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Senior AI Architect

Indeed

Compañía

Tipo de empleoTiempo completo
Modalidad de trabajoRemoto
Nivel de experienciaMás de 10 años
Nivel educativoSin requisito de título

Descripción

###### **Monterrey** ##### ***\-******Gestión de Tecnología Especializada******\-*** **GETECSA** We are a leading Mexican company in human capital management and technology services, founded in 2005 in Monterrey, Nuevo León. We have a strong presence in both national and international markets, providing added value and solutions in IT consulting, talent acquisition, testing factory, tailor\-made projects, and development centers. At Getecsa, our main goal is to deliver services with a strong sense of quality so that our business partners can achieve their objectives quickly and effectively, ensuring their complete satisfaction with our support. **Position Opening:** We are currently seeking an **Senior AI Architect** to work **remotely** in Mexico with one of our main clients. **Technical Skills:*** Minimum of 12\+ years of programming experience, with at least 3\+ years focused on creating and managing scalable AI solutions and 5\+ years architecting cloud\-native applications. * Generative AI Expertise: Deep, hands\-on experience with generative AI frameworks like LlamaIndex, Langchain and a variety of LLMs from OpenAI, Google, or open\-source alternatives (e.g., Llama, Claude, Hugging Face). * AI/ML Foundations: Strong proficiency in Python and SQL. Deep understanding of neural network architectures (Transformers, GANs) and experience using AI/ML frameworks like TensorFlow, PyTorch, or Keras for designing, training, and validating models. * Scalable Data Systems: Proven experience architecting solutions with multiple vector databases (e.g., Pinecone, Qdrant, Milvus, PGVector) and proficiency with diverse data storage systems, including RDBMS and NoSQL. * Cloud \& MLOps: Expertise in utilizing a major cloud platform (Azure, AWS, or GCP) for developing cloud\-native solutions. Hands\-on experience with containerization (Docker, Kubernetes) and CI/CD solutions in the context of MLOps/LLMOps, including automation with Infrastructure\-as\-Code (Terraform, Bicep). * Understanding of financial regulations impacting AI (FRTB, SR11\-7, Basel III, GDPR) **Good to have skill:*** Experience in deploying ML models using both native infrastructure (e.g., Azure DevOps) and third\-party MLOps platforms. * Experience working in Banking \& Financial Services domain (retail, lending, trading, compliance, etc) * Hands\-on experience building and deploying autonomous AI agents with any of the agentic AI frameworks * Knowledge of designing and explaining complex data pipelines, ML pipelines, and ML training/serving methodologies. * Awareness of AI standards and experience with assessing and mitigating technology risks. **Daily Activities:*** Architecting Enterprise AI Platforms: Proven experience architecting and delivering end\-to\-end, scalable Generative AI platforms within complex, multi\-model and multi\-vector database environments. * Solving Scalability Challenges: Demonstrated experience engineering high\-throughput data ingestion and embedding pipelines, solving critical challenges in scalability and lifecycle management to avoid costly embedding re\-rendering. * Building Reusable Frameworks: Experience building and standardizing reusable AI frameworks (leveraging tools like LlamaIndex/LangChain) to accelerate the development of advanced RAG, semantic search, and complex agentic systems. * From Concept to Production: A history of translating cutting\-edge AI research and ambiguous business requirements into tangible applications—from rapid prototyping to deploying production\-grade, scalable APIs. * Operationalizing AI at Scale: Experience leading the operationalization of AI, including the deployment, containerization (Docker/Kubernetes), and monitoring of LLM\-based agents in production cloud environments. * Implementing Production\-Grade Guardrails: Expertise in implementing and enforcing robust AI security, including developing production\-grade guardrails to ensure model safety, ethical compliance, and reliability. * Shape AI use cases across lines of business: consumer banking, corporate banking, payments \& cards, investment banking **Soft Skills:*** Systems thinking and solution\-oriented mindset. * Effective communication with both technical and non\-technical teams. * Strong documentation and organizational skills. * Ability to work autonomously and proactively. * Problem\-solving under high\-pressure environments. **We Offer:*** Superior benefits. * Transparency, clarity, and honesty throughout the process. * 100% Remote Work * Kindness and empathy. The opportunity to grow is in your hands… ***Join GETECSA!***

Publicado por

Juan García

Indeed · HR

Ubicación

Juan García

Indeed · HR

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