工作描述
Project Role : Data Architect
Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
Must have skills : Google Cloud Platform Architecture
Good to have skills : NA
Minimum 18 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
We are looking for a seasoned Senior Manager – CCAI Architect with deep expertise in designing and delivering enterprise-grade Conversational AI solutions using Google Cloud's Contact Center AI (CCAI) suite. This role demands a visionary leader who can bridge the gap between business objectives and AI-driven customer experience innovations. As a senior leader, you will drive architectural decisions, guide cross-functional teams, and define the roadmap for scalable and intelligent virtual agent platforms.
Roles & Responsibilities:
- Own the end-to-end architecture and solution design for large-scale CCAI implementations across industries.
- Define best practices, reusable frameworks, and architectural patterns using Google Dialogflow CX, Agent Assist, Knowledge Bases, and Gen AI capabilities.
- Act as a strategic advisor to stakeholders on how to modernize and transform customer experience through Conversational AI.
- Lead technical teams and partner with product, operations, and engineering leaders to deliver high-impact AI-first customer service platforms.
- Oversee delivery governance, performance optimization, and scalability of deployed CCAI solutions.
- Evaluate and integrate cutting-edge Gen AI models (LLMs, PaLM, Gemini) to enhance virtual agent performance and personalization.
- Enable and mentor architects, developers, and consultants on Google Cloud AI/ML tools and CCAI strategies.
- 10+ years of experience in enterprise solution architecture, with 4+ years in Google Cloud AI/ML and Conversational AI platforms.
- Deep expertise in Dialogflow CX, CCAI Insights, Agent Assist, Gen AI APIs, and GCP architecture.
Strong leadership in managing large transformation programs involving AI chatbots, voice bots, and omnichannel virtual agents.
- Proven ability to engage with senior stakeholders, define AI strategies, and align technical delivery with business goals.
- Experience integrating AI solutions with CRMs, contact center platforms (e.g., Genesys, Five9), and backend systems.
- Certifications in Google Cloud (e.g., Professional Cloud Architect, Cloud AI Engineer) are a strong plus.
- Exceptional communication, thought leadership, and stakeholder management skills.
Professional & Technical Skills:
- Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.
- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification,
- Strong understanding of AI/ML algorithms, NLP and techniques.
- Experience with chatbot, generative AI models, prompt Engineering.
V- Experience with cloud or on-prem application pipeline with production-ready quality.
Additional Information:
- The candidate should have a minimum of 18+ years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.
- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.
- A 15-year full time education is required
Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
Must have skills : Google Cloud Platform Architecture
Good to have skills : NA
Minimum 18 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
We are looking for a seasoned Senior Manager – CCAI Architect with deep expertise in designing and delivering enterprise-grade Conversational AI solutions using Google Cloud's Contact Center AI (CCAI) suite. This role demands a visionary leader who can bridge the gap between business objectives and AI-driven customer experience innovations. As a senior leader, you will drive architectural decisions, guide cross-functional teams, and define the roadmap for scalable and intelligent virtual agent platforms.
Roles & Responsibilities:
- Own the end-to-end architecture and solution design for large-scale CCAI implementations across industries.
- Define best practices, reusable frameworks, and architectural patterns using Google Dialogflow CX, Agent Assist, Knowledge Bases, and Gen AI capabilities.
- Act as a strategic advisor to stakeholders on how to modernize and transform customer experience through Conversational AI.
- Lead technical teams and partner with product, operations, and engineering leaders to deliver high-impact AI-first customer service platforms.
- Oversee delivery governance, performance optimization, and scalability of deployed CCAI solutions.
- Evaluate and integrate cutting-edge Gen AI models (LLMs, PaLM, Gemini) to enhance virtual agent performance and personalization.
- Enable and mentor architects, developers, and consultants on Google Cloud AI/ML tools and CCAI strategies.
- 10+ years of experience in enterprise solution architecture, with 4+ years in Google Cloud AI/ML and Conversational AI platforms.
- Deep expertise in Dialogflow CX, CCAI Insights, Agent Assist, Gen AI APIs, and GCP architecture.
Strong leadership in managing large transformation programs involving AI chatbots, voice bots, and omnichannel virtual agents.
- Proven ability to engage with senior stakeholders, define AI strategies, and align technical delivery with business goals.
- Experience integrating AI solutions with CRMs, contact center platforms (e.g., Genesys, Five9), and backend systems.
- Certifications in Google Cloud (e.g., Professional Cloud Architect, Cloud AI Engineer) are a strong plus.
- Exceptional communication, thought leadership, and stakeholder management skills.
Professional & Technical Skills:
- Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.
- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification,
- Strong understanding of AI/ML algorithms, NLP and techniques.
- Experience with chatbot, generative AI models, prompt Engineering.
V- Experience with cloud or on-prem application pipeline with production-ready quality.
Additional Information:
- The candidate should have a minimum of 18+ years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.
- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.
- A 15-year full time education is required
职位要求
15 years full time education
工作地点
Bengaluru, Chennai
