Conversational AI Architect - Python/SQL

The focus is on enhancing contact centre operations with advanced AI and cloud technologies. You will design and implement smart solutions to reduce wait times, improve agent productivity, and personalize customer interactions in a fast-paced, tech-driven : - AI Solution Design : Create scalable conversational AI solutions using Google CCAI, Vertex AI, and custom LLM pipelines. Develop virtual agents (text/voice), agent assist tools, and AI-driven analytics. Design and manage Generative AI applications for summarization, Q&A, and document intelligence. - Conversational AI Development : Build and optimize conversational systems with Dialog flow CX for omnichannel integration and multilingual support. Oversee fallback logic, entity modelling, and call flow transitions. - Data Engineering & Pipeline Management : Design and manage data pipelines for ingestion, transformation, and real-time inference using Big Query, Dataflow, Pub/Sub, and Cloud Storage. - MLOps & Continuous Deployment : Implement scalable ML workflows with Vertex Pipelines, TensorFlow Extended, or Kubeflow. Establish CI/CD workflows and ensure model versioning, reproducibility, and rollback capabilities. - Voice AI Integration : Lead telephony integrations (SIP, PSTN) and optimize IVR workflows for low-latency voice bots. Ensure seamless TTS/STT integration and effective call handling logic. Required Skills : - Expertise in AI tools : Google CCAI, Vertex AI, Lang Chain, Pinecone. - Proficiency in programming languages : Python, SQL, Node.js. - Cloud experience : GCP (Big Query, Cloud Functions, Dialog flow CX, IAM). - Strong knowledge of MLOps tools : TensorFlow Extended, Kubeflow. - Experience in data engineering and pipeline design. - Familiarity with telephony systems (SIP, PSTN) and IVR workflows. - Hands-on experience with visualization tools : Looker, Tableau. - Understanding of ethical AI practices and compliance standards (HIPAA, GDPR). (ref:hirist.tech)

Location: in, IN

Posted Date: 5/26/2025