Senior AI Architect
GetecsaMonterrey, Nuevo León, MexicoHace 4 días
Tipo de contrato
- Teletrabajo
Descripción del trabajoExperience 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. 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 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. Superior benefits. Transparency, clarity, and honesty throughout the process. 100% Remote Work Kindness and empathy. Mid-Senior level Full-time Design, Art / Creative, and Information Technology IT Services and IT Consulting
Join to apply for the Senior AI Architect role at 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
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).
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Senior Architect • Monterrey, Nuevo León, Mexico
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