Tech Lead AI Conversational Agents
Core
Leading the technical implementation and evolution of production AI conversational agents (chat/voice) for Santander's Data & AI area, focusing on architecture, security, and quality.
Role type
Tech Lead AI Conversational Agents
Builds
Production chatbots and voicebots integrated with internal systems and enterprise knowledge bases.
Domain
Banking / Conversational AI / NLP / LLMs
Deliverable
production ML models | product features
Required skills
Python, NLP (intent classification, entity extraction, slot filling), LLMs (prompting, RAG, embeddings, guardrails), software engineering, agile leadership, technical debt management, conversational platform integration, data preparation and labeling, technical evaluation (precision/recall, human eval), security and compliance controls.
Preferred skills
JavaScript/TypeScript, Git, SQL, MLOps/LLMOps practices, conversational platforms (Dialogflow, Azure Bot Framework, Amazon Lex, etc.), cloud fundamentals, responsible AI.
Technologies
Python, Git, MCPs, REST APIs, webhooks, Postman, Jira, Confluence, CI/CD tools, conversational platforms (Dialogflow, Azure Bot Framework, Amazon Lex, IBM Watson Assistant, Genesys, LivePerson, Kore.ai, Cognigy).
Responsibilities
Lead technical implementation of conversational agents following architecture and security standards; guide engineers via design patterns and best practices; manage technical debt; collaborate with architects on component evolution; define and supervise engineering standards and reference architectures; industrialize AI agent usage for scalability and observability; configure and optimize intents, entities, slots, and handoffs; prepare and maintain conversational datasets; execute technical evaluations including LLM safety checks; integrate agents with internal systems via APIs; implement security and compliance controls.
Seniority
Senior, hands-on IC with leadership responsibilities