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Conversational Ai Analyst Jobs (NOW HIRING)

Responsibilities: Conversational AI Platform Development: * Design, build, and support ... Perform root-cause analysis for defects, outages, and performance issues, and implement long-term ...

... analytics, user feedback, and AI evaluation metrics. • Implement guardrails, content moderation, authentication, and security best practices for conversational AI applications. • Collaborate with ...

Conversational AI Developer Locations: Irving/Dallas, Texas & Jacksonville Florida Duration ... sentiment analysis to understand user queries effectively. * Ensure security and compliance:

Responsibilities: Conversational AI Platform Development: * Design, build, and support ... Perform root-cause analysis for defects, outages, and performance issues, and implement long-term ...

Conduct market research and analysis to identify customer needs, trends, and opportunities in the Conversational AI space. * Collaborate with cross-functional teams including engineering, design, and ...

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Conversational Ai Analyst information

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How much do conversational ai analyst jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for conversational ai analyst in the United States is $35.97, according to ZipRecruiter salary data. Most workers in this role earn between $25.24 and $42.07 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

For a Conversational AI Analyst, roles that require complex human interaction, creativity, and emotional intelligence are likely to persist, such as mental health professionals, creative writers, and strategic consultants. These jobs involve nuanced understanding and empathy that AI tools currently cannot replicate fully. Additionally, roles that focus on overseeing, training, and improving AI systems will remain essential as AI technology advances.

How much do AI analysts make?

AI analysts typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Entry-level positions may start around $60,000, while senior roles or specialized skills can command higher salaries. Knowledge of data analysis, machine learning tools, and programming languages like Python or R can influence earning potential.

What is the salary of conversational AI consultant?

The salary of a conversational AI analyst typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with specialized skills in natural language processing and machine learning may earn higher compensation, especially with certifications or advanced degrees.

What is a 900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI executives, senior data scientists, or machine learning directors, often requiring advanced skills, extensive experience, and leadership responsibilities. These positions usually offer top-tier compensation reflecting their strategic importance and expertise in developing and managing AI systems.

What are some common challenges faced by Conversational AI Analysts when improving chatbot performance?

Conversational AI Analysts often encounter challenges such as accurately interpreting user intent, handling ambiguous queries, and managing the evolving language used by customers. They must continuously analyze conversation logs, identify areas where the AI fails to provide satisfactory responses, and collaborate with data scientists, developers, and UX designers to refine natural language models. Staying up-to-date with advancements in NLP technologies and ensuring that the chatbot aligns with business goals are also important aspects of the role.

What is the difference between Conversational Ai Analyst vs Data Analyst?

AspectConversational Ai AnalystData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of NLP and AI toolsBachelor's in Statistics, Math, or related; proficiency in data analysis tools
Work EnvironmentTech companies, AI startups, customer service platformsBusiness, finance, healthcare, and other industries
Employer & Industry UsageAI-focused companies, tech firms, customer experience teamsVarious sectors analyzing data for insights and decision-making

The Conversational Ai Analyst specializes in developing and optimizing AI chatbots and voice assistants, focusing on natural language processing. In contrast, the Data Analyst interprets data sets to inform business decisions across industries. While both roles require analytical skills and familiarity with data tools, the Conversational Ai Analyst emphasizes AI and NLP technologies, whereas the Data Analyst centers on data visualization and statistical analysis.

What does a Conversational AI Analyst do?

A Conversational AI Analyst is responsible for designing, analyzing, and optimizing AI-driven conversational interfaces such as chatbots and virtual assistants. They use data to evaluate user interactions, identify patterns, and suggest improvements to enhance user experience and accuracy. Their work often involves collaborating with developers, data scientists, and UX designers, as well as conducting A/B testing and monitoring performance metrics. The ultimate goal is to ensure the conversational AI systems are effective, efficient, and aligned with business objectives.

What are the key skills and qualifications needed to thrive as a Conversational AI Analyst, and why are they important?

To thrive as a Conversational AI Analyst, you need a solid background in data analysis, natural language processing (NLP), and linguistics, often supported by a degree in computer science, linguistics, or a related field. Familiarity with analytics platforms, chatbot development tools (such as Dialogflow or Rasa), and scripting languages like Python is typically required. Strong problem-solving ability, attention to detail, and effective communication skills help you interpret data insights and collaborate with cross-functional teams. These competencies are crucial for designing, optimizing, and evaluating AI-driven conversational systems to ensure accurate and user-friendly interactions.
More about Conversational Ai Analyst jobs
What cities are hiring for Conversational Ai Analyst jobs? Cities with the most Conversational Ai Analyst job openings:
What states have the most Conversational Ai Analyst jobs? States with the most job openings for Conversational Ai Analyst jobs include:
Conversational AI Engineer

Conversational AI Engineer

Axos Bank

San Diego, CA • On-site

$70K - $93K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

Axos Bank
Target Range:
$70,304.00 /Yr - $93,000.00 /Yr.
Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education.
Eligible for an Annual Discretionary Cash Bonus Target: 10%
Eligible for an Annual Discretionary Restricted Stock Units Bonus Target: 10%
These discretionary target bonuses may be awarded semi-annually based upon your achievement of performance goals and targets.
About This Job
We are seeking an experienced Conversational AI Engineer to design, build, and support advanced conversational solutions across our omnichannel ecosystem. This role works primarily within the Google CCAS suite, including Dialogflow Conversational Agents, and GCP, and plays a critical role in both production support and platform enhancements.
The position carries a strong emphasis on custom development, system integrations, and the delivery of scalable, secure, and reliable conversational AI solutions. This role is ideal for an engineer who is comfortable working across the full solution stack, from conversational design through backend services and cloud infrastructure.
Responsibilities:
Conversational AI Platform Development:
  • Design, build, and support conversational AI solutions across omnichannel platforms, with a primary focus on the Google CCAS suite, including Dialogflow Conversational Agents.

Production Support & Reliability Engineering:
  • Provide production support for conversational platforms and supporting services by troubleshooting conversational logic, webhook failures, backend integration issues, logs, and monitoring dashboards.

  • Perform root-cause analysis for defects, outages, and performance issues, and implement long-term corrective solutions.

  • Define and uphold production readiness standards, including observability, reliability, performance, scalability, and cost efficiency for conversational and AI services.

Architecture & Custom Development:
  • Design and implement microservices-based architectures to support conversational AI, integrations, and business workflows.

  • Create reusable frameworks, shared libraries, and common components to accelerate development and promote consistency across conversational solutions.

Systems Integration & API Engineering:
  • Design and implement secure API integrations, including authentication and authorization flows, error handling, data transformation, middleware services, and proxy layers.

Documentation, Collaboration, & Technical Leadership:
  • Create and maintain technical documentation and architectural artifacts to support knowledge sharing and long-term maintainability.

  • Collaborate with product, business, and engineering stakeholders to translate requirements into well-architected technical solutions.

  • Provide technical leadership by contributing to architectural decisions, evaluating vendor solutions, and leading proof-of-concept (POC) initiatives.

  • Stay current with advancements in conversational AI, cloud services, and AI/ML technologies through experimentation and continuous learning.

Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related technical field.
  • 3+ years experience in software development, cloud platforms/architecture, or related IT role.
  • Cloud Architecture: Preferably hands-on experience with Google Cloud Platform (GCP) services including Cloud Run, API Gateway, Cloud Storage, BigQuery, and Vertex AI, or similar cloud architecture experience.
  • Software Development: Strong proficiency in programming, preferably with Python and JavaScript, and experience building backend services.
  • Strong analytical, problem-solving, and communication skills, with the ability to translate ambiguous requirements into actionable technical solutions.

Axos Employee Benefits May Include:
  • Medical, Dental, Vision, and Life Insurance
  • Paid Sick Leave, 3 weeks' Vacation, and Holidays (about 11 a year)
  • HSA or FSA account and other voluntary benefits
  • 401(k) Retirement Saving Plan with Employer Match Program and 529 Savings Plan
  • Employee Mortgage Loan Program and free access to an Axos Bank Account with Self-Directed Trading

About Axos
Born digital-first, Axos delivers financial tools and services that allow individuals, small businesses, and companies to access and manage their money how, when, and where they want. We're a diverse team of dynamic, insightful, and independent innovators who are excited to provide technology-driven solutions that offer unbeatable value to our customers.
Axos Financial is our holding company and is publicly traded on the New York Stock Exchange under the symbol "AX" (NYSE: AX).
Learn more about working at Axos
Pre-Employment Background Check and Drug Test:
All offers are contingent upon the candidate successfully passing a credit check, criminal background check, and pre-employment drug screening, which includes screening for marijuana. Axos Bank is a federally regulated banking institution. At the federal level, marijuana is an illegal schedule 1 drug; therefore, we will not employ any person who tests positive for marijuana, regardless of state legalization.
Equal Employment Opportunity:
Axos is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state, and local laws.
Job Functions and Work Environment:
While performing the duties of this position, the employee is required to sit for extended periods of time. Manual dexterity and coordination are required while operating standard office equipment such as computer keyboard and mouse, calculator, telephone, copiers, etc.
The work environment characteristics described here are representative of those an employee may encounter while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.
E-Verify and Right to Work Notices
Axos participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States. The E-Verify program is an internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.
IER Right to Work Poster (English/Spanish)
E-Verify Participation Poster (English/Spanish)