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Artificial Intelligence Engineer Jobs (NOW HIRING)

Artificial Intelligence Engineer

Bellevue, WA ยท On-site

$129K - $155K/yr

Job Title: Artificial Intelligence Engineer Job Location: Bellevue - Washington Job Type: Contract * Lead the development and deployment of machine learning models and analytical solutions for ...

Stefanini is looking for an Artificial Intelligence Engineer (Dearborn, MI) For quick apply, please reach out to Navneet Pathak at / We are looking for a candidate who is responsible for developing ...

Artificial Intelligence Engineer

Cleveland, OH ยท On-site

$111K - $133K/yr

We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and contribute to the development of a robust AI-enabled solution. As an AI Engineer, you will be ...

Artificial Intelligence Engineer

Philadelphia, PA ยท On-site +1

$105K - $141K/yr

Overview We are looking for an Artificial Intelligence Engineer to join our Data & AI Team . You will work across the organization to create, deploy, tune, and improve the state-of-the art Big Data ...

... Artificial Intelligence & Expert Systems, SQL, Python Experience RequiredSenior Specialist Exp: 7+ experience in relevant field.6-8 years in Software or Data Engineering, with a strong emphasis on ...

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Artificial Intelligence Engineer information

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$44K

$106.4K

$173.5K

How much do artificial intelligence engineer jobs pay per year?

As of Jun 6, 2026, the average yearly pay for artificial intelligence engineer in the United States is $106,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $132,500.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of an Artificial Intelligence Engineer?

Artificial Intelligence Engineers typically spend their days developing and optimizing machine learning models, analyzing large datasets, and collaborating closely with data scientists, software engineers, and product managers. They design and test algorithms to solve specific business problems, document their findings, and frequently review recent research to stay on top of advances in the field. Additionally, they participate in code reviews, attend project meetings, and may contribute to deploying AI systems into production environments. This role offers a dynamic and intellectually stimulating work environment where continuous learning and innovation are encouraged.

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 are the key skills and qualifications needed to thrive in the Artificial Intelligence Engineer position, and why are they important?

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 cities are hiring for Artificial Intelligence Engineer jobs? Cities with the most Artificial Intelligence Engineer job openings:
What are the most commonly searched types of Artificial Intelligence Engineer jobs? The most popular types of Artificial Intelligence Engineer jobs are:
Who are the top companies hiring for Artificial Intelligence Engineer jobs? The top employers for Artificial Intelligence Engineer jobs are:
What states have the most Artificial Intelligence Engineer jobs? States with the most job openings for Artificial Intelligence Engineer jobs include:
Infographic showing various Artificial Intelligence Engineer job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $106,386 per year, or $51.1 per hour.

Artificial Intelligence Engineer

Prophecy Technologies

West Des Moines, IA โ€ข On-site

Full-time

Posted 27 days ago


Job description

Role Name: Artificial Intelligence Engineer
Location: West Des Moines-Iowa
Job Summary
We are seeking an experienced Artificial Intelligence Engineer to design, develop, and scale modern AI solutions leveraging GenAI, LLMs, and Agentic AI. The ideal candidate will work across data, engineering, and business teams to deliver intelligent applications, RAG pipelines, AI agents, and document automation workflows using AWS-native AI services.
Experience Range (Required Skills)
  • 5+ years in software engineering or data science.
  • 1+ year hands-on experience with GenAI, LLMs, or Agentic AI.
  • Proficiency in Python, REST APIs, and JavaScript/TypeScript frameworks (React, Node.js).
  • Experience working with cloud-native infrastructure: Docker, CI/CD pipelines.
  • Hands-on experience with AWS AI/ML services, including:
  • Bedrock
  • SageMaker
  • Textract
  • Translate
  • Lambda & other serverless components

Key Responsibilities
  • Design, build, and scale RAG pipelines, vector search architectures, and LLM evaluation workflows.
  • Develop intelligent AI agents using LangChain, AutoGen, LlamaIndex, or LangGraph.
  • Ingest, process, and prepare structured/unstructured data-chunking, embeddings, parsing, retrieval.
  • Create intuitive front-end experiences powered by LLM and agent-based intelligence.
  • Integrate enterprise AI tools such as:
  • Claude
  • GPT-4/4o / ChatGPT Enterprise
  • Copilot
  • Glean
  • Shelf
  • Drive advanced document automation, including summarization, translation, and named-entity recognition (NER).
  • Implement observability, governance, and responsible AI practices in compliance with enterprise regulations.
  • Partner with cross-functional teams (IT, data, risk, compliance, business) to deliver user-facing AI solutions.

Required Skills & Experience
  • Hands-on experience developing AI solutions using GenAI/LLM frameworks.
  • Strong expertise in Python and API development (REST).
  • Experience with modern frontend concepts (React, Node.js).
  • Knowledge of embeddings, vector stores, retrieval workflows, and LLM orchestration.
  • Experience with AWS AI services and cloud-native development patterns.

Competencies
  • Strong problem-solving and analytical thinking.
  • Excellent communication and collaboration across technical & business stakeholders.
  • Ability to work in fast-paced, innovation-driven environments.
  • Self-starter with strong ownership of solution delivery.

Preferred Skills
  • Experience with LangChain, AutoGen, LlamaIndex, or LangGraph.
  • Prior exposure to enterprise AI platforms such as Glean or Shelf.
  • Understanding of responsible AI, security, governance, and observability frameworks.
  • Experience building UI/UX for AI-driven applications.