Getecsawe are a leading mexican company in human capital management and technology services, founded in * in monterrey, reciente 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 bankingsoft 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...
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