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Applied Ai Engineer Jobs in Riverside, CA (NOW HIRING)

Cisco

Applied AI Scientist

Irvine, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.

Turion Space

Head of Software Tools

Irvine, CA · On-site

$200 - $225/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Define and drive the strategy for vehicle development software across analysis automation, design automation, systems and requirements tooling, applied AI, engineering data infrastructure, and ...

Turion Space

Head of Software Tools

Irvine, CA · On-site

$200K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Define and drive the strategy for vehicle development software across analysis automation, design automation, systems and requirements tooling, applied AI, engineering data infrastructure, and ...

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All JobsApplied Ai Engineer JobsApplied Ai Engineer Jobs in Riverside, CA

Applied Ai Engineer information

What are the key skills and qualifications needed to thrive as an applied AI engineer?

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What are some common challenges applied AI engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.

What is the difference between Applied Ai Engineer vs Data Scientist?

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

How much does an applied AI engineer make?

An applied AI engineer's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

What job categories do people searching Applied Ai Engineer jobs in Riverside, CA look for?

The top searched job categories for Applied Ai Engineer jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Applied Ai Engineer jobs?

Cities near Riverside, CA with the most Applied Ai Engineer job openings:

Applied Ai Engineer jobs near you

Director of AI applied solutions

MegazoneCloud Global

Irvine, CA • On-site

Full-time

Posted 28 days ago

Job description

Job Summary:
MegazoneCloud Global is looking for a Director of AI applied solutions to lead their AI practice and serve as a technical authority for clients. This role involves architecting enterprise-scale AI/ML platforms, leading technical discovery, and mentoring a multidisciplinary team.
Responsibilities:
• Lead Technical Strategy & Design: Architect and oversee the implementation of enterprise-scale AI/ML and GenAI platforms across AWS, Azure, GCP, and Databricks.
• Be the Client-Facing Expert: Lead discovery workshops to surface high-impact use cases, translate complex business requirements into architectural roadmaps, and present ROI models to executive stakeholders.
• Architect the Future: Design reference architectures on Databricks covering data pipelines, feature stores, model training, vector databases, and real-time inference.
• Own the Ecosystem: Drive strategic relationships with AWS, Azure, GCP, and Databricks, ensuring our offerings leverage the latest innovations in GenAI and MLOps.
• Set the Standard: Define best practices for responsible AI, data quality, and security, serving as the final point of escalation for complex technical challenges.
• Mentor and Multiply: Lead and grow a multidisciplinary team of engineers and data scientists, acting as a 'force multiplier' through technical guidance and design reviews.
• Market Leadership: Represent Megazone Cloud at industry conferences, publish white papers, and position the firm as a premier leader in applied-AI innovation.
Qualifications:
Required:
• 8-12+ years of experience in data science, AI, and data ecosystems, with at least 5 years leading cross-functional technical teams.
• Deep, hands-on expertise with the Databricks stack and a proven track record of integrating Databricks into complex client environments.
• 2+ years of progressive experience in cloud architecture or solutions engineering across AWS, Azure, or GCP.
• Proven ability to build, manage, and mentor technical teams while managing multi-faceted projects.
• Exceptional skills in presenting to executive audiences and translating business needs into technical designs.
• Bachelor’s degree in Computer Science, Data Science, or a related field (Master’s or PhD preferred).
• A startup mentality, a strategic approach to problem-solving, and a genuine thirst for knowledge.
Preferred:
• Relevant high-level certifications (e.g., Databricks Machine Learning Professional, AWS ML Specialty, Azure AI Engineer, or Google Professional ML Engineer).
• Experience in a Professional Services or consulting environment.
Company:
MegazoneCloud stands as Asia's leading cloud managed service provider (MSP) and digital transformation catalyst, revolutionizing how enterprises harness cloud technology. Founded in 1998, the company is headquartered in Gwacheon-si, Gyeonggi-do, KR, , with a team of 1001-5000 employees. The company is currently Late Stage.

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