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Data Engineer With Ai Jobs in Iowa (NOW HIRING)

Collaborating closely with stakeholders, you'll bring innovative ideas to life and shape the future ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

AI & Automation Delivery Engineer - Wellabe * Supports the AI & Automation Center of Excellence by ... Works with business, technology, architecture, data, security, governance, and process improvement ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Familiarity with big data engineering tools - Proficiency in SQL and data visualization tools ...

... Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques enhancing LLMs - Experience in prompt engineering ...

Showing results 41-60

Data Engineer With Ai information

What is the difference between Data Engineer With Ai vs Data Engineer?

AspectData Engineer With AiData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of AI/ML toolsBachelor's in CS, Data Science, or related; strong SQL and programming skills
Work EnvironmentData teams, AI/ML projects, cloud platformsData pipelines, database management, cloud environments
Employer & Industry UsageTech companies, AI startups, data-driven organizationsFinance, healthcare, tech, and other industries
Common Search & Comparison IntentUnderstanding AI integration in data engineeringGeneral data engineering roles and skills

Data Engineer With Ai professionals focus on integrating AI and machine learning into data pipelines, requiring knowledge of AI tools and algorithms. Data Engineers primarily build and maintain data infrastructure. While both roles share foundational skills, Data Engineer With Ai emphasizes AI/ML integration, making it suitable for organizations leveraging AI-driven insights.

Does a data engineer work with AI?

A data engineer with AI expertise works with large datasets, data pipelines, and tools like SQL, Python, and cloud platforms to support AI and machine learning projects. They prepare and manage data that AI models require for training and deployment, often collaborating with data scientists and AI engineers.

What are popular job titles related to Data Engineer With Ai jobs in Iowa?

For Data Engineer With Ai jobs in Iowa, the most frequently searched job titles are:

What cities in Iowa are hiring for Data Engineer With Ai jobs?

Cities in Iowa with the most Data Engineer With Ai job openings:

Artificial Intelligence Engineer

West Des Moines, IA • On-site

$113K - $135K/yr

Full-time

Re-posted 16 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.