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Ai Implementation Jobs in Iowa (NOW HIRING)

Pwc

AI & GenAI Data Scientist - Manager

Des Moines, IA · On-site

$99K - $232K/yr

Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Leading teams in the development of scalable machine learning models and solutions - Managing ...

New

Yourcaptive

AI Engineer

Waukee, IA · On-site

$110 - $160/hr

Design, develop, and implement AI-enabled solutions that improve business processes, support intelligent automation, and advance enterprise technology objectives.* Prototype, configure, test, and ...

Holmes Murphy

AI Engineer

Waukee, IA

Design, develop, and implement AI-enabled solutions that improve business processes, support intelligent automation, and advance enterprise technology objectives. * Prototype, configure, test, and ...

Holmes Murphy

AI Engineer

Waukee, IA · On-site

Design, develop, and implement AI-enabled solutions that improve business processes, support intelligent automation, and advance enterprise technology objectives. * Prototype, configure, test, and ...

Innovative Captive Strategies

AI Engineer

Waukee, IA · On-site

Design, develop, and implement AI-enabled solutions that improve business processes, support intelligent automation, and advance enterprise technology objectives. * Prototype, configure, test, and ...

Holmes Murphy

AI Engineer

Waukee, IA · On-site

Design, develop, and implement AI-enabled solutions that improve business processes, support intelligent automation, and advance enterprise technology objectives. * Prototype, configure, test, and ...

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Ai Implementation information

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What are popular job titles related to Ai Implementation jobs in Iowa?

For Ai Implementation jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Ai Implementation jobs in Iowa look for?

The top searched job categories for Ai Implementation jobs in Iowa are:

What cities in Iowa are hiring for Ai Implementation jobs?

Cities in Iowa with the most Ai Implementation job openings:

Ai Implementation jobs near you
Infographic showing various Ai Implementation job openings in Iowa as of August 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Adoption/ Implementation Manager

Des Moines, IA • On-site

Franzenburg
Machinery Manufacturing • 11 - 50 employees
Learn more about Franzenburgexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Job description

•  AI Integration Specialist

•  AI Adoption / Implementation Manager

•  Generative AI Solutions Architect 

Job Description

Position Summary

We are seeking a hands-on AI Integration Specialist to lead the integration of Claude (and complementary AI tools) into our core business operations. The ideal candidate will identify high-impact use cases, build automated workflows, connect AI to existing tools (CRM, email, accounting, project management, etc.), train the team, and drive measurable efficiency gains. This is a practical, results-oriented role focused on embedding AI into daily processes to save time, improve decision-making, and scale operations—particularly around customer relationship management and business growth.

Key Responsibilities

•  Assess current business workflows and identify opportunities to integrate Claude AI (via API, Claude Projects, Claude Code/Cowork, or desktop tools) for automation in areas like customer outreach, content generation, data analysis, reporting, email responses, inventory/operations notes, and knowledge management.

•  Design, build, and deploy end-to-end AI-powered workflows, including prompt engineering, custom instructions, skills/agents, integrations with tools like Zapier, Make.com, Salesforce, Google Workspace, or custom APIs.

•  Ensure secure, compliant, and reliable AI usage (data privacy, hallucination mitigation, output validation).

•  Collaborate with department leads (sales, operations, marketing, finance) to pilot and roll out AI solutions, then measure ROI (time saved, error reduction, revenue impact).

•  Provide training, documentation, and ongoing support to non-technical team members so they can effectively use AI tools.

•  Monitor AI performance, troubleshoot issues, and stay current with Anthropic/Claude updates and new features.

•  Recommend additional AI tools or enhancements as needed while keeping the focus on Claude where it excels (reasoning, coding, long-context tasks).

•  Manage costs (API usage, subscriptions) and scale integrations without disrupting operations.

Required Qualifications

•  2–5+ years of practical experience integrating generative AI tools (strong preference for Claude/Anthropic ecosystem, including API, Projects, Code, or Cowork).

•  Proficiency in prompt engineering, building AI agents/workflows, and integrating AI with business software (no-code/low-code tools like Zapier, n8n, or custom scripting in Python/Node.js a plus).

•  Understanding of business operations and how AI can automate repetitive or knowledge-based tasks.

•  Strong problem-solving skills and ability to translate business needs into technical AI implementations.

•  Excellent communication and training skills—able to explain AI concepts simply to non-technical staff.

•  Experience with data privacy, security best practices, and evaluating AI outputs for accuracy.

Preferred Qualifications

•  Experience in small-to-medium businesses or service-based industries (e.g., customer-focused operations).

•  Familiarity with CRM systems, email marketing, or customer data workflows.

•  Basic coding/scripting ability for custom integrations.

•  Track record of delivering measurable efficiency gains (e.g., hours saved per week, processes automated).

Education

Bachelor’s degree in Computer Science, Information Systems, Business, or related field (or equivalent practical experience).

What Success Looks Like

Within the first 3–6 months: 5–10 high-value workflows live, team adoption increasing, and documented time/cost savings.