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Pytorch Jobs in Arizona (NOW HIRING)

SVP AI Enterprise Architect

Tempe, AZ · On-site

$67 - $86.50/hr

NET, Rust, Go, etc.). • Model training or fine tuning experience. • Holds an Advanced cloud certification in Azure. • Experience with LangChain, TensorFlow, PyTorch, or Databricks SDKs for ML.

Experience with Hugging Face, PyTorch, or ML model deployment * Contributions to AI/ML or open-source projects What Makes This Role Unique * Work on cutting-edge Agentic AI systems * High ownership ...

Experience with AR platforms (Unity, Unreal Engine, Vuforia, or HoloLens) and AI frameworks (TensorFlow, PyTorch, OpenCV). Familiarity with PLC, SCADA, OPC-UA, MQTT, and other industrial control/IoT ...

AI ML Engineer with LLM & AWS Integration

Tempe, AZ · On-site

$101K - $136K/yr

Preferred : • Experience in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). • Experience in building and maintaining scalable data pipelines and APIs to support ML workflows ...

Gen AI / Agentic AI Lead

Tempe, AZ · On-site

$136K - $167K/yr

... PyTorch). • Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search). • Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP). • Experience with ...

AI ML Engineer with LLM & AWS Integration

Tempe, AZ · On-site

$101K - $136K/yr

Preferred : • Experience in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). • Experience in building and maintaining scalable data pipelines and APIs to support ML workflows ...

Gen AI / Agentic AI Lead

Phoenix, AZ · On-site

$139K - $170K/yr

... PyTorch). • Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search). • Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP). • Experience with ...

Senior Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

... PyTorch, TensorFlow, Azure ML, or Fabric ML. · Practical experience managing HIPAA compliance, PHI handling, auditing, and secure access controls within cloud data environments. · Experience ...

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Showing results 1-20

Pytorch information

What are the key skills and qualifications needed to thrive in the Pytorch position, and why are they important?

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

What are the most commonly searched types of Pytorch jobs in Arizona? The most popular types of Pytorch jobs in Arizona are:
Infographic showing various Pytorch job openings in Arizona as of May 2026, with employment types broken down into 1% Internship, 91% Full Time, 7% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.
SVP AI Enterprise Architect

SVP AI Enterprise Architect

Northern Trust

Tempe, AZ • On-site

$67 - $86.50/hr

Full-time

Posted 6 days ago


Northern Trust rating

8.0

Company rating: 8.0 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Northern Trust, a Fortune 500 financial institution, is seeking an SVP AI Enterprise Architect to provide expert guidance and support in the areas of generative AI and machine learning. The role involves shaping the organization’s AI strategy, driving AI adoption, and aligning technical solutions with business objectives to enhance enterprise efficiency and innovation.
Responsibilities:
• Provide input, guidance, and expertise on generative AI and machine learning within the enterprise
• Drive controlled growth in AI initiatives and deliver efficiency gains through automation and AI adoption
• Stay abreast of the latest AI developments and technologies
• Advise on how AI can enhance the developer experience and consult with application development teams
• Bridge the gap between business and technology by aligning technical solutions with business needs
• Drive AI governance through Architecture Review Boards
Qualifications:
Required:
• Advanced degree (Master’s or PhD) in AI, Data Science, Computer Science, or related field.
• Professional certifications in AI, machine learning, cloud architecture, or enterprise architecture.
• Experience with compliance and regulatory aspects of AI in financial services.
• Proficiency in programming languages such as Python and experience with AI/ML frameworks.
• This role is primarily not a hands-on role, though building PoC and demo applications should be within their skillset so the chosen candidate should have strong programming skills, likely in Python or any OOP language (Java, C/C++, C#/.NET, Rust, Go, etc.).
• Model training or fine tuning experience.
• Holds an Advanced cloud certification in Azure.
• Experience with LangChain, TensorFlow, PyTorch, or Databricks SDKs for ML.
Preferred:
• Deep experience with generative AI, machine learning, and enterprise‑grade AI/ML systems in regulated industries.
• Strong enterprise architecture background and ability to align AI solutions with business strategy.
• Expertise in AI governance, regulatory frameworks, and implementing compliant risk controls.
• Proven experience scaling AI adoption across cross‑functional teams.
• Familiarity with AI architecture frameworks, MLOps best practices, and CI/CD for agentic applications.
• Mastery of Azure AI Foundry and working knowledge of AWS generative AI tools.
• Strong understanding of RAG applications and advanced prompt engineering techniques.
• Knowledge of tradeoffs across leading model providers and alignment to enterprise constraints.
• Experience tuning vector databases such as Postgres, Databricks, and Azure Search.
• Ability to define measurable AI ROI and differentiate AI vs automation use cases.
Company:
Northern Trust is a global leader in delivering innovative investment management, asset and fund administration, fiduciary and banking. Founded in 1889, the company is headquartered in Chicago, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Northern Trust employees say

Pay

Benefits

Hours and flexibility

Workplace

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