Domain AI Azure Architect

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 1200 global customersincluding several Fortune 500 companiesto Rise. With a massive network of 163000 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.
• 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.
• Proven hands-on experience working with Large Language Models (LLMs) generative AI and AI platforms (e.g. GPT-like models prompt engineering fine-tuning).
• Experience designing and integrating APIs and microservices for scalable AI ecosystems.
• 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.
• Knowledge of AI ethics bias mitigation model explainability and Responsible AI governance.
• M.S. or B.S. in Computer Science Artificial Intelligence Data Science Engineering or a related field.
• High-Performance Mindset: Strong analytical and problem-solving skills an innovative mindset with a passion for emerging technologies and the ability to influence stakeholders.
• Technologist DNA: An ownership mindset with a high attention to detail excellent communication skills and the ability to drive initiatives independently.

Desired

• Understanding of Tech Risk compliance or SOC-related processes.
• Familiarity with cloud-native foundations or AI coding assistants.

Languages

• Advanced Oral English: For seamless collaboration with global teams.

Special Notes

• N/A

Work Arrangement

We value flexibility to support your lifestyle. This position is available as:

• Remote

If you meet these qualifications and are pursuing new challenges start your application on our website to join an award-winning employer. Explore all our job openings Sequoia Careers Page:
AI Architecture LLM Azure API Vector Databases

Requirements:

• 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. or B.S. in Computer Science Artificial Intelligence Data Science Engineering or related field