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Ai Engineer Developer Salary Jobs (NOW HIRING)

AI Engineer / Developer

Santa Clara, CA

$133K - $160K/yr

Job Title AI Engineer / Developer Role Overview We are looking for an AI Data Engineer / Developer to design, build, and maintain scalable data pipelines and AI-ready data systems that power machine ...

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AI Engineer/ Developer Location: Okemos, MI (onsite/ Hybrid) Duration: 12 months+ Rate: Market Key Responsibilities: • Design and build AI-powered proof-of-concepts and experimental tools using ...

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Ai Engineer Developer Salary information

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How much do ai engineer developer salary jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for ai engineer developer salary in the United States is $61.49, according to ZipRecruiter salary data. Most workers in this role earn between $55.29 and $68.03 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI engineer developer salary typically reflects senior-level roles with extensive experience, advanced skills in machine learning, deep learning, and programming, and often involves leadership responsibilities or specialized expertise. Such high compensation may also include bonuses, stock options, or other incentives in competitive tech companies or research institutions.

What engineers make $500,000?

Senior AI engineer developers with extensive experience, advanced skills in machine learning, deep learning, and proficiency with tools like TensorFlow or PyTorch can reach salaries of $500,000 or more, especially in high-demand industries or senior leadership roles. Achieving this level often requires a combination of technical expertise, industry experience, and sometimes equity or bonuses.

How much can an AI developer make?

An AI developer's salary varies based on experience, location, and skills, but typically ranges from $80,000 to over $150,000 annually. Senior AI engineers with specialized knowledge in machine learning, deep learning, and programming languages like Python can earn higher salaries, especially in competitive markets or with advanced certifications.

Which 3 jobs will survive AI?

AI engineers and developers are likely to continue thriving as demand for AI systems, machine learning models, and data analysis grows. Roles requiring complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, and skilled tradespeople—are also expected to persist despite AI advancements. These jobs often involve tasks that are difficult for AI to fully replicate or automate.

What is the difference between Ai Engineer Developer Salary vs Data Scientist Salary?

AspectAi Engineer DeveloperData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fields; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentTech companies, AI startups, R&D labsTech firms, finance, healthcare, research institutions
Employer & Industry UsageDevelop AI models, algorithms, and softwareAnalyze data, build predictive models, interpret complex datasets
Common Search & Comparison IntentSalary differences, job roles, skills requiredSalary expectations, job responsibilities, career path

Generally, Ai Engineer Developers tend to have higher salaries due to specialized AI development skills, but Data Scientists also command competitive pay based on their expertise in data analysis and modeling. Both roles are in high demand across tech-driven industries.

More about Ai Engineer Developer Salary jobs
What cities are hiring for Ai Engineer Developer Salary jobs? Cities with the most Ai Engineer Developer Salary job openings:
What states have the most Ai Engineer Developer Salary jobs? States with the most job openings for Ai Engineer Developer Salary jobs include:
What job categories do people searching Ai Engineer Developer Salary jobs look for? The top searched job categories for Ai Engineer Developer Salary jobs are:
Infographic showing various Ai Engineer Developer Salary job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $127,901 per year, or $61.5 per hour.
AI Engineer / Developer

AI Engineer / Developer

Aptino

Santa Clara, CA

$133K - $160K/yr

Other

Posted 2 days ago


Job description

Job Title

AI Engineer / Developer

Role Overview

We are looking for an AI Data Engineer / Developer to design, build, and maintain scalable data pipelines and AI-ready data systems that power machine learning and generative AI applications. This role sits at the intersection of data engineering, software development, and AI, ensuring high-quality, reliable data flows from source to model deployment.

You will work closely with data scientists, ML engineers, and product teams to transform raw data into structured, model-ready datasets and production-grade AI services.


Key ResponsibilitiesData Engineering & Pipelines
  • Design, build, and maintain scalable data pipelines for structured and unstructured data

  • Ingest data from multiple sources (databases, APIs, streaming platforms, files, sensors)

  • Ensure data quality, validation, lineage, and versioning for AI/ML workloads

  • Optimize data storage and retrieval for performance and cost efficiency

AI & Machine Learning Enablement
  • Prepare, transform, and feature-engineer datasets for ML and AI models

  • Support training, evaluation, and deployment of ML and LLM-based systems

  • Build and maintain data pipelines for model retraining and monitoring

  • Integrate vector databases and embedding pipelines for AI search and RAG systems

Development & Systems
  • Develop reusable data and AI services using Python and/or other relevant languages

  • Build APIs and microservices to serve data and AI outputs

  • Collaborate on CI/CD pipelines for data and ML workflows

  • Monitor, debug, and improve production data and AI systems

Collaboration & Governance
  • Work closely with data scientists, ML engineers, and product teams

  • Implement data governance, security, and compliance best practices

  • Document architectures, pipelines, and processes clearly


Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience)

  • Strong experience with Python and data engineering frameworks

  • Experience building ETL/ELT pipelines and working with large datasets

  • Solid understanding of databases (SQL and NoSQL) and data modeling

  • Familiarity with machine learning workflows and AI concepts

  • Experience with cloud platforms (AWS, Azure, or Google Cloud Platform)


Preferred / Nice-to-Have Skills
  • Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn)

  • Knowledge of LLM ecosystems (OpenAI, Hugging Face, LangChain, etc.)

  • Experience with vector databases (Pinecone, FAISS, Weaviate, Milvus)

  • Familiarity with streaming technologies (Kafka, Spark Streaming, Flink)

  • Experience with MLOps tools and practices

  • Understanding of data privacy, security, and compliance standards