ZipRecruiter

Log In

1

Artificial Intelligence Automation Engineer Jobs

Prosperity Life Group

About the Role: We're looking for an Artificial Intelligence Engineer to help design, develop, and ... Familiarity with Git, MLOps, or workflow automation tools * Experience with Pandas, Scikit-Learn ...

Nightwing Group

Data Automation Engineer

Arlington, VA · On-site

... intelligence mission support services to meet our customers' most demanding challenges. Our ... The Data Automation Engineer will develop and implement automation solutions to support technology ...

Hireblazer

Artificial Intelligence Engineer (AI/ML)

Austin, TX · On-site

$113K - $136K/yr

Artificial Intelligence Engineer (AI/ML) Duration: 12 Months Location: Austin, TX 78744 Note: This ... Delivery Excellence & Governance Ensure automation projects comply with the client's IT governance, ...

Nightwing

Data Automation Engineer

Arlington, VA · On-site

$77K - $163K/yr

... intelligence mission support services to meet our customers' most demanding challenges. Our ... The Data Automation Engineer will develop and implement automation solutions to support technology ...

Nightwing

Data Automation Engineer

Arlington, VA · On-site

$99K - $206K/yr

... intelligence mission support services to meet our customers' most demanding challenges. Our ... The Data Automation Engineer will develop and implement automation solutions to support technology ...

Nwis

Data Automation Engineer

Arlington, VA · On-site

$99K - $206K/yr

... intelligence mission support services to meet our customers' most demanding challenges. Our ... The Data Automation Engineer will develop and implement automation solutions to support technology ...

Stock Group Analytics

$84K - $101K/yr

Develop and deploy intelligent automation workflows integrating AI capabilities with RPA * Build ... Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or related field ...

previous pagenext page

Showing results 21-40

All JobsArtificial Intelligence Automation Engineer Jobs

Artificial Intelligence Automation Engineer information

See salary details

$37K

$107.1K

$163K

How much do artificial intelligence automation engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for artificial intelligence automation engineer in the United States is $107,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $123,500.00 per year, depending on experience, location, and employer.

What is the difference between Artificial Intelligence Automation Engineer vs Data Scientist?

AspectArtificial Intelligence Automation EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related; certifications in AI/MLBachelor's/Master's in CS, Statistics, or Data Science; certifications in data analysis
Work EnvironmentDevelops AI automation solutions, integrates AI into systemsAnalyzes data, builds predictive models, interprets data insights
Employer & Industry UsageTech companies, automation firms, AI solution providersFinance, healthcare, marketing, research organizations

While both roles involve working with AI and data, the Artificial Intelligence Automation Engineer focuses on creating automated AI systems and integrating AI into workflows, whereas the Data Scientist primarily analyzes data to extract insights and build models. Their skills overlap but serve different core functions within AI and data-driven projects.

Is an artificial intelligence automation engineer in demand?

Artificial intelligence automation engineers are in high demand due to the increasing adoption of AI and automation technologies across industries. They typically require skills in machine learning, programming, and data analysis, and often find opportunities in tech companies, finance, healthcare, and manufacturing sectors.

What does an Artificial Intelligence Automation Engineer do?

An Artificial Intelligence Automation Engineer designs and develops AI-driven systems to automate processes and improve efficiency. They work with machine learning models, programming languages like Python, and tools such as TensorFlow or PyTorch to create intelligent automation solutions. The role often requires knowledge of data analysis, software engineering, and AI algorithms to implement scalable and effective automation systems.

Will AI take artificial intelligence automation engineer jobs?

Artificial Intelligence Automation Engineers design and implement AI-driven automation systems, and their roles are less likely to be replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing engineers to focus on complex problem-solving and system development. Staying current with AI and automation tools is essential for job security in this field.

What cities are hiring for Artificial Intelligence Automation Engineer jobs?

Cities with the most Artificial Intelligence Automation Engineer job openings:

What states have the most Artificial Intelligence Automation Engineer jobs?

States with the most job openings for Artificial Intelligence Automation Engineer jobs include:

What are popular job titles related to Artificial Intelligence Automation Engineer jobs?

For Artificial Intelligence Automation Engineer jobs, the most frequently searched job titles are:

Artificial Intelligence Automation Engineer jobs near you

Artificial Intelligence Engineer

West Des Moines, IA • On-site

Scalence L.L.C.
See more jobs at Scalence L.L.C.external

$113K - $135K/yr

Full-time

Re-posted 2 days ago

Job description

Job Summary:
Scalence L.L.C. is a company specializing in artificial intelligence solutions, and they are seeking an Artificial Intelligence Engineer to develop and implement AI-driven applications. The role involves working with various AI technologies and collaborating with different teams to deliver innovative solutions for business challenges.
Responsibilities:
• Proficiency in Python, REST APIs, React/Node.js, and cloud-native infrastructure (Docker, CI/CD) with 5 years of minimum experience in software engineering or data science, including 1 year in GenAI/LLM/Agentic AI
• Hands-on experience with AWS AI services (Bedrock, SageMaker, Textract, Translate, etc.)
• Experience with AI agent frameworks such as LangChain, AutoGen, LlamaIndex, or LangGraph
• Experience in designing and scaling RAG pipelines, vector search systems, and LLM evaluation workflows
• Familiarity with enterprise AI tools such as Claude, GPT-4/4o, ChatGPT Enterprise, Copilot, Glean, and Shelf
• Ingest and process unstructured/structured data (parsing, chunking, embeddings, retrieval)
• Develop intuitive user experiences powered by LLMs and AI agents for real-time workflows
• Drive document automation and multilingual NLP (summarization, translation, NER)
• Implement observability, governance, and responsible AI practices in compliance with regulations
• Collaborate with IT, data, compliance, and business leaders to deliver business-facing solutions
Qualifications:
Required:
• Proficiency in Python, REST APIs, React/Node.js, and cloud-native infrastructure (Docker, CI/CD) with 5 years of minimum experience in software engineering or data science, including 1 year in GenAI/LLM/Agentic AI
• Hands-on experience with AWS AI services (Bedrock, SageMaker, Textract, Translate, etc.)
• Experience with AI agent frameworks such as LangChain, AutoGen, LlamaIndex, or LangGraph
• Experience in designing and scaling RAG pipelines, vector search systems, and LLM evaluation workflows
• Familiarity with enterprise AI tools such as Claude, GPT-4/4o, ChatGPT Enterprise, Copilot, Glean, and Shelf
• Ingest and process unstructured/structured data (parsing, chunking, embeddings, retrieval)
• Develop intuitive user experiences powered by LLMs and AI agents for real-time workflows
• Drive document automation and multilingual NLP (summarization, translation, NER)
• Implement observability, governance, and responsible AI practices in compliance with regulations
• Collaborate with IT, data, compliance, and business leaders to deliver business-facing solutions
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.

Apply