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Chatbot Conversation Designer Jobs in Arizona (NOW HIRING)

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$14

$37

$49

How much do chatbot conversation designer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for chatbot conversation designer in Arizona is $37.73, according to ZipRecruiter salary data. Most workers in this role earn between $32.26 and $46.83 per hour, depending on experience, location, and employer.

What is a chatbot conversation designer?

A Chatbot Conversation Designer is responsible for creating natural and engaging conversations between users and AI-powered chatbots. They design dialogue flows, craft responses, and ensure the chatbot aligns with user needs and business goals. This role involves understanding user behavior, writing conversational scripts, and optimizing chatbot interactions based on feedback and data. Strong skills in UX writing, AI training, and conversation modeling are essential for success in this field.

What are the typical daily responsibilities of a chatbot conversation designer?

As a Chatbot Conversation Designer, your daily tasks often include crafting and refining conversational flows, writing dialogue scripts, and testing chatbot interactions to ensure they feel natural and user-friendly. You will collaborate closely with developers, product managers, and UX researchers to align chatbot functionality with user needs and company objectives. Regularly reviewing user feedback and analytics is also important for optimizing the chatbot's effectiveness. Expect a mix of creative writing, technical problem-solving, and teamwork in your everyday work, making each day both diverse and rewarding.

What are the key skills and qualifications needed to thrive in the chatbot conversation designer position, and why are they important?

To thrive as a Chatbot Conversation Designer, you need strong skills in UX writing, linguistics, and an understanding of user experience principles, usually backed by a degree in communications, design, or a related field. Familiarity with chatbot development platforms (like Dialogflow, Microsoft Bot Framework, or Rasa) and knowledge of scripting or markup languages are commonly required. Creativity, attention to detail, empathy, and the ability to collaborate across multidisciplinary teams will help you excel in this role. These skills ensure that chatbot interactions are natural, effective, and aligned with business goals, directly impacting user satisfaction and engagement.

What are popular job titles related to Chatbot Conversation Designer jobs in Arizona?

For Chatbot Conversation Designer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Chatbot Conversation Designer jobs in Arizona look for?

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Chatbot Conversation Designer jobs near you
Infographic showing various Chatbot Conversation Designer job openings in Arizona as of August 2026, with employment types broken down into 69% Full Time, 20% Part Time, 2% Temporary, and 9% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $78,468 per year, or $37.7 per hour.

Python AI Engineer

WaferWire Cloud Technologies

Phoenix, AZ • On-site

$110K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

Job Title: Python AI Engineer
Location: Salt Lake City, UT or Phoenix, AZ or Sunrise, FL
Worksite: Onsite
About WCT
WCT is a global talent solutions partner committed to delivering high-impact technology and engineering talent to some of the world's most innovative companies. As a WCT employee, you'll be part of a dynamic, growth-oriented culture that values collaboration, continuous learning, and excellence in execution.
Job Summary
  • We are hiring a Python Platform Engineer to operate and evolve the infrastructure behind an enterprise knowledge base platform that is moving from a Confluence-focused RAG chatbot into a broader agentic knowledge system.
  • Today, the platform supports Confluence/GitHub ingestion → chunking → pgvector → RAG retrieval → FastAPI serving. Over the next phase, we are expanding toward hybrid retrieval (vector + sparse + graph), multi-source ingestion, evaluation pipelines, agent infrastructure, harness and shared chat platform primitives.

What You'll Own:
  • Architect and implement backend services in Python 3.11, FastAPI, Pydantic, SQLAlchemy async, and asyncpg
  • Design retrieval and orchestration trade-offs around quality, latency, cost, safety, and operational simplicity
  • Build production-grade agent runtime capabilities: memory boundaries, tool sandboxing, permissions, and budget controls
  • Improve answer grounding, failure analysis, and citation enforcement rather than optimizing for demo behavior
  • Create observability and operational feedback loops with OpenTelemetry, Prometheus/Grafana, Docker/Helm, and GitHub Actions
  • Work closely with product and engineering partners to support multiple conversational surfaces through one knowledge platform
  • Ingestion infrastructure across current and future content sources
  • Observability across application, pipeline, database, and model-serving behavior
  • Cost, latency, throughput, and failure-mode management for AI-heavy workloads
  • Release workflows that validate AI behavior changes, not just code compilation

Qualifications:
  • Strong hands-on experience with Python in platform, automation, or infrastructure-heavy environments
  • Experience building CLI tools using Python, Golang or Rust.
  • Hands-on experience with LangGraph, LangChain, pgvector, and modern retrieval pipelines
  • Experience designing evaluation frameworks for LLM-backed systems, including regression detection and quality measurement
  • Strong experience with Docker, Helm, GitHub Actions, and Kubernetes-oriented workflows
  • Familiarity with the operational characteristics of embedding pipelines, vector search, and LLM-backed systems
  • Strong observability skills across metrics, tracing, dashboards, alerting, and log analysis
  • Experience with ingestion, ETL, or content-processing pipelines at scale
  • Ability to think in terms of reliability, cost, latency, throughput, and recovery

Nice to Have:
  • Experience with Qdrant, Neo4j, or other vector/graph infrastructure
  • Experience supporting RAG, search, evaluation, or agent platforms
  • Experience in enterprise or regulated environments
  • Familiarity with Vault, Splunk, Artifactory, ECR
  • Comfort using AI-assisted engineering workflows in day-to-day work

Compensation / Salary Range: The typical pay range for this role is: USD $110,000/Yearly - $125,000/Yearly. Factors that may affect pay within or outside of this range may include but not limited to geography/market, skills, education, experience, and other qualifications of the successful candidate.
Benefits: Medical, dental, Vision, Life, PTO, Holidays, 401(k) benefits and ancillaries may be available for eligible WCT employees and may vary depending on the nature of your employment.
WCT will accept applications and processes offers for these roles until the role is filled.
Equal Employment Opportunity Declaration:
WCT is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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