Azure AI Architect: GenAI, Data Lakes & Automation

NextGenEnergyJobs; Bogotá; Presencial; COP 89.280.000 - 178.560.000; Jornada completa

Descripción de la vacante

NextGenEnergyJobs is seeking an experienced AI Architect to design and deploy scalable AI solutions on Azure for a premier accounting technology advisory firm. The role emphasizes ML model development, deployment pipelines, and integration with Power Platform.

The candidate should have strong experience with retrieval-augmented generation, vector databases, LangChain, and Semantic Kernel. Finance/accounting tech exposure is a plus.

Formación

• Proven experience designing and deploying AI architectures on Azure and cloud platforms.
• Strong knowledge of ML frameworks and model deployment pipelines.
• Experience integrating AI models with Microsoft Power Platform (Power BI, Power Apps, Power Automate).
• Familiarity with DevOps practices including CI/CD for ML workloads and containerization (Docker, Kubernetes).
• Knowledge of data architectures, SQL/NoSQL databases, and data lakes (Azure Synapse, etc.).
• Experience with vector databases and retrieval-augmented generation approaches.
• Knowledge of prompt engineering and fine-tuning large models.
• Bachelor’s degree in Computer Science, MIS, or a related field.

Conocimientos

AI architecture

Azure Cloud

ML frameworks

Power Platform

DevOps CI/CD

Containerization

Databases & Data Lakes

Vector databases

Retrieval-augmented generation

Prompt engineering

Large language models

Automation tools

UiPath

Blue Prism

LangChain

Semantic Kernel

Educación

Bachelor’s degree in Computer Science, MIS, or similar

Herramientas

UiPath

Blue Prism

LangChain

Semantic Kernel

Azure ML

Power BI

Docker

Kubernetes

Descripción del empleo

NextGenEnergyJobs is seeking an experienced AI Architect to design and deploy scalable AI solutions on Azure for a premier accounting technology advisory firm. The role emphasizes ML model development, deployment pipelines, and integration with Power Platform.

The candidate should have strong experience with retrieval-augmented generation, vector databases, LangChain, and Semantic Kernel. Finance/accounting tech exposure is a plus.