Senior Azure Solutions Architect

Senior Azure Solutions ArchitectLocation : Brazil / Argentina (Remote)Long term contractJob SummaryWe are seeking a visionary Automation Senior Cloud Solution Architect to lead the technical design and implementation of this transformative capability.

This role is pivotal in architecting a scalable, AI-driven solution that seamlessly integrates advanced data processing, intuitive web interfaces, and intelligent automation.This position demands a strategic leader who thrives in complexity and is deeply committed to cultivating strong stakeholder relationships.

You will play a key role in fostering a culture of innovation and collaboration, guiding cross-functional teams to deliver solutions that drive pricing transparency, operational efficiency, and market competitiveness.The ideal candidate will bring a unique blend of technical depth and strategic foresight, with a proven track record of leveraging cutting-edge technologies to deliver end-to-end automation at scale.

The role with interface with Enterprise Architecture, Business leaders, Senior Leaders and Cyber / Privacy / Legal teams.Key Responsibilities :

• Champion Software Excellence & Talent Development.

Promote strong SDLC practices including clean architecture, automated testing, and scalable design.

Mentor junior developers through code reviews, technical guidance, and collaborative learning to foster a high-performing engineering culture.

Build and maintain front-end (React, TypeScript, Next.js) and back-end (Python, FastAPI, Node.js) layers that support GenAI workflows and agentic interactions.

Design robust REST and GraphQL APIs for real-time agent communication, tool execution, and memory handling.

Integrate frameworks such as LangChain, LangGraph, CrewAI, and vector databases (Pinecone, FAISS, Chroma, Weaviate).

Architect and optimize ETL pipelines for real-time and batch data processing.

Ensure seamless data flow between GenAI services, databases, and user interfaces.

Deploy and scale services using Docker, Kubernetes, and CI / CD pipelines.

Apply MLOps best practices for monitoring, versioning, and performance tuning of AI components.

Work closely with AI researchers, product managers, and delivery teams to align technical execution with strategic goals.

Participate in multi-agent orchestration experiments and rapid prototyping cycles.Key Qualifications and Experiences : Technical Expertise :

Familiarity with cloud-native services (Azure), containerization (e.g., Docker, Kubernetes), and serverless architectures is highly valued.

Proficient in CI / CD and DevSecOps practices.

Understanding architecture design principles and patterns.

Experience with SQL Server, Web Services (SOAP / REST) and API development.

NET Development Skills : Extensive hands-on experience in building scalable, high-performance applications using .

NET technologies, with strong capabilities in C#, .

NET Core, ASP.NET, and Entity Framework.

Knowledge of web technologies and frameworks, such as Blazor or ASP.NET MVC, is also crucial.

NET applications with both SAP and Salesforce platforms, employing APIs and middleware solutions like SAP Process Orchestration or API to facilitate robust data exchange and streamline workflows across these systems.

The ability to collaborate closely with product owners, engineers, and scrum master's to foster a productive and agile environment.

Ability to succinctly highlight key metrics, progress, and insights, ensuring transparency and alignment at all levels of the organization.