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Ai Prompt Analyst Jobs in Colorado (NOW HIRING)

... AI Implementation Analyst with a strong bias for action to join our Fortune 200 telecom field ... Develop standardized procedures, prompt libraries, and automation workflows to eliminate manual ...

... AI Implementation Analyst with a strong bias for action to join our Fortune 200 telecom field ... Develop standardized procedures, prompt libraries, and automation workflows to eliminate manual ...

... AI Implementation Analyst with a strong bias for action to join our Fortune 200 telecom field ... Develop standardized procedures, prompt libraries, and automation workflows to eliminate manual ...

... AI Implementation Analyst with a strong bias for action to join our Fortune 200 telecom field ... Develop standardized procedures, prompt libraries, and automation workflows to eliminate manual ...

AI Solutions Analyst

Greeley, CO · On-site

$90K - $127K/yr

Develop reusable agent templates, prompt libraries, and best-practice guides to accelerate adoption ... Agentic AI & LLM Orchestration: Practical experience building autonomous AI agents using frameworks ...

AI Solutions Analyst

Greeley, CO · On-site

$90K - $127K/yr

Agentic AI Design & Automation - 50% * Design, build, and deploy agentic AI workflows that ... Develop reusable agent templates, prompt libraries, and best-practice guides to accelerate adoption ...

AI Data Analytics Engineer

Fort Collins, CO · On-site

$113K - $135K/yr

Prompt engineering, model selection, and build-versus-buy tradeoffs balancing quality, latency, and ... analytics and AI into existing services and APIs. WHAT WE ARE LOOKING FOR: * 3-5 years of ...

Prompt engineering, model selection, and build-versus-buy tradeoffs balancing quality, latency, and ... analytics and AI into existing services and APIs. WHAT WE ARE LOOKING FOR: * 3-5 years of ...

Data Scientist

Denver, CO · On-site

$111K - $131K/yr

Analyze large and complex datasets to identify business trends, operational efficiencies, customer ... Experience with Generative AI, Prompt Engineering, and LLM optimization. * Knowledge of Retrieval ...

AI Security Engineer

Denver, CO · On-site

$120 - $160/hr

Identify, assess, and mitigate AI-specific threats including model poisoning, prompt injection ... Experience working with enterprise AI, machine learning, analytics platforms, or data-driven ...

Advanced analytics and statistical modeling * Strong Python with ML/AI development and prompt engineering * Data visualization and storytelling * Strong SQL skills * Leadership and stakeholder ...

Develop and iterate on prompt engineering strategies to ensure consistent, accurate, and useful ... analytics, business intelligence, data entry systems, reporting, or supporting data-driven teams ...

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Ai Prompt Analyst information

What is an AI prompt analyst?

An AI Prompt Analyst is a professional who specializes in creating, refining, and evaluating prompts to optimize the performance of artificial intelligence (AI) models, particularly large language models like ChatGPT. They analyze how AI systems respond to different inputs and adjust prompts to achieve more accurate, relevant, and useful outputs. AI Prompt Analysts often collaborate with data scientists, developers, and product teams to improve conversational AI and automate tasks efficiently. Their work is essential for maximizing the effectiveness and reliability of AI applications in various industries.

What are the key skills and qualifications needed to thrive as an AI prompt analyst?

To thrive as an AI Prompt Analyst, you need strong analytical thinking, language proficiency, and a background in computer science or linguistics. Familiarity with AI language models, prompt engineering tools, and data analysis platforms like Python or SQL is typically required. Exceptional attention to detail, creativity, and collaboration skills help set top candidates apart in developing effective AI prompts. These skills are vital for optimizing model performance, ensuring accurate outputs, and driving innovation in AI-driven solutions.

What are some common challenges AI prompt analysts face when collaborating with cross-functional teams?

Ai Prompt Analysts often work closely with engineers, designers, and product managers to refine and optimize AI-generated outputs. A common challenge is translating complex technical concepts into user-friendly prompts while ensuring alignment with project goals. Effective communication and adaptability are essential, as prompt requirements may change rapidly based on user feedback or model updates. Building strong collaboration skills helps Ai Prompt Analysts bridge gaps between technical and non-technical stakeholders, ensuring the success of AI-driven initiatives.

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

AspectAi Prompt AnalystData Analyst
Required CredentialsRelevant certifications in AI, machine learning, or NLP; often a degree in computer science or related fieldsDegree in statistics, mathematics, or data science; certifications in data analysis tools
Work EnvironmentTech companies, AI startups, or departments focusing on AI content creationBusiness, finance, healthcare, or marketing sectors analyzing data for insights
Employer & Industry UsagePrimarily in AI development, content generation, and NLP projectsAcross industries for data-driven decision making and reporting

While both roles involve working with data and technology, an Ai Prompt Analyst specializes in crafting and optimizing prompts for AI models, focusing on language and AI interaction. A Data Analyst interprets data sets to provide insights and support decision-making. The roles overlap in technical skills but differ in their core focus and application areas.

What cities in Colorado are hiring for Ai Prompt Analyst jobs?

Cities in Colorado with the most Ai Prompt Analyst job openings:

Google CCAI (Contact Center AI) & GECX Developer at Denver, CO (Onsite)

Denver, CO • On-site

Wiselink Global Inc
IT Services • 11 - 50 employees

Other

Posted 23 days ago


Job description

Job Title: Google CCAI (Contact Center AI) & GECX Developer

Location: Denver, CO (Onsite)

Long Term Contract

Job Summary

We are seeking a highly skilled Google CCAI and GECX Developer with hands-on experience in designing, developing, and implementing enterprise-grade Conversational AI solutions using the Google Cloud ecosystem. The ideal candidate will have expertise in Dialogflow CX, GECX Playbooks, Conversational AI, Python-based integrations, API orchestration, and cloud-native application development. Experience in contact center transformation, virtual agent modernization, and migration projects from legacy IVR/chatbot platforms to Google CCAI/GECX is highly preferred.

Key Responsibilities

Conversational AI Development

  • Design, develop, and maintain intelligent virtual agents using Google Dialogflow CX and Google Contact Center AI (CCAI).
  • Build voice and chat automation solutions for customer service, sales, technical support, billing, payments, account management, and other contact-center use cases.
  • Configure and manage intents, entities, routes, flows, pages, fulfillment, session parameters, and event handlers.
  • Develop reusable conversation components and enterprise chatbot frameworks.

GECX / Generative AI Implementation

  • Design and develop Google GECX (GenCX) Playbooks utilizing Large Language Models (LLMs).
  • Implement generative AI-powered customer journeys leveraging Gemini and Vertex AI services.
  • Build and optimize prompts, grounding strategies, response generation logic, and conversational guardrails.
  • Perform prompt engineering, prompt evaluation, and conversation tuning activities.

Integration & Backend Development

  • Develop Python-based webhooks and fulfillment services.
  • Integrate conversational solutions with enterprise applications using REST APIs, gRPC services, middleware platforms, and cloud services.
  • Implement secure authentication mechanisms including OAuth, JWT, and API key-based integrations.
  • Build orchestration layers for customer profile retrieval, account validation, transaction processing, and backend workflows.

Migration & Modernization Projects

  • Participate in migration initiatives involving:
    • Legacy IVR to Google CCAI migration
    • Dialogflow ES to Dialogflow CX migration
    • Chatbot platform migration to Google Conversational AI
    • Legacy rule-based bots to Generative AI-based virtual agents
  • Analyze existing conversation flows, intents, call-routing logic, and backend integrations.
  • Execute migration assessments, solution mapping, conversation redesign, and deployment activities.
  • Support data migration, knowledge migration, and conversational experience modernization efforts.

DevOps & Production Support

  • Manage source code repositories using Git-based version control systems.
  • Support CI/CD deployment pipelines across development, testing, staging, and production environments.
  • Troubleshoot production issues and implement root-cause analysis.
  • Conduct regression testing, performance validation, and release management activities.

Required Technical Skills

Google CCAI Technologies

  • Google Contact Center AI (CCAI)
  • Dialogflow CX
  • Conversational AI
  • Virtual Agent Development
  • Contact Center Automation

GECX / Generative AI

  • Google GenCX / GECX Playbooks
  • Gemini Models
  • Vertex AI
  • Prompt Engineering
  • Prompt Evaluation
  • LLM Integrations
  • AI Agent Design

Development

  • Python
  • REST APIs
  • gRPC
  • Webhook Development
  • Microservices Architecture

Cloud Technologies

  • Google Cloud Platform (Google Cloud Platform)
  • Cloud Functions
  • Cloud Run
  • BigQuery
  • Vertex AI
  • Pub/Sub
  • Cloud Storage

Database & Tools

  • SQL
  • Postman
  • GitHub
  • GitLab
  • JIRA

Preferred Skills

  • Experience with telecom, banking, healthcare, retail, or customer service contact centers.
  • Knowledge of speech analytics and conversational analytics.
  • Hands-on experience with RAG (Retrieval Augmented Generation) architectures.
  • Experience with LangChain, LangGraph, AI agents, and Agentic AI frameworks.
  • Exposure to omnichannel customer engagement platforms.
  • Understanding of IVR call flows, contact center operations, and customer experience transformation programs.

Preferred Migration Experience

Candidates with experience in any of the following will be strongly preferred:

  • Genesys to Google CCAI migration
  • NICE CXone to Google CCAI migration
  • Amazon Connect to Google CCAI migration
  • Legacy IVR modernization programs
  • Dialogflow ES to CX migration
  • Traditional chatbot to Generative AI bot transformation
  • Knowledge base migration and conversational redesign initiatives
  • Contact center cloud migration programs

Certifications (Preferred)

  • Google Professional Cloud Architect
  • Google Professional Cloud Developer
  • Google Cloud Digital Leader
  • Google Generative AI Certifications
  • Google Contact Center AI Certifications