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Masters In Artificial Intelligence Jobs in Iowa (NOW HIRING)

Business Intelligence Developer

Des Moines, IA ยท On-site +1

$110K - $116K/yr

Remote work from any location in the US is an option for this position. Minimum requirements are a ... Apply at: $110,000 - $116,500 a year We may use artificial intelligence (AI) tools to support parts ...

Business Intelligence Developer

Des Moines, IA ยท On-site +1

$110K - $116K/yr

Remote work from any location in the US is an option for this position. Minimum requirements are a ... Apply at: $110,000 - $116,500 a year We may use artificial intelligence (AI) tools to support parts ...

As a Robotics & AI Research Engineer in our Robotics Division, you will lead pioneering research to enhance robotic capabilities through advanced artificial intelligence, focusing on areas such as ...

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Masters In Artificial Intelligence information

What are the key skills and qualifications needed to thrive with a masters in artificial intelligence?

To thrive with a Master's in Artificial Intelligence, you need a solid background in mathematics, programming (often Python), and machine learning principles, supported by an advanced degree in AI or a related field. Familiarity with tools such as TensorFlow, PyTorch, and cloud computing platforms, as well as knowledge of data analysis and visualization systems, is typically required. Strong problem-solving abilities, creativity, and effective communication skills help you design solutions and present technical concepts to diverse audiences. These competencies are crucial for developing innovative AI systems, collaborating across teams, and driving impactful technology projects.

How does earning a masters in artificial intelligence impact opportunities for interdisciplinary collaboration in professional settings?

A Master's in Artificial Intelligence uniquely positions professionals to collaborate across diverse teams, including data scientists, software engineers, and domain experts in areas like healthcare, finance, or manufacturing. Graduates often find themselves bridging gaps between technical and non-technical stakeholders, translating complex AI concepts into actionable business solutions. This interdisciplinary environment enhances problem-solving skills and offers exposure to a wide range of real-world challenges, fostering both personal and career growth. Such collaboration is highly valued by employers, as it drives innovative solutions and helps integrate AI technologies into various industries.

What is a masters in artificial intelligence?

A Masters in Artificial Intelligence is a graduate-level degree program that focuses on teaching students advanced concepts and techniques in AI, including machine learning, deep learning, natural language processing, robotics, and data science. The program is designed to equip students with both theoretical knowledge and practical skills needed to develop intelligent systems and solve real-world problems using AI technologies. Graduates are prepared for careers in industries such as technology, healthcare, finance, and academia, or for pursuing further research in the field.

What are popular job titles related to Masters In Artificial Intelligence jobs in Iowa?

For Masters In Artificial Intelligence jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Masters In Artificial Intelligence jobs in Iowa look for?

The top searched job categories for Masters In Artificial Intelligence jobs in Iowa are:

Infographic showing various Masters In Artificial Intelligence job openings in Iowa as of August 2026, with employment types broken down into 68% Full Time, 27% Part Time, and 5% Nights. Highlights an 90% In-person, and 10% Remote job distribution.

Artificial Intelligence Engineer

Scalence L.L.C.

West Des Moines, IA โ€ข On-site

$113K - $135K/yr

Full-time

Re-posted 6 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:
โ€ข 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
โ€ข Hands-on experience with AWS AI services (Bedrock, SageMaker, Textract, Translate, etc.)
โ€ข Experience with AI agent frameworks such as LangChain, AutoGen, LlamaIndex, or LangGraph
โ€ข Experience in designing and scaling RAG pipelines, vector search systems, and LLM evaluation workflows
โ€ข Familiarity with enterprise AI tools such as Claude, GPT-4/4o, ChatGPT Enterprise, Copilot, Glean, and Shelf
โ€ข Ingest and process unstructured/structured data (parsing, chunking, embeddings, retrieval)
โ€ข Develop intuitive user experiences powered by LLMs and AI agents for real-time workflows
โ€ข Drive document automation and multilingual NLP (summarization, translation, NER)
โ€ข Implement observability, governance, and responsible AI practices in compliance with regulations
โ€ข Collaborate with IT, data, compliance, and business leaders to deliver business-facing solutions
Qualifications:
Required:
โ€ข 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
โ€ข Hands-on experience with AWS AI services (Bedrock, SageMaker, Textract, Translate, etc.)
โ€ข Experience with AI agent frameworks such as LangChain, AutoGen, LlamaIndex, or LangGraph
โ€ข Experience in designing and scaling RAG pipelines, vector search systems, and LLM evaluation workflows
โ€ข Familiarity with enterprise AI tools such as Claude, GPT-4/4o, ChatGPT Enterprise, Copilot, Glean, and Shelf
โ€ข Ingest and process unstructured/structured data (parsing, chunking, embeddings, retrieval)
โ€ข Develop intuitive user experiences powered by LLMs and AI agents for real-time workflows
โ€ข Drive document automation and multilingual NLP (summarization, translation, NER)
โ€ข Implement observability, governance, and responsible AI practices in compliance with regulations
โ€ข Collaborate with IT, data, compliance, and business leaders to deliver business-facing solutions
Company:
In todayโ€™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.