Job Details

Skills

Generative Artificial Intelligence (AI)
Customer Support
Database
Decision-making
Customer Relationship Management (CRM)
Customer Service
Continuous Delivery
Continuous Integration
Customer Experience
Cloud Computing
Communication
Enterprise Integration
Artificial Intelligence
Semantic Search
Semantics
Routing
Salesforce.com
Scalability
Search Technologies
Orchestration
Prompt Engineering
Python
Systems Design
Use Cases
Vector Databases
Workflow
LlamaIndex
Mentorship
Microservices
Node.js
IT Management
Issue Resolution
Java
LangChain
Good Clinical Practice
Google Cloud
Google Cloud Platform
Autogen
Business Rules
Collaboration
Solution Architecture
Evaluation
Reasoning
Software Design
Vertex
Agentic AI
Generative AI
GenAI
LLM
Large Language Models
AI Agents
Multi-Agent Systems
RAG
Retrieval-Augmented Generation
AI Orchestration
Tool Calling
Function Calling
CrewAI
Semantic Kernel
Vertex AI
Gemini
GCP
Dialogflow CX
Vertex AI Agent Builder
Vertex AI Search
REST APIs
Event-Driven Architecture
Distributed Systems
BigQuery
Pub/Sub
Cloud Run
Cloud Functions
GKE
Kubernetes
Pinecone
FAISS
Weaviate
Vector Database
Conversational AI
CX
Contact Center
Customer Support Automation
Chatbots
Voicebots
CRM
Salesforce
Omnichannel
Customer Journey Orchestration
Intelligent Routing
AI Copilots
AI Automation
Guardrails
Responsible AI
AI Safety
AI Evaluation
Observability
CI/CD
System Design
Cloud Architecture
Technical Leadership
Agentic Workflows
Agent Orchestration
Autonomous AI
AI Workflow Automation
LLMOps
GenAI Architecture
AI Solution Architecture
AI Platform Engineering
AI Application Development
LLM Applications
Foundation Models
Gemini API
Vertex AI SDK
Agent Builder
Conversational AI Architecture
Conversational Workflow
Multi-Turn Conversations
Context Management
Agent Memory
AI Tool Use
Tool Integration
API Orchestration
MCP (Model Context Protocol)
AI Gateway
Prompt Optimization
Prompt Templates
Embeddings
Vector Search
Semantic Retrieval
Hybrid Search
Knowledge Graph
Enterprise RAG
Grounded Generation
Model Evaluation
LLM Evaluation
Hallucination Mitigation
Prompt Injection
AI Security
AI Governance
Human-in-the-Loop
Human-AI Collaboration
Contact Center AI
CCaaS
Virtual Agent
Voice AI
IVR
Dialog Management
Customer Journey Mapping
Customer Service Automation
CRM Integration
Salesforce Integration
Omnichannel CX
Personalization
Case Management
Workflow Orchestration
Event-Driven Systems
Serverless
Cloud-Native Architecture
Docker
REST API
GraphQL
Backend Integration
MLOps
AI Observability
Model Monitoring
Enterprise Architecture
Solution Design

Generative Artificial Intelligence (AI)
Customer Support
Database
Decision-making
Customer Relationship Management (CRM)
Customer Service
Continuous Delivery
Continuous Integration
Customer Experience
Cloud Computing
Communication
Enterprise Integration
Artificial Intelligence
Semantic Search
Semantics
Routing
Salesforce.com
Scalability
Search Technologies
Orchestration
Prompt Engineering
Python
Systems Design
Use Cases
Vector Databases
Workflow
LlamaIndex
Mentorship
Microservices
Node.js
IT Management
Issue Resolution
Java
LangChain
Good Clinical Practice
Google Cloud
Google Cloud Platform
Autogen
Business Rules
Collaboration
Solution Architecture
Evaluation
Reasoning
Software Design
Vertex
Agentic AI
Generative AI
GenAI
LLM
Large Language Models
AI Agents
Multi-Agent Systems
RAG
Retrieval-Augmented Generation
AI Orchestration
Tool Calling
Function Calling
CrewAI
Semantic Kernel
Vertex AI
Gemini
GCP
Dialogflow CX
Vertex AI Agent Builder
Vertex AI Search
REST APIs
Event-Driven Architecture
Distributed Systems
BigQuery
Pub/Sub
Cloud Run
Cloud Functions
GKE
Kubernetes
Pinecone
FAISS
Weaviate
Vector Database
Conversational AI
CX
Contact Center
Customer Support Automation
Chatbots
Voicebots
CRM
Salesforce
Omnichannel
Customer Journey Orchestration
Intelligent Routing
AI Copilots
AI Automation
Guardrails
Responsible AI
AI Safety
AI Evaluation
Observability
CI/CD
System Design
Cloud Architecture
Technical Leadership
Agentic Workflows
Agent Orchestration
Autonomous AI
AI Workflow Automation
LLMOps
GenAI Architecture
AI Solution Architecture
AI Platform Engineering
AI Application Development
LLM Applications
Foundation Models
Gemini API
Vertex AI SDK
Agent Builder
Conversational AI Architecture
Conversational Workflow
Multi-Turn Conversations
Context Management
Agent Memory
AI Tool Use
Tool Integration
API Orchestration
MCP (Model Context Protocol)
AI Gateway
Prompt Optimization
Prompt Templates
Embeddings
Vector Search
Semantic Retrieval
Hybrid Search
Knowledge Graph
Enterprise RAG
Grounded Generation
Model Evaluation
LLM Evaluation
Hallucination Mitigation
Prompt Injection
AI Security
AI Governance
Human-in-the-Loop
Human-AI Collaboration
Contact Center AI
CCaaS
Virtual Agent
Voice AI
IVR
Dialog Management
Customer Journey Mapping
Customer Service Automation
CRM Integration
Salesforce Integration
Omnichannel CX
Personalization
Case Management
Workflow Orchestration
Event-Driven Systems
Serverless
Cloud-Native Architecture
Docker
REST API
GraphQL
Backend Integration
MLOps
AI Observability
Model Monitoring
Enterprise Architecture
Solution Design

Summary

Role:Senior AI Architect – Agentic AI & Customer Experience

Location: Denver, CO — Hybrid (3–4 days onsite/week)
Duration:12 Months

Job Overview:

We are seeking a Senior AI Engineer / Architect with strong experience in Generative AI, Agentic AI, LLMs, and Google Cloud to design and develop next-generation Customer Experience (CX) solutions.

The ideal candidate will have a combination of hands-on engineering, AI architecture, agent orchestration, enterprise integration, and customer-experience expertise, with the ability to work closely with technical and business stakeholders.

Key Responsibilities:

Design scalable, secure, and enterprise-ready Agentic AI and Generative AI architectures.
Build autonomous and semi-autonomous single- and multi-agent systems capable of reasoning, decision-making, and tool execution.
Develop LLM applications using Google Vertex AI, Gemini, RAG, prompt engineering, and grounding techniques.
Build AI agents using LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or Vertex AI Agent Builder.
Implement tool/function calling and integrations with APIs, CRM platforms, databases, workflows, and enterprise systems.
Develop conversational AI, customer-support copilots, virtual agents, and intelligent automation solutions.
Design CX capabilities including contact-center automation, omnichannel conversations, intelligent routing, issue resolution, and personalization.
Work with Google Cloud Platform services including Vertex AI, Dialogflow CX, BigQuery, Pub/Sub, Cloud Run, Cloud Functions, and GKE.
Design microservices and event-driven architectures and support CI/CD, monitoring, observability, scalability, and reliability.
Implement AI guardrails, security, safety, evaluation, and monitoring.
Work with vector/search technologies such as Pinecone, FAISS, Weaviate, and Vertex AI Search.
Collaborate with product/business stakeholders to understand requirements, define AI use cases, customer journeys, workflows, and business rules.
Provide technical leadership, architecture guidance, mentoring, and establish reusable AI engineering practices.

Required Skills:

Strong experience with Generative AI, LLMs, Agentic AI, RAG, and prompt engineering.
Strong programming experience in Python, Java, or Node.js.
Hands-on experience with LangChain, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, or similar agent frameworks.
Strong Google Cloud / Vertex AI / Gemini experience.
Experience with Dialogflow CX / Agent Builder.
Experience with APIs, microservices, distributed systems, and event-driven architecture.
Experience with vector databases and semantic search.
Experience with CRM, contact-center, conversational AI, or Customer Experience platforms.
Strong system-design and solution-architecture skills.
Excellent communication skills with the ability to work across engineering, product, and business teams.

Preferred:

Experience with Salesforce or other enterprise CRM platforms.
Experience building production-grade Agentic AI solutions.
Experience with AI governance, responsible AI, evaluation, and security.
Experience in customer-service or contact-center transformation.

Job Details

Skills

Generative Artificial Intelligence (AI)
Customer Support
Database
Decision-making
Customer Relationship Management (CRM)
Customer Service
Continuous Delivery
Continuous Integration
Customer Experience
Cloud Computing
Communication
Enterprise Integration
Artificial Intelligence
Semantic Search
Semantics
Routing
Salesforce.com
Scalability
Search Technologies
Orchestration
Prompt Engineering
Python
Systems Design
Use Cases
Vector Databases
Workflow
LlamaIndex
Mentorship
Microservices
Node.js
IT Management
Issue Resolution
Java
LangChain
Good Clinical Practice
Google Cloud
Google Cloud Platform
Autogen
Business Rules
Collaboration
Solution Architecture
Evaluation
Reasoning
Software Design
Vertex
Agentic AI
Generative AI
GenAI
LLM
Large Language Models
AI Agents
Multi-Agent Systems
RAG
Retrieval-Augmented Generation
AI Orchestration
Tool Calling
Function Calling
CrewAI
Semantic Kernel
Vertex AI
Gemini
GCP
Dialogflow CX
Vertex AI Agent Builder
Vertex AI Search
REST APIs
Event-Driven Architecture
Distributed Systems
BigQuery
Pub/Sub
Cloud Run
Cloud Functions
GKE
Kubernetes
Pinecone
FAISS
Weaviate
Vector Database
Conversational AI
CX
Contact Center
Customer Support Automation
Chatbots
Voicebots
CRM
Salesforce
Omnichannel
Customer Journey Orchestration
Intelligent Routing
AI Copilots
AI Automation
Guardrails
Responsible AI
AI Safety
AI Evaluation
Observability
CI/CD
System Design
Cloud Architecture
Technical Leadership
Agentic Workflows
Agent Orchestration
Autonomous AI
AI Workflow Automation
LLMOps
GenAI Architecture
AI Solution Architecture
AI Platform Engineering
AI Application Development
LLM Applications
Foundation Models
Gemini API
Vertex AI SDK
Agent Builder
Conversational AI Architecture
Conversational Workflow
Multi-Turn Conversations
Context Management
Agent Memory
AI Tool Use
Tool Integration
API Orchestration
MCP (Model Context Protocol)
AI Gateway
Prompt Optimization
Prompt Templates
Embeddings
Vector Search
Semantic Retrieval
Hybrid Search
Knowledge Graph
Enterprise RAG
Grounded Generation
Model Evaluation
LLM Evaluation
Hallucination Mitigation
Prompt Injection
AI Security
AI Governance
Human-in-the-Loop
Human-AI Collaboration
Contact Center AI
CCaaS
Virtual Agent
Voice AI
IVR
Dialog Management
Customer Journey Mapping
Customer Service Automation
CRM Integration
Salesforce Integration
Omnichannel CX
Personalization
Case Management
Workflow Orchestration
Event-Driven Systems
Serverless
Cloud-Native Architecture
Docker
REST API
GraphQL
Backend Integration
MLOps
AI Observability
Model Monitoring
Enterprise Architecture
Solution Design

Generative Artificial Intelligence (AI)
Customer Support
Database
Decision-making
Customer Relationship Management (CRM)
Customer Service
Continuous Delivery
Continuous Integration
Customer Experience
Cloud Computing
Communication
Enterprise Integration
Artificial Intelligence
Semantic Search
Semantics
Routing
Salesforce.com
Scalability
Search Technologies
Orchestration
Prompt Engineering
Python
Systems Design
Use Cases
Vector Databases
Workflow
LlamaIndex
Mentorship
Microservices
Node.js
IT Management
Issue Resolution
Java
LangChain
Good Clinical Practice
Google Cloud
Google Cloud Platform
Autogen
Business Rules
Collaboration
Solution Architecture
Evaluation
Reasoning
Software Design
Vertex
Agentic AI
Generative AI
GenAI
LLM
Large Language Models
AI Agents
Multi-Agent Systems
RAG
Retrieval-Augmented Generation
AI Orchestration
Tool Calling
Function Calling
CrewAI
Semantic Kernel
Vertex AI
Gemini
GCP
Dialogflow CX
Vertex AI Agent Builder
Vertex AI Search
REST APIs
Event-Driven Architecture
Distributed Systems
BigQuery
Pub/Sub
Cloud Run
Cloud Functions
GKE
Kubernetes
Pinecone
FAISS
Weaviate
Vector Database
Conversational AI
CX
Contact Center
Customer Support Automation
Chatbots
Voicebots
CRM
Salesforce
Omnichannel
Customer Journey Orchestration
Intelligent Routing
AI Copilots
AI Automation
Guardrails
Responsible AI
AI Safety
AI Evaluation
Observability
CI/CD
System Design
Cloud Architecture
Technical Leadership
Agentic Workflows
Agent Orchestration
Autonomous AI
AI Workflow Automation
LLMOps
GenAI Architecture
AI Solution Architecture
AI Platform Engineering
AI Application Development
LLM Applications
Foundation Models
Gemini API
Vertex AI SDK
Agent Builder
Conversational AI Architecture
Conversational Workflow
Multi-Turn Conversations
Context Management
Agent Memory
AI Tool Use
Tool Integration
API Orchestration
MCP (Model Context Protocol)
AI Gateway
Prompt Optimization
Prompt Templates
Embeddings
Vector Search
Semantic Retrieval
Hybrid Search
Knowledge Graph
Enterprise RAG
Grounded Generation
Model Evaluation
LLM Evaluation
Hallucination Mitigation
Prompt Injection
AI Security
AI Governance
Human-in-the-Loop
Human-AI Collaboration
Contact Center AI
CCaaS
Virtual Agent
Voice AI
IVR
Dialog Management
Customer Journey Mapping
Customer Service Automation
CRM Integration
Salesforce Integration
Omnichannel CX
Personalization
Case Management
Workflow Orchestration
Event-Driven Systems
Serverless
Cloud-Native Architecture
Docker
REST API
GraphQL
Backend Integration
MLOps
AI Observability
Model Monitoring
Enterprise Architecture
Solution Design

Summary

Role:Senior AI Architect – Agentic AI & Customer Experience

Location: Denver, CO — Hybrid (3–4 days onsite/week)
Duration:12 Months

Job Overview:

Key Responsibilities:

Design scalable, secure, and enterprise-ready Agentic AI and Generative AI architectures.
Build autonomous and semi-autonomous single- and multi-agent systems capable of reasoning, decision-making, and tool execution.
Develop LLM applications using Google Vertex AI, Gemini, RAG, prompt engineering, and grounding techniques.
Build AI agents using LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or Vertex AI Agent Builder.
Implement tool/function calling and integrations with APIs, CRM platforms, databases, workflows, and enterprise systems.
Develop conversational AI, customer-support copilots, virtual agents, and intelligent automation solutions.
Design CX capabilities including contact-center automation, omnichannel conversations, intelligent routing, issue resolution, and personalization.
Work with Google Cloud Platform services including Vertex AI, Dialogflow CX, BigQuery, Pub/Sub, Cloud Run, Cloud Functions, and GKE.
Design microservices and event-driven architectures and support CI/CD, monitoring, observability, scalability, and reliability.
Implement AI guardrails, security, safety, evaluation, and monitoring.
Work with vector/search technologies such as Pinecone, FAISS, Weaviate, and Vertex AI Search.
Collaborate with product/business stakeholders to understand requirements, define AI use cases, customer journeys, workflows, and business rules.
Provide technical leadership, architecture guidance, mentoring, and establish reusable AI engineering practices.

Required Skills:

Strong experience with Generative AI, LLMs, Agentic AI, RAG, and prompt engineering.
Strong programming experience in Python, Java, or Node.js.
Hands-on experience with LangChain, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, or similar agent frameworks.
Strong Google Cloud / Vertex AI / Gemini experience.
Experience with Dialogflow CX / Agent Builder.
Experience with APIs, microservices, distributed systems, and event-driven architecture.
Experience with vector databases and semantic search.
Experience with CRM, contact-center, conversational AI, or Customer Experience platforms.
Strong system-design and solution-architecture skills.
Excellent communication skills with the ability to work across engineering, product, and business teams.

Preferred:

Experience with Salesforce or other enterprise CRM platforms.
Experience building production-grade Agentic AI solutions.
Experience with AI governance, responsible AI, evaluation, and security.
Experience in customer-service or contact-center transformation.

Google Cloud Platform/ CCAI GECX/ Cloud Centric Architect

Remote

•

3d ago

Role: Google Cloud Platform / CCAI GECX / Cloud-Centric Architect Location: Remote US Duration: 12 Months Job Description:We are seeking a Cloud-Centric Architect with strong expertise in Google Cloud, Conversational AI, and Agentic AI solutions. The ideal candidate should have hands-on experience delivering projects using CCAI, CES, GECX, ADK, Vertex AI, or A2A, along with a very strong foundation in Python. Candidates do not necessarily need to hold a GECX certification, but they must have di

Easy Apply

Contract, Third Party

Depends on Experience

Senior AI Architect – Agentic AI & Customer Experience

Skills

Summary

Role:Senior AI Architect – Agentic AI & Customer Experience

Job Overview:

Key Responsibilities:

Required Skills:

Preferred:

Dice Job Match Score™

Anchal Khapekar

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Senior AI Architect – Agentic AI & Customer Experience

Job Details

Skills

Summary

Role:Senior AI Architect – Agentic AI & Customer Experience

Job Overview:

Key Responsibilities:

Required Skills:

Preferred:

Dice Job Match Score™

Anchal Khapekar

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