Generative AI Architect

Why Join HYCU? HYCU is the fastest-growing leader in the multi-cloud and SaaS data protection as a service industry. By bringing true SaaS-based data backup and recovery to on-premises, cloud-native, and SaaS IT environments, the company provides unrivaled data protection, migration, disaster recovery, and ransomware protection to thousands of companies worldwide. The company's award-winning R-Cloud platform eliminates complexity, risk, and the high cost of legacy-based solutions, providing data protection simplicity to make it the #1 SaaS Data Protection platform. With an industry leading NPS score of 91, HYCU has raised $140M in VC funding to date and is based in Boston, Mass. Learn more at www.hycu.com. Overview We are seeking an A I / Generative AI Architect that will be responsible for defining the end-to-end technical architecture for Generative AI–powered data insight platforms. This role ensures that AI solutions are scalable, secure, cost-efficient, and aligned with business and regulatory requirements. We are building next-generation Generative AI products that deliver actionable data insights at enterprise scale. Our platform combines Large Language Models (LLMs), advanced data engineering, knowledge graphs, and AI agents to help organizations analyze, understand, and act on their data faster and more intelligently. We focus on secure, scalable, explainable, and compliant AI systems designed for real-world enterprise use. Location : Bangalore , India (Hybrid; 3 days onsite/2 days remote) What You’ll Do: Define and own the overall architecture for Generative AI platforms, including LLMs, data layers, knowledge systems, and agent orchestration frameworks Design scalable, cloud-native architectures that support high-performance AI workloads Establish architectural patterns for retrieval-augmented generation (RAG), reasoning, evaluation, and observability Ensure non-functional requirements such as reliability, security, compliance, latency, and cost efficiency are met Provide technical leadership and guidance to engineering teams across AI, data, and platform domains Design and maintain reference architectures for AI-driven data insight products Collaborate with product managers to align architecture with business objectives Partner with security and compliance teams to embed governance-by-design Review designs and implementations to ensure architectural consistency and quality Identify technical risks early and propose scalable, sustainable solutions What We’re Looking For: Master’s degree or PhD in Computer Science, Software Engineering, or a related field Minimum of 8–12 years of ex p erience in software engineering, data platforms & AI systems Prior experience designing and delivering enterprise-scale AI or data products Hands-on experience with cloud platforms and modern AI technologies is strongly preferred Strong experience designing distributed, cloud-native systems Deep understanding of Generative AI, Large Language Models, embeddings, and agent-based architectures Experience with data platforms, APIs, and AI integration patterns Knowledge of AI evaluation, monitoring, and observability frameworks Familiarity with security, privacy, and governance considerations for AI systems Technical Skills Required: Distributed Systems Design Search architecture (OpenSearch / Elasticsearch) API Design (REST / FastAPI) Cloud-native architecture (AWS / GCP / Azure) Kubernetes fundamentals Data modeling at scale Multi-tenant SaaS design preferred RAG architecture understanding preferred Vector search familiarity preferred Event-driven systems (Kafka / PubSub) preferred Security-aware design preferred Attributes of a Successful HYCUer in this role: Self-starter and strategic thinker who thinks outside the box Takes responsibility and ownership for driving successful outcomes. You’re results-driven with a winning attitude Team player! You have excellent people and management skills to interact with staff, colleagues, cross-funct