AI Team Lead

AI Team Lead (Remote)
Our client is looking for an experienced AI Team Lead to spearhead the design and implementation of next-generation AI services within a SaaS environment. This professional will guide a multidisciplinary team to architect and deploy intelligent, data-driven solutions that enhance user experience and deliver real business impact.

Your Mission
AI Strategy & Leadership
Define and execute the AI technology roadmap, focusing on embedded intelligence and scalable solutions.
Lead the design of AI agent frameworks, establishing standards, governance, and integration patterns.
Stay ahead of emerging AI trends, technologies, and regulations to guide responsible innovation.
Hands-On Technical Leadership
Architect and prototype solutions using LLMs, embeddings, vector databases, and retrieval pipelines .
Lead by example in building scalable, modular AI systems integrated with cloud and microservices environments.
Establish DataOps and MLOps best practices to ensure secure, efficient model deployment.
Cross-Functional Collaboration
Partner with Product, Engineering, and Architecture teams to identify opportunities for AI-driven automation and experience optimization.
Mentor AI engineers, data scientists, and developers on best practices for prompt engineering, fine-tuning, and model evaluation .
Governance & Quality
Define and monitor AI performance metrics, testing frameworks, and validation processes.
Establish internal standards for model reliability, interpretability, and fairness across enterprise use cases.

Requirements
8+ years in software development, including 5+ years in AI/ML (LLM/Agent experience preferred).
3+ years in a leadership role, managing AI or data-focused teams.
Proven experience deploying LLM-based or AI production systems .
Strong expertise in Python and frameworks such as PyTorch, TensorFlow, or LangChain .
Hands-on experience with LLMs, embeddings, RAG pipelines , and vector databases (Qdrant, Pinecone, FAISS).
Solid knowledge of data engineering, MLOps, CI/CD , and cloud environments (AWS preferred) .
Experience with REST/GraphQL APIs and microservice architectures .
English fluency (spoken and written).

Nice to Have
Experience with AI agent frameworks (LangGraph, CrewAI, AutoGen, ElizaOS).
Familiarity with data governance, privacy, and AI safety standards.
Prior experience integrating AI features into SaaS or industrial platforms .
Advanced degree in Computer Science, AI/ML, or Data Science .
Portuguese proficiency (preferred but not required).