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Solid Edge Jobs in Arizona (NOW HIRING)

Child Psychiatrist

Phoenix, AZ · On-site

$306K/yr

  • Medical

  • Retirement

Those who are qualified and in search of a long-term career opportunity in a cutting-edge practice ... their solid physician culture and continuous learning on the forefront of psychiatry Child ...

Environmental Field Technician

Phoenix, AZ · On-site

$18.50 - $24.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our work leverages cutting-edge technologies, advanced analytics, and the expertise of world-class ... Tetra Tech Solid Waste West (SWW) is seeking an Environmental Field Technician for the Phoenix, AZ ...

Environmental Field Technician

Phoenix, AZ

$18.50 - $24.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our work leverages cutting-edge technologies, advanced analytics, and the expertise of world-class ... Tetra Tech Solid Waste West (SWW) is seeking an Environmental Field Technician for the Phoenix, AZ ...

Snr Engineer, Software

Phoenix, AZ · On-site

$121K - $160K/yr

Step into a career with ASM, where cutting edge technology meets collaborative culture. For over 55 ... Solid understanding of multi-threaded applications * Experience working with software documentation ...

Electrical Assembler

Chandler, AZ · On-site

$16.75 - $21.50/hr

Join our cutting-edge manufacturing team where your precision and expertise in electrical assembly ... A solid, dependable work history supported by professional references. * Soft Skills: Strong ...

Showing results 41-60

Solid Edge information

What skills and qualifications are needed to thrive in a Solid Edge position?

To thrive as a Solid Edge Designer or Engineer, you need strong proficiency in 3D CAD modeling and mechanical design principles, often supported by a degree in mechanical engineering or a related field. Experience using Siemens Solid Edge software, along with relevant certifications and familiarity with PLM systems, is highly valued. Attention to detail, effective problem-solving, and strong communication skills help professionals excel in collaborative, deadline-driven environments. These skills ensure accurate, efficient design work and smooth integration with cross-functional engineering teams.

What does a Solid Edge designer or engineer do?

Solid Edge Designers and Engineers are usually responsible for creating detailed 3D models and technical drawings, revising designs based on feedback, and collaborating with engineers and product teams to ensure accurate specifications. You may also participate in design reviews, manage documentation, and troubleshoot design-related issues throughout product development. This role often involves close teamwork with manufacturing, quality assurance, and project management to ensure smooth workflow integration. Staying up to date with Solid Edge software updates and best practices is also an important part of maintaining efficiency and innovation on the job.

What is a Solid Edge?

A Solid Edge job typically involves using Siemens Solid Edge software for 3D CAD modeling, drafting, and product design. Professionals in this role create detailed engineering drawings, develop models for manufacturing, and improve design processes. Common job titles include Mechanical Designer, CAD Engineer, and Product Design Engineer. Industries like automotive, aerospace, and manufacturing frequently seek Solid Edge experts.

What are the most commonly searched types of Solid Edge jobs in Arizona?

The most popular types of Solid Edge jobs in Arizona are:

What are popular job titles related to Solid Edge jobs in Arizona?

For Solid Edge jobs in Arizona, the most frequently searched job titles are:

Infographic showing various Solid Edge job openings in Arizona as of August 2026, with employment types broken down into 89% Full Time, 4% Temporary, and 7% Contract. Highlights an 100% In-person job distribution.

Senior AI Engineer / Data Scientist

Koantek

Chandler, AZ • On-site

Contractor

Re-posted 23 days ago


Job description


Senior AI Engineer / Data Scientist (Consulting)
Location: United States (Remote)
Employment Type: Full-Time / Contract
Experience Level: Senior
About the Role:
We are seeking an experienced, highly technical Senior AI Engineer / Data Scientist to join our customer-facing consulting team. This remote role requires a unique blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation.
You will design, deploy, and maintain production-grade ML solutions, including advanced Generative AI and NLP models, for our diverse client base.
Key Responsibilities:
* Technical Consulting: Lead end-to-end ML implementations directly with clients, translating business problems into robust technical solutions.
* MLOps and Pipelines: Design, build, and maintain production-grade ML pipelines with a strong focus on CI/CD, automation, and scalability.
* GenAI and NLP Deployment: Implement and optimize cutting-edge Generative AI applications (such as LLMs and RAG) in live production settings.
* Infrastructure and Data Scale: Manage underlying infrastructure using Docker, pipeline orchestrators, and distributed computing frameworks like Apache Spark.
* Stakeholder Management: Clearly communicate technical findings, proposals, and project status to both technical and non-technical audiences.
Required Qualifications:
* 4+ years of professional experience developing, deploying, and maintaining ML models in a live production environment (Mandatory).
* 3+ years of experience in a customer-facing consulting or Solutions Architect role.
* Strong expertise in the MLOps lifecycle (model versioning, testing, monitoring, and automated deployment).
* Solid hands-on experience with containerization (Docker) and data pipeline orchestration.
* Proven track record of deploying Generative AI and NLP solutions for client applications.
* Excellent verbal and written communication skills.
Preferred Qualifications:
* Hands-on experience with modern ML platform stacks, specifically Databricks MLOps Stacks.
* Deep knowledge of large-scale data processing and distributed machine learning techniques.
* A strong commitment to continuous learning in emerging ML fields and GenAI application architectures.