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Ai Engineer And Developer Salary Jobs (NOW HIRING)

Aptino

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 ...

Tech Tammina LLC

AI Engineer/ Developer

Okemos, MI · On-site

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 And Developer Salary information

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

As of Jun 14, 2026, the average hourly pay for ai engineer and 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 engineers make $500,000?

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

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, chief AI officers, or senior machine learning executives, often requiring advanced degrees, extensive experience, and expertise in areas like deep learning, natural language processing, or AI strategy. These positions usually involve leadership, strategic planning, and overseeing AI development in large organizations or tech companies. Compensation at this level reflects significant responsibility and specialized skills in the AI field.

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

AspectAi Engineer And DeveloperData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fields; programming skillsBachelor's or higher in CS, Statistics, or related fields; programming and analytical skills
Work EnvironmentTech companies, R&D labs, startups; focus on AI model developmentResearch firms, tech companies, finance; focus on data analysis and modeling
Employer & Industry UsageAI-focused roles across industries like tech, healthcare, automotiveData-driven roles in finance, marketing, healthcare, and tech
Salary RangeAverage $100K - $150KAverage $90K - $140K

Both roles require strong programming skills and relevant degrees, but Ai Engineers and Developers focus more on building AI systems, while Data Scientists analyze data to inform decisions. Salary ranges are similar, with slight variations depending on experience and location.

Which 3 jobs will survive AI?

AI engineers and developers are likely to continue thriving as they design, implement, and improve AI systems. Other resilient roles include healthcare professionals, such as doctors and nurses, and skilled tradespeople like electricians and plumbers, as these require complex human judgment and manual skills that are difficult to automate fully.

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 expertise in machine learning, deep learning, and programming languages like Python often earn higher salaries, especially in tech hubs or companies with advanced AI projects.
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Ai Engineer And Developer Salary jobs near you
Infographic showing various Ai Engineer And Developer Salary job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Part Time. 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 3 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

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