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Ai Implementation Jobs in Iowa (NOW HIRING)

This is a leadership role focused on incubating ideas for automation, implementation of those ideas ... Enterprise AI Technology Strategy * Define and evolve the enterprise-wide technology strategy for ...

This is a leadership role focused on incubating ideas for automation, implementation of those ideas ... Key Responsibilities 1. Enterprise AI Technology Strategy * Define and evolve the enterprise-wide ...

This is a leadership role focused on incubating ideas for automation, implementation of those ideas ... Enterprise AI Technology Strategy * Define and evolve the enterprise-wide technology strategy for ...

Sr. AI Integration Engineer

Des Moines, IA

$101K - $136K/yr

The Senior AI Integration Engineer plays a central role in building, integrating, deploying, and ... Implement the controls required for safe production adoption, including testing, evaluation ...

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Ai Implementation information

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI engineer, AI director, or chief AI officer, often found in large tech companies or organizations with significant AI initiatives. These roles usually require advanced skills in machine learning, deep learning, data analysis, and experience with AI tools and frameworks, along with leadership responsibilities. Compensation at this level reflects extensive expertise, strategic impact, and often includes bonuses or stock options.

What are the key skills and qualifications needed to thrive in the Ai Implementation position, and why are they important?

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.

How much do AI implementation consultants make?

AI implementation consultants typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior consultants or those with specialized skills in machine learning and data analysis can earn higher salaries, often exceeding $150,000. Compensation may also include bonuses and benefits based on project success and company size.

What is an AI Implementation job?

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 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.

Which 5 jobs will survive AI?

AI implementation professionals, data scientists, cybersecurity specialists, healthcare providers, and skilled tradespeople are likely to continue thriving as these roles require complex problem-solving, human judgment, and hands-on skills that are difficult for AI to replicate. These jobs often involve critical thinking, emotional intelligence, or physical tasks that remain essential despite automation advances.
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 cities in Iowa are hiring for Ai Implementation jobs? Cities in Iowa with the most Ai Implementation job openings:
Infographic showing various Ai Implementation job openings in Iowa as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution.
AI Adoption/ Implementation Manager

AI Adoption/ Implementation Manager

Franzenburg

Des Moines, IA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 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.