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Senior ai architect

Monterrey, N.L.
Getecsa
De USD 120,000 a USD 180,000 al año
Publicada el 18 octubre
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

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