Architect- Gccai/ Dialogflow

Mandatory Skills:
Architect/Lead

GCCAI/ Dialogflow

Chatboat
- Enterprise-Scale AI Solution Design: Designs full-stack conversational AI solutions using Google CCAI, Vertex AI, and custom LLM pipelines. Leads architecture for virtual agents (text/voice), agent assist, and AI-driven analytics Generative AI (Vertex AI, PaLM, GPT-4)
- Data Engineering & Pipeline Strategy: Designs ingestion and transformation flows using BigQuery, Dataflow, Pub/Sub, Cloud Storage. Aligns data pipelines to support feature engineering and real-time inference
- MLOps & Continuous Deployment: Implements scalable training/inference workflows using Vertex Pipelines, TensorFlow Extended, or Kubeflow, Versioning, CI/CD, reproducibility, and rollback capabilities built into the ML lifecycle
- Knowledge Base & Embedding Systems: Integrates unstructured data pipelines using LangChain, LlamaIndex, Pinecone, Vector Search
- Google Agent Assist & Speech Systems: Configures Agent Assist triggers, STT tuning (noise handling, custom lexicons), and Smart Reply modules. Architects seamless escalation logic and real-time transcription pipelines
- Voice AI Design: Leads telephony integration (SIP, PSTN), IVR workflows, and low-latency voice bot optimization. Balances TTS/STT integration with call handling logic and human-agent transfer workflows
- Testing & Validation Strategy: Defines testing standards for LLM responses, STT accuracy, webhook logic, and CI automation. Leads model evaluation, prompt regression testing, and safety testing across pipelines
- AI Governance & Compliance: Implements data privacy standards (e.g., HIPAA, GDPR), PII handling, and audit logging. Establishes ethical AI use guidelines, fallback safety protocols, and model monitoring
- Executive-Level Reporting: Defines KPIs for AI success: containment rate, CSAT lift, time-to-resolution, and NPS. Oversees dashboards (Looker, Tableau) and insight generation for product, ops, and leadership
- Cross-Functional Collaboration: Leads teams of developers, analysts, QA, and business leads through Agile execution. Conducts architectural reviews, sprint planning, and stakeholder demos

Tools & Platforms:

- Languages: Python, SQL, Node.js
- Cloud: GCP (Vertex AI, BigQuery, Dialogflow CX, Cloud Functions, Cloud Run, IAM)
- AI Tools: LangChain, Pinecone, LlamaIndex, OpenAI APIs
- Testing: Postman, Selenium, PyTest, JMeter, CI/CD (Cloud Build/GitHub Actions)
- Visualization: Looker, Data Studio, Tableau
- Project Management: Jira, Confluence, Figma (for conversational UX review)

**Job Type**: Contractual / Temporary
Contract length: 3-6 months

Pay: ₹130,000.00 - ₹140,000.00 per month

Schedule:

- Day shift
- Monday to Friday

Application Question(s):

- How much experience do you have with Chatbot and Voicebot
- Do you have experiecne with Cloud: GCP (Vertex AI, BigQuery, Dialogflow CX, Cloud Functions, Cloud Run, IAM)

**Experience**:

- GCCAI/Dialogflow: 9 years (required)
- Chatbot and Voicebot: 5 years (required)

Work Location: Remote