Core Architect

📋 Description

• • As a Core Architect at one of Weekday 1's esteemed clients, you will be at the forefront of defining and driving the technical architecture, engineering standards, and long-term technology strategy for cutting-edge AI-powered platforms.
• • This pivotal role demands a visionary leader with a profound understanding of distributed systems, AI infrastructure, and cloud-native platforms, coupled with exceptional leadership capabilities to guide multiple engineering teams.
• • You will be instrumental in shaping the future of AI development, overseeing teams responsible for critical components such as AI infrastructure, model orchestration, sophisticated vector knowledge systems, and essential developer tooling.
• • Your primary responsibility will be to architect the overall technical vision, ensuring seamless integration and optimal performance across the entire AI platform lifecycle, from initial data ingestion and vector retrieval to complex model orchestration, efficient inference, and robust developer support.
• • You will establish and champion rigorous engineering standards, design patterns, and best practices, fostering a culture of excellence and consistency in building highly scalable and production-ready Generative AI (GenAI) solutions.
• • Leading crucial architecture discussions and design reviews across diverse engineering teams will be a key aspect of your role, ensuring alignment and fostering collaborative innovation.
• • A significant focus will be placed on architecting advanced agentic workflows, leveraging modern frameworks like MCP, LangGraph, CrewAI, and other state-of-the-art orchestration systems to build intelligent, autonomous AI agents.
• • You will design and meticulously optimize retrieval systems, vector knowledge architectures, and multi-tool AI pipelines, ensuring efficient data access and processing for complex AI tasks.
• • A core part of your contribution will involve building scalable, resilient frameworks for integrating cutting-edge embeddings, advanced vector databases, and sophisticated Retrieval-Augmented Generation (RAG) systems, pushing the boundaries of AI capabilities.
• • You will lead and mentor a talented group of engineers spanning machine learning, AI application development, and full-stack engineering disciplines, nurturing their growth and technical expertise.
• • Providing expert technical guidance on system scalability, performance optimization, and critical architecture decisions will be essential to ensure the robustness and efficiency of our AI platforms.
• • You will define and implement best practices for MLOps, ensuring seamless deployment, monitoring, and management of AI models, alongside establishing robust observability, comprehensive monitoring strategies, and effective cost optimization measures across all AI platforms.
• • Architecting secure, highly available, and scalable cloud-native deployments across multiple global regions, utilizing modern infrastructure frameworks like Kubernetes and containerization technologies, will be a critical undertaking.
• • You will be responsible for ensuring that all systems consistently meet stringent reliability, scalability, and operational excellence standards, guaranteeing high uptime and performance.
• • Close collaboration with product management, data science, and research teams will be vital to effectively translate experimental GenAI concepts and research breakthroughs into tangible, production-ready solutions.
• • You will play a key role in aligning architectural decisions with overarching product roadmaps and strategic business goals, ensuring that technology investments drive maximum business value.
• • This role offers a unique opportunity to shape the technical direction of a rapidly evolving AI landscape, working with a talented team on challenging and impactful projects.
• • You will be empowered to make significant architectural decisions that will influence the trajectory of our AI initiatives for years to come.
• • The ideal candidate is a strategic thinker with a proven track record of delivering complex, large-scale systems in a fast-paced environment.
• • You will contribute to a culture of continuous learning and innovation, staying abreast of the latest advancements in AI, distributed systems, and cloud technologies.
• • Your expertise will be crucial in building the foundational infrastructure that powers next-generation AI applications and services.
• • This is a full-time, remote position based in India, requiring a minimum of 10 years of relevant experience.