IT Solutions Engineer​/Analyst II | Palo Verde

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.

• 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

• 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

• Bachelor’s degree in Information Technology or related field
• Plus two (2) years of prior relevant experience or an 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, Economics, Mathematics or Engineering with a focus in Data Science (required)
• Requires basic technical subject matter knowledge within a job area or system

• Knowledge of Python, including experience with libraries and frameworks relevant to ML/GenAI application development (e.g., Lang Chain)
• Knowledge of API development frameworks (e.g., Django, Flask, FastAPI) and web standards relating to API development (e.g., CORS, OpenAPI)
• Experience with modern web development frameworks and languages, including React, Typescript, and Node.js, building and maintaining front‑end and back‑end applications
• Familiarity 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 AI/ML field

• Support the development of full‑stack solutions for ML/GenAI applications, integrating both front‑end and back‑end components to deliver robust and scalable solutions
• Work closely with AI/Machine Learning Engineers to develop prototypes that solve business…