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Engineering Manager Transformer Jobs in Arizona (NOW HIRING)

Power Solutions Manager

Phoenix, AZ · On-site +1

$124K - $154K/yr

The Power Solutions Manager is responsible for the promotion and technical sales support of Generac ... Identifies, educates, and transforms key engineering firms in understanding the MPS paralleling ...

Be Seen First

We're looking for a highly skilled Manufacturing Engineer / CNC Programmer who thrives in a fast-paced New Product Introduction (NPI) environment and has the technical expertise to transform ...

Director of Engineering

Tucson, AZ · On-site

$170K - $190K/yr

... transform complex mission data into decision-ready insights when and where they matter most. Ondas ... This role partners closely with Program Management, Operations, Manufacturing, Business Development ...

Director of Engineering

Tucson, AZ · On-site

$170 - $190/hr

... transform complex mission data into decision-ready insights when and where they matter most. Ondas ... This role partners closely with Program Management, Operations, Manufacturing, Business Development ...

... transform complex mission data into decision-ready insights when and where they matter most. Ondas ... This role partners closely with Program Management, Operations, Manufacturing, Business Development ...

... transform complex mission data into decision-ready insights when and where they matter most. Ondas ... This role partners closely with Program Management, Operations, Manufacturing, Business Development ...

Data Solutions Engineer II

Scottsdale, AZ · On-site +1

$115K - $138K/yr

Data Solutions Engineering Manager Direct Reports: 0 * Develop and maintain pipelines on Axon ... Data-mapping project experience for ETL (Extract, Transform, Load) * Familiarity with cloud ...

They play a crucial role in transforming raw data into actionable insights, enabling informed ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Showing results 41-60

Engineering Manager Transformer information

What is the difference between Engineering Manager Transformer vs Data Engineer?

AspectEngineering Manager TransformerData Engineer
Required CredentialsBachelor's/Master's in Engineering, Computer Science; leadership experienceBachelor's in Computer Science, Data Science, or related field; technical skills in data systems
Work EnvironmentLeading teams, project management, cross-department collaborationBuilding and maintaining data pipelines, data modeling, database management
Employer & Industry UsageTech companies, AI/ML firms, organizations deploying Transformer modelsData-driven companies, analytics firms, AI/ML organizations

While both roles involve technical expertise, the Engineering Manager Transformer focuses on leading teams developing Transformer-based AI models, whereas Data Engineers build and maintain the data infrastructure supporting such models. The former emphasizes leadership and project management, while the latter concentrates on data pipeline development.

What are the key skills and qualifications needed to thrive as an engineering manager transformer?

To excel as an Engineering Manager Transformer, you need a deep understanding of electrical engineering principles, transformer design, and manufacturing processes, usually backed by a bachelor’s or master’s degree in electrical engineering. Familiarity with CAD software, power system analysis tools, and industry standards such as IEEE or IEC, along with relevant certifications like Professional Engineer (PE), is highly valuable. Strong leadership, problem-solving abilities, and effective communication distinguish top performers in this role. These competencies are crucial for ensuring technical excellence, team productivity, and the successful delivery of complex transformer projects.

What is an engineering manager transformer?

An Engineering Manager Transformer is a leadership position focused on managing teams that develop, implement, and maintain transformer models, which are a type of machine learning model commonly used in natural language processing and other AI applications. This role combines technical expertise in transformer architectures with management responsibilities such as team coordination, project oversight, and mentoring engineers. Engineering Manager Transformers play a crucial role in setting technical direction, ensuring best practices, and facilitating collaboration across cross-functional teams. Their work impacts the successful deployment of large-scale AI solutions and helps organizations stay at the forefront of machine learning innovation.

What are some typical challenges an engineering manager transformer faces when leading cross-functional teams?

Engineering Manager Transformers often navigate complex project requirements that require close collaboration between electrical, mechanical, and software engineering teams. One common challenge is aligning diverse technical perspectives and ensuring effective communication to meet project deadlines. Additionally, balancing resource allocation while maintaining high standards for safety and compliance can be demanding. Successful managers foster a collaborative environment and proactively address any knowledge gaps within the team to deliver high-quality transformer solutions.

What cities in Arizona are hiring for Engineering Manager Transformer jobs?

Cities in Arizona with the most Engineering Manager Transformer job openings:

Infographic showing various Engineering Manager Transformer job openings in Arizona as of July 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 91% In-person, and 9% Remote job distribution.

Senior Manager, Software Engineering - AI Innovation

Choice Hotels International

Scottsdale, AZ • On-site

Full-time

Re-posted 16 days ago


Job description

Job Summary:
Choice Hotels International, one of the world’s largest lodging franchisors, is seeking a Senior Manager, Software Engineering for their Advanced Technology Activation Team. This leadership role involves overseeing a high-performing engineering team to deliver scalable applications and drive innovation in hospitality technology through AI and cloud-native solutions.
Responsibilities:
• Lead and develop a high‑performing engineering team (and potentially managers) to deliver scalable applications/services using cutting‑edge technologies and best‑in‑class methodologies.
• Own delivery excellence across architecture, design, implementation, code reviews, automated testing, and production readiness; ensure alignment to Innovation’s vision and Enterprise Architecture standards.
• Be hands‑on when needed to accelerate outcomes—design and build POCs, drive Vibe Coding sessions, and create Spec‑to‑Code demonstrations using Java/JVM, Python (Streamlit, FastAPI, FASTMCP), or TypeScript/Next.js (React, server components).
• Plan and execute on the domain roadmap: anticipate tech needs, evaluate emerging tools, and map them to business outcomes for guests, associates, and franchisees.
• Help Transform SDLC → AI‑DLC: embed AI across planning, design, coding, test, security, and operations; deliver measurable gains in speed, quality, resilience, developer experience, and cost.
• Operational excellence: ensure high availability, reliability, and performance through world‑class monitoring, alerting, SLOs/SLIs, error budgets, and self‑healing practices; lead root‑cause/learning reviews.
• Security & compliance: safeguard systems and data; promote PCI/SOX compliance and participate in audits; codify controls via policy‑as‑code and automated checks.
• Program & portfolio leadership: plan, organize, and deliver multiple complex initiatives with cross‑functional partners (Product, Architecture, PMO, Business stakeholders).
• Talent & culture: hire, onboard, coach, and grow engineers and managers; foster engagement, psychological safety, and a culture of curiosity, experimentation, and continuous improvement.
• Standards & patterns: influence and establish best practices, reference architectures, reusable components, and guardrails; champion design patterns, quality metrics, and automation.
• Production leadership: own incident readiness and response, post‑incident learning, and long‑term remediation; drive continuous improvement of operational runbooks and DR guides.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related discipline (required)
• 8+ years building high‑volume, mission‑critical applications
• 5+ years technical leadership
• 2+ years people management
• Proven success delivering secure, scalable, highly available systems and modern architectures
• Exceptional grasp of SDLC and agile practices (coding standards, reviews, source control, CI/CD, testing, operations) and experience embedding AI into the lifecycle (AI‑DLC)
• Proficiency in one or more modern stacks: Java/JVM (e.g., Spring Boot) for service/platform engineering, or Python (e.g., Streamlit, FastAPI, FASTMCP) for services, AI‑assisted workflows, and rapid interactive apps, or TypeScript/Next.js (React, server components, edge/runtime) for modern web experiences and full‑stack delivery
• Strong grasp of RESTful and event‑driven architectures
• Experience with SQL & NoSQL databases and distributed data design
• Strong communication & stakeholder management; able to translate technical decisions into business value for guests, associates, and franchisees
• Ability to mentor technical talent, evangelize designs, and drive cross‑functional collaboration
• Demonstrates key competencies: Strategic Dexterity, Collaboration & Influence, and Technical Excellence
Preferred:
• Master’s degree (preferred)
Company:
Choice Hotels International is a hospitality franchisor that provides businesses and travelers with a range of lodging options. Founded in 1941, the company is headquartered in Rockville, USA, with a team of 1001-5000 employees. The company is currently Late Stage.