Lead AI Engineer
Core
Design, build, and scale AI-driven platforms for case management, customer service optimization, and analytics-driven insights.
Role type
Lead AI Engineer (Case Management & Analytics)
Builds
Scalable, cloud-native AI solutions powered by Machine Learning and Generative AI for enterprise applications.
Domain
Enterprise AI, Contact Center Operations, Case Management
Deliverable
production ML models
Required skills
Python, NLP, Machine Learning, Generative AI/LLMs, Vector databases (FAISS, Milvus, Weaviate), RAG pipelines, Agentic AI systems, Multi-agent orchestration, Task planning, Tool integration, Reasoning workflows, MLOps, CI/CD, Docker, Kubernetes
Preferred skills
Contact center platforms (Cisco, Genesys, NICE, Avaya), AI copilots, Chatbots, Agent-assist solutions, Knowledge systems, Enterprise search, Recommendation engines, LLM platforms (OpenAI, Google Gemini, Claude), Cloud and AI certifications
Technologies
Azure AI, AWS AI, Google Vertex AI / Gemini, LangChain, LangGraph, AutoGen, FAISS, Milvus, Weaviate, Docker, Kubernetes
Responsibilities
Develop AI models for case classification, routing, prioritization, and SLA prediction; Build automation for email-to-case, summaries, call notes, and CRM/workflow updates; Deliver AI-driven insights including sentiment analysis, anomaly detection, and forecasting; Design and implement LLM/RAG-based knowledge retrieval and AI copilots; Build and integrate AI services with CRMs, contact center platforms, and enterprise systems; Architect data pipelines, embeddings, and vector-based search solutions; Deploy scalable AI solutions using cloud AI services; Establish MLOps, CI/CD, and containerized deployment practices; Lead AI architecture, governance, and cross-functional collaboration.
Seniority
Senior, hands-on IC with leadership responsibilities