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Chatbot Manager Jobs in Iowa (NOW HIRING)

Senior Finance AI & Automation Developer

Ackworth, IA · On-site +1

$95K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI Agent & Chatbot Projects * AI Workflow Projects * Predictive Modeling Projects * Educate Finance Team about AI Applications & Tools * Project Documentation and Change Management * Finance ...

Chatbot Manager information

What is a chatbot manager?

A Chatbot Manager is a professional responsible for overseeing the development, deployment, and optimization of chatbots for organizations. They coordinate between technical teams, content creators, and stakeholders to ensure chatbots provide effective customer service, support, or engagement. Their duties include analyzing chatbot performance, managing updates, and implementing improvements based on user feedback and analytics. Chatbot Managers also stay updated with the latest AI and conversational technologies to enhance user experience.

What are the key skills and qualifications needed to thrive as a chatbot manager?

To thrive as a Chatbot Manager, you need expertise in conversational design, data analysis, and a solid understanding of AI and natural language processing, often backed by a degree in computer science or a related field. Familiarity with chatbot platforms (like Dialogflow or Microsoft Bot Framework), analytics tools, and experience with APIs or scripting languages is typically required. Strong communication, problem-solving, and project management skills help you collaborate across teams and optimize user experiences. These skills are crucial for developing effective, user-friendly chatbots that drive customer engagement and achieve business objectives.

What are some common challenges faced by a chatbot manager when optimizing bot performance, and how are they typically addressed?

A Chatbot Manager often encounters challenges such as ensuring the chatbot accurately understands user intent, maintaining up-to-date responses, and handling complex or ambiguous queries. To address these, managers regularly analyze chat logs for patterns, work closely with data analysts and conversational designers to refine scripts, and implement continuous training for the chatbot using real user data. Collaborating with customer support and product teams helps ensure the bot remains aligned with evolving business needs and delivers consistent, high-quality user experiences.

What is the difference between Chatbot Manager vs Chatbot Developer?

AspectChatbot ManagerChatbot Developer
Primary RoleOversees chatbot projects, manages teams, and ensures chatbot performance aligns with business goals.Designs, codes, and implements chatbot functionalities and features.
Required SkillsProject management, communication, understanding of AI and NLP concepts.Programming languages (Python, JavaScript), AI/NLP development skills.
Work EnvironmentTypically in managerial or coordination roles within tech or customer service industries.Hands-on coding and development in software or AI teams.
Common CertificationsProject management certifications, AI/NLP courses.Programming certifications, AI/NLP training.

While a Chatbot Manager oversees the overall chatbot strategy and team, a Chatbot Developer focuses on building and coding the chatbot functionalities. Both roles often collaborate but differ in their core responsibilities and skill sets.

What are the most commonly searched types of Chatbot jobs in Iowa?

The most popular types of Chatbot jobs in Iowa are:

What are popular job titles related to Chatbot Manager jobs in Iowa?

For Chatbot Manager jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Chatbot Manager jobs in Iowa look for?

The top searched job categories for Chatbot Manager jobs in Iowa are:

Infographic showing various Chatbot Manager job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Senior AI Solutions Architect

Vultus Inc

Des Moines, IA

Full-time

Posted 28 days ago


Job description

Senior AI Solutions Architect

Job Summary

We are seeking an experienced Senior AI Solutions Architect to design, develop, and implement enterprise-scale AI and Generative AI solutions. The ideal candidate will have strong expertise in cloud architecture, large language models (LLMs), machine learning, API integrations, and modern software engineering practices. You will collaborate with cross-functional teams to deliver secure, scalable, and high-performance AI applications that solve real business challenges.

Key Responsibilities
  • Design and implement scalable AI/ML and Generative AI architectures.
  • Develop AI-powered applications using LLMs and Retrieval-Augmented Generation (RAG).
  • Integrate AI solutions with enterprise applications and third-party APIs.
  • Build vector databases and semantic search capabilities.
  • Design secure, cloud-native architectures on AWS, Azure, or Google Cloud Platform.
  • Optimize AI model performance, scalability, and cost.
  • Collaborate with product managers, developers, and data scientists throughout the development lifecycle.
  • Ensure compliance with security, privacy, and governance standards.
  • Create technical documentation and architectural diagrams.
  • Mentor development teams and establish AI engineering best practices.
Required SkillsPrimary Skills
  • Python
  • Generative AI
  • Large Language Models (OpenAI, Claude, Gemini, Llama)
  • LangChain or LlamaIndex
  • Retrieval-Augmented Generation (RAG)
  • Vector Databases (Pinecone, FAISS, Chroma, Weaviate)
  • Machine Learning
  • REST APIs
  • Docker
  • Kubernetes
  • AWS / Azure / Google Cloud Platform
  • Git
Secondary Skills
  • TensorFlow or PyTorch
  • MLOps
  • CI/CD Pipelines
  • Microservices Architecture
  • SQL & NoSQL Databases
  • Redis
  • Elasticsearch
  • Prompt Engineering
  • OAuth 2.0 / JWT Authentication
  • Agile/Scrum
Qualifications
  • Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.
  • AI/Cloud certifications are a plus.
Experience

8–12 Years

Preferred Qualifications
  • Experience delivering enterprise AI products.
  • Hands-on experience with chatbot or AI assistant development.
  • Experience integrating AI with CRM, ERP, or HR platforms.
  • Strong understanding of AI governance and responsible AI practices.
  • Excellent communication and stakeholder management skills.