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Artificial Intelligence Environment Jobs (NOW HIRING)

OneMagnify

Director of Artificial Intelligence

Create an environment where learning and experimentation are expected, not exceptional Drive AI ... D.) in Computer Science, Artificial Intelligence, Data Science, or a related field; equivalent ...

SCATR Corp.

Artificial Intelligence Engineer

Cleveland, OH

$111K - $133K/yr

... the world's most hostile environments, addressing a critical gap in Zero Trust security ... We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and ...

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Artificial Intelligence Environment information

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$102.9K

$133K

How much do artificial intelligence environment jobs pay per year?

As of Jun 9, 2026, the average yearly pay for artificial intelligence environment in the United States is $102,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $132,500.00 per year, depending on experience, location, and employer.

What collaborative opportunities can professionals expect when working in an Artificial Intelligence Environment role?

In an Artificial Intelligence Environment role, professionals frequently collaborate with cross-functional teams, including data scientists, software engineers, product managers, and UX designers. This collaboration ensures AI models are effectively integrated into products and services, and that solutions meet both technical and user requirements. Regular team meetings, code reviews, and brainstorming sessions are common, providing valuable opportunities to learn from colleagues and contribute to interdisciplinary projects. Such environments also often foster mentorship and continuous learning, supporting career development and skill advancement.

What is an Artificial Intelligence Environment?

An Artificial Intelligence Environment refers to the virtual or physical setting in which AI systems operate, learn, and interact. This can include simulation platforms, real-world robotics labs, or digital ecosystems designed to train and evaluate AI algorithms. Such environments provide data, challenges, and feedback necessary for AI development and testing. They help researchers and developers assess how AI systems perform under various scenarios and conditions. These environments can be tailored for specific tasks, such as natural language processing, robotics, or computer vision.

What is the difference between Artificial Intelligence Environment vs Data Scientist?

AspectArtificial Intelligence EnvironmentData Scientist
Required CredentialsTypically a background in computer science, AI certifications, programming skillsDegree in statistics, computer science, or related field; often data analysis certifications
Work EnvironmentTech companies, research labs, AI development teamsBusiness, finance, healthcare sectors analyzing data for insights
Employer & Industry UsageUsed in AI system development, machine learning projectsUsed for data analysis, predictive modeling, and decision support

Artificial Intelligence Environments focus on developing and managing AI systems, while Data Scientists analyze data to generate insights. Both roles often collaborate but serve different core functions within tech and data-driven industries.

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

To thrive as an Artificial Intelligence Engineer, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree and experience in AI development. Familiarity with programming languages such as Python or R, frameworks like TensorFlow or PyTorch, and experience with cloud platforms are commonly required, along with certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, creativity, and effective communication skills enable engineers to design innovative solutions and collaborate with multidisciplinary teams. These skills and qualities are essential to create high-performing AI systems that solve complex problems and drive business value.
Infographic showing various Artificial Intelligence Environment job openings in the United States as of May 2026, with employment types broken down into 72% Full Time, 15% Part Time, 4% Contract, and 9% Nights. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $102,938 per year, or $49.5 per hour.

Artificial Intelligence Engineer

Prophecy Technologies

West Des Moines, IA

Other

Posted 6 hours 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.

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