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Artificial Intelligence Engineer information

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$171.2K

How much do artificial intelligence engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for artificial intelligence engineer in California is $104,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $130,800.00 per year, depending on experience, location, and employer.

What jobs do artificial intelligence engineers do?

Artificial intelligence engineers develop, test, and implement AI models and algorithms to solve complex problems across various industries. They work with machine learning, deep learning, and data analysis tools, often programming in languages like Python or TensorFlow, and may collaborate with data scientists and software developers to deploy AI solutions. Their responsibilities include designing systems, optimizing performance, and ensuring ethical use of AI technologies.

What does an Artificial Intelligence Engineer do?

An Artificial Intelligence Engineer designs, develops, and implements AI models and algorithms to solve complex problems. They work with machine learning, deep learning, natural language processing, and data science to create intelligent systems. Their responsibilities include data preprocessing, model training, deployment, and optimization to enhance AI performance. AI Engineers collaborate with data scientists, software developers, and business teams to integrate AI solutions into real-world applications.

What is an artificial intelligence engineer's salary?

The salary of an artificial intelligence engineer 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 and deep learning can earn higher salaries, especially in tech hubs or large organizations.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Engineer?

To thrive as an Artificial Intelligence Engineer, you need proficiency in programming languages such as Python or Java, a solid background in mathematics and statistics, and experience with machine learning frameworks, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, and cloud platforms (AWS, Azure, or Google Cloud) along with certifications in AI or data science are highly valued. Strong problem-solving abilities, effective communication, and collaborative teamwork skills set standout professionals apart. These competencies are crucial for designing robust AI solutions, integrating them into business processes, and working efficiently within interdisciplinary teams.

What are the most commonly searched types of Artificial Intelligence Engineer jobs in California? The most popular types of Artificial Intelligence Engineer jobs in California are:
What are popular job titles related to Artificial Intelligence Engineer jobs in California? For Artificial Intelligence Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Engineer jobs in California look for? The top searched job categories for Artificial Intelligence Engineer jobs in California are:
What cities in California are hiring for Artificial Intelligence Engineer jobs? Cities in California with the most Artificial Intelligence Engineer job openings:
Artificial Intelligence Engineer jobs near you
Infographic showing various Artificial Intelligence Engineer job openings in California as of August 2026, with employment types broken down into 63% Full Time, and 37% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $104,993 per year, or $50.5 per hour.

Artificial Intelligence Engineer (Remote)

Eazifunds

San Francisco, CA • On-site, Remote

Full-time

Re-posted 19 days ago

Job description

The Role:
We’re looking for an experienced artificial intelligence engineer to join the revolution, using deep learning, neuro-linguistic programming (NLP), LLM, computer vision, robotic process automation, human in the loop, decision-making engines, chatbots, and robotics to help us improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference.

Objectives of this role:
1. Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy
2. Understand company and client challenges and how integrating AI capabilities can help lead to solutions
3. Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit
4. Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards
Responsibilities:
1. Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
2. Work on functional design, process design (including scenario design and flow mapping), prototyping, testing, training, and defining support procedures in collaboration with an advanced engineering team and executive leadership
3. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation
4. Manage a team in conducting assessments of the AI and automation market and competitor landscape
5. Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation
Requirement skills and qualifications:
1. Two or more years of experience in applying AI to practical and comprehensive technology solutions
2. Experience with ML, deep learning, TensorFlow, Python, and NLP
3. Experience in program leadership, governance, and change enablement
5. Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
6. Experience in REST API development, NoSQL database design, and RDBMS design and optimization
Plus:
1. A bachelor's or master's degree in computer science or related field
2. Experience with innovation accelerators
3. Experience with cloud environments
What we can offer:
1. Salary
2. Stock options
3. Performance-Based Bonus
4. Employee Benefits

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