CX-Led-Growth Evangelist

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Ahmed Mohsen
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Popular conversational AI career paths

Conversation Designer

A conversation designer makes sure AI assistants speak in a way that’s productive for both the business and the customer. In some use cases they write the scripts, in some use cases they prompt an LLM to speak in a certain way. This role requires a blend of creativity and technical know-how ensuring that AI assistants provide natural and helpful responses.

Skills required: UX design, linguistics, AI technology

Technology understanding: Basic understanding of conversational platforms, no programming required.

Personality traits:

  • Creative problem-solver: Enjoys thinking outside the box.
  • Empathetic listener: Designs for user satisfaction.
  • Detail-oriented: Crafts precise conversational interactions.

Salary range (USD): The salary ranges described below come from job postings in the US and they may vary per region and vertical.

  • Entry-Level: $55,000 – $70,000
  • Experienced: $80,000 – $100,000
  • Senior: $110,000 – $140,000

Certificates: CXD1 Certificate, CXD2 Certificate

AI Trainer

The AI trainer implements dialogues and ensures the AI Assistant continues to learn and improve over time. By training AI systems to understand user input accurately, AI trainers play a critical role in optimizing an AI Assistant’s performance.

Skills required: Data analysis, natural language understanding (NLU)

Technology understanding: Familiarity with NLP/NLU tools and a deep understanding of conversational platforms

Personality traits:

  • Analytical thinker: Loves working with data.
  • Patient and persistent: Thrives on continuous improvement.
  • Curious learner: Stays ahead of AI advancements.

Salary range (USD): The salary ranges described below come from job postings in the US and they may vary per region and vertical.

  • Entry-Level: $60,000 – $75,000
  • Experienced: $85,000 – $105,000
  • Senior: $110,000 – $130,000

Certificates: AIT1 Certificate, AIT2 Certificate

Prompt Designer

Prompt designers, also commonly referred to as AI engineers or AI developers, build and maintain the technical systems that power AI assistants, with a special focus on generative AI. This role is highly technical, requiring expertise in programming and AI frameworks.

Skills Required: Programming (Python, Java, C++), machine learning, AI frameworks

Technology Understanding: Proficiency in languages like Python and C++ for developing AI systems, as well as frameworks like TensorFlow, PyTorch, and Azure AI for deploying models.

Personality Traits:

  • Logical and structured: Solves complex technical challenges.
  • Resilient and adaptable: Can troubleshoot and integrate new technologies.
  • Detail-oriented: Is precise and works in a structural manner.

Salary Range (USD): The salary ranges described below come from job postings in the US and they may vary per region and vertical.

  • Entry-Level: $85,000 – $100,000
  • Experienced: $120,000 – $150,000
  • Senior: $160,000 – $200,000

Certificates: PD1 Certificate, PD2 Certificate