Domain AI Azure Architect - Sequoia Connect

Description

At Sequoia Connect , we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.

We are currently partnering with a global IT powerhouse that represents the connected world through innovative, customer-centric experiences. As a USD 6 billion organization and one of the top 7 IT service providers globally, our client empowers over 1,200 global customers—including several Fortune 500 companies—to "Rise™." With a massive network of 163,000+ professionals across 90 countries, they are at the absolute forefront of digital transformation, leveraging next-generation technologies such as 5G, AI, Blockchain, and Quantum Computing.

This is your chance to thrive in a workplace recognized as one of the most sustainable corporations in the world. You will join an environment that values innovation and societal impact, working on end-to-end digital transformation projects for global leaders. If you are a driven professional looking for global career opportunities and exposure to high-impact projects within an international network of expertise, this is where you belong.

We are currently searching for a AI Azure Architect:

Our Client Overview Fueled by strategic investment in technology and innovation, Our Client is focused on driving growth opportunities and solving complex business challenges through the development of robust platforms and next-generation, AI-powered products.

The Challenge (Responsibilities)

• Design and implement end-to-end AI architecture for a new product within Technology Risk, focused on SOC reporting and intelligent automation.
• Lead the design and development of AI/ML architecture, including LLM-based solutions, model orchestration, and intelligent workflows.
• Develop scalable, API-first architectures to integrate LLMs and expose AI capabilities across enterprise platforms and systems.
• Define and govern AI models, pipelines, and infrastructure across cloud environments (Azure, AWS, GCP), ensuring scalability, security, and compliance with enterprise and regulatory standards.
• Establish frameworks and best practices for prompt engineering, model fine-tuning, evaluation, monitoring, AI governance, explainability, and responsible AI.
• Lead the integration of structured and unstructured data into AI pipelines.