Azure Architect

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. 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 \"RiseTM.\" 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. 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. AI Azure Architect: Our Client Overview 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. Collaborate with cross-functional teams (technologists, data specialists, and business stakeholders) to translate business requirements into AI-driven solutions. Provide technical leadership in resolving complex architecture challenges and drive product innovation by embedding automation and intelligence into workflows.

Your Profile
(Requirements) Strong experience in AI/ML architecture, enterprise-grade solution design, and distributed scalable architectures. Hands-on Cloud experience with Azure (preferred), AWS, or GCP. Familiarity with vector databases, embeddings, and semantic search, alongside an understanding of structured/unstructured data processing. S. in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. High-Performance Mindset: Familiarity with cloud-native foundations or AI coding assistants. Languages Advanced Oral English: For seamless collaboration with global teams. This position is available as: Remote If you meet these qualifications and are pursuing new challenges, Sequoia Career's Page : Strong experience in AI/ML architecture and solution design Proven experience working with LLMs, generative AI, and AI platforms Experience designing and integrating APIs and microservices Cloud

experience:
Azure (preferred), AWS, or GCP Familiarity with vector databases, embeddings, and semantic search Understanding of Tech Risk, compliance, or SOC-related processes (preferred) Experience in distributed systems and scalable architectures M.
S. in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field