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Contract Generative Ai Jobs in Colorado (NOW HIRING)

Client Contracts Specialist

Denver, CO · On-site +1

$100K - $130K/yr

Coordinate contract version control and finalization by completing redline comparisons using Litera ... Experience working with generative AI tools (e.g. Copilot and Harvey) preferred. * Excellent oral ...

Client Contracts Attorney

Denver, CO · On-site +1

$145K - $160K/yr

Coordinate contract version control and finalization by completing redline comparisons. * Oversee ... Experience working with generative AI tools (e.g. Copilot and Harvey) preferred but not required.

... contract pricing & contractual agreement to close sale. Qualifications: 1.Minimum 7+ years proven ... Knowledge of generative AI technologies, including deep learning, neural networks, and generative ...

Senior AI Automation Engineer

Denver, CO

$107K - $140K/yr

Experience applying generative AI, large language models, embeddings, vector databases, retrieval ... contract management, or procurement systems. Experience designing reusable AI reference ...

AI Business Partner

Englewood, CO · On-site

$96K - $137K/yr

This role addresses legal workflow bottlenecks, contract review stalls, and gaps in executive ... Deep AI literacy in prompt engineering, LLM behaviors, and generative AI platforms to bridge ...

Lead Data Engineer

Englewood, CO · On-site

$101K - $133K/yr

... machine learning, and generative AI techniques to enhance network security and operational ... Onsite in Englewood, CO; 12-month contract; visa-independent candidates only.

Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ... Familiarity with generative AI models * Experience in edge AI implementation * Expertise in natural ...

Counsel internal clients on generative AI, agentic AI, AI-enabled software products, and emerging ... Develop contract templates, negotiation playbooks, legal guidance materials, and training related ...

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Showing results 1-20

Contract Generative Ai information

What is a contract generative AI?

A Contract Generative AI professional is an expert who works on a contractual basis to develop, implement, or manage generative artificial intelligence solutions for organizations. This role typically involves creating AI models that can generate content, images, text, or other data using advanced machine learning techniques. Contract Generative AI professionals may work on specific projects such as building chatbots, automating content creation, or developing creative AI tools. Their expertise is often sought for temporary assignments, allowing companies to leverage AI capabilities without hiring full-time staff.

What are the key skills and qualifications needed to thrive as a contract generative AI?

To thrive as a Contract Generative AI Specialist, you need a solid background in machine learning, deep learning, and natural language processing, often backed by a degree in computer science or related fields. Experience with frameworks like TensorFlow or PyTorch, proficiency in programming languages such as Python, and familiarity with cloud platforms and model deployment tools are typically required. Strong problem-solving skills, adaptability, and clear communication help professionals excel in dynamic project environments and collaborate with diverse stakeholders. These competencies ensure the effective design, implementation, and delivery of advanced AI solutions that meet client needs and industry standards.

What are some common challenges faced by professionals in a contract generative AI role, and how can they be addressed?

Professionals working in contract Generative AI roles often encounter challenges such as rapidly adapting to new project requirements, integrating with existing client teams, and staying updated with the latest advancements in AI models and tools. Because contract positions may have tight deadlines and shifting priorities, effective communication and proactive project management are essential. Building a strong portfolio, maintaining up-to-date technical skills, and fostering collaborative relationships with client stakeholders can help address these challenges and lead to successful project outcomes.

What is the difference between Contract Generative Ai vs Data Scientist?

AspectContract Generative AiData Scientist
Required CredentialsTypically a background in AI, machine learning, or computer science; certifications in AI tools are commonDegree in data science, statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentProject-based, often freelance or temporary contracts, working with AI models and toolsFull-time or consulting roles within organizations, analyzing data to inform decisions
Employer & Industry UsageTech companies, AI startups, research institutions focusing on AI model deploymentVarious industries including finance, healthcare, tech, and marketing, focusing on data analysis

Contract Generative Ai specialists focus on developing and deploying AI models on a contractual basis, often working with specific projects. Data Scientists analyze data to extract insights, typically in a full-time role. While both roles require technical expertise, Contract Generative Ai professionals are more specialized in AI model creation, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Generative Ai jobs in Colorado?

The most popular types of Generative Ai jobs in Colorado are:

What are popular job titles related to Contract Generative Ai jobs in Colorado?

For Contract Generative Ai jobs in Colorado, the most frequently searched job titles are:

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

Wiselink Global Inc

Denver, CO • On-site

Other

Posted 10 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