototypes that solve business requirements
3) Contribute to the ideation and development of solutions; collaborate with AI/ML Engineers to transition prototypes into production
4) Code, test, and debug application systems per specifications
5) Prepare appropriate system and user documentation
6) Analyzes and resolves development issues in a timely manner
7) Conducts analysis of codes and develops/ deploys defect fixes in engineering processes
8) Proactively assists internal clients with technical issues related to solution implementation

9) Stays up to date with the latest industry trends and technologies to help foster innovation

Export Compliance / EEO Statement

This position may require access to and/or use of information subject to control under the Department of Energy's Part 810 Regulations (10 CFR Part 810), the Export Administration Regulations (EAR) (15 CFR Parts 730 through 774), or the International Traffic in Arms Regulations (ITAR) (22 CFR Chapter I, Subchapter M Part 120) (collectively, 'U.S. Export Control Laws'). Therefore, some positions may require applicants to be a U.S. person, which is defined as a U.S. Citizen, a U.S. Lawful Permanent Resident (i.e. 'Green Card Holder'), a Political Asylee, or a Refugee under the U.S. Export Control Laws. All applicants will be required to confirm their U.S. person or non-US person status. All information collected in this regard will only be used to ensure compliance with U.S. Export Control Laws, and will be used in full compliance with all applicable laws prohibiting discrimination on the basis of national origin and other factors. For positions at Palo Verde Nuclear Generating Stations (PVNGS) all openings will require applicants to be a U.S. person.

Pinnacle West Capital Corporation and its subsidiaries and affiliates ('Pinnacle West') maintain a continuing policy of nondiscrimination in employment. It is our policy to provide equal opportunity in all phases of the employment process and in compliance with applicable federal, state, and local laws and regulations. This policy of nondiscrimination shall include, but not be limited to, recruiting, hiring, promoting, compensating, reassigning, demoting, transferring, laying off, recalling, terminating employment, and training for all positions without regard to race, color, religion, disability, age, national origin, gender, gender identity, sexual orientation, marital status, protected veteran status, or any other classification or characteristic protected by law.
For more information on applicable equal employment regulations, please refer to EEO is the Law poster. Federal law requires all employers to verify the identity and employment eligibility of every person hired to work in the United States, refer to E-Verify poster. View the employee rights and responsibilities under the Family and Medical Leave Act (FMLA). Arizona Public Service is a smoke free workplace.

Hybrid: Employees in hybrid roles work both in their home offices (virtually) and alongside their colleagues (in person).

In order for employees to build strong relationships and to promote meaningful in-person interactions, hybrid employees are expected to work about 40% of their time in-person at an APS or other (non-home office) location.

• Employees are expected to reside in Arizona (or New Mexico for Four Corners-based employees).
• Working from a home office requires adequate technology and an appropriate ergonomic set up.
• Role types are subject to change based on business need.