Job Description

Department
BU-H-Shakti Cloud
Job posted on
Oct 16, 2025
Employment type
FTE

About the Role

As the Solution Architect, you will be the technical backbone and primary design authority across both our next-gen AI product lines:
An AI-powered No-Code Platform for rapid web/app creation, and A robust Agentic AI/MLOps Orchestration Platform for enterprise-grade model management and automation.
You will own the end-to-end system architecture--from conceptualization and high-level design to hands-on technical guidance and code reviews--ensuring that both platforms are scalable, modular, secure, and future-proof.

Key Responsibilities

1. Architecture & Design Leadership


o Lead the overall solution architecture for both platforms--defining component boundaries, data flows, API contracts, and cloud/service integrations. o Architect a microservices-based, modular, and API-first backend for both the no-code builder and MLOps platform, ensuring reusable services and seamless integration.


Design for multi-tenancy, role-based access control (RBAC), localization (i18n/l10n), and strong data privacyfrom the outset. Define best practices for real-time collaboration (e.g., CRDT/OT engines) and ensure robust support for version control, rollback, and undo/redo across both platforms. Lead architectural decisions for LLM/AI agent integration, including scalable inference pipelines, caching, prompt management, and agent orchestration. Select and define technical standards for cloud infrastructure, containerization (K8s/Docker), model training/deployment (MLflow, Kubeflow, Airflow, etc.), CI/CD, and monitoring.


2. Technical Oversight & Execution


Provide technical direction, code reviews, and mentorship to backend, frontend, DevOps, MLOps, AI/ML, and NLP teams--ensuring adherence to architecture and coding standards. Oversee the implementation of AI/ML/NLP pipelines, ensuring modularity and smooth integration with product features (e.g., drag-and-drop builder, agent workflows). Drive decisions around data management: model/data versioning, lineage, cataloging, storage, and secure data flows. Ensure API gateway design, external integration readiness, and internal service discoverability. Own the architectural roadmap for third-party integrations (e.g., Figma, Zapier, cloud vendors, payment gateways).


3. Performance, Scalability & Security


Define and enforce performance optimization strategies: API efficiency, database sharding/replication, horizontal scaling, caching layers. Architect for high availability, disaster recovery, automated backups, and graceful failover. Ensure SOC2/GDPR/ISO compliance readiness, robust audit logging, secrets management, and secure tokenization. Oversee secure implementation of user management, authentication (OAuth2/SAML/MFA), and authorization.


4. Cross-Platform Integration & Product Synergy


Design a shared foundation so that both platforms can leverage common services, data models, user management, and notification systems. Architect for future extensibility: plugins, third-party module integration, and easy onboarding of new AI/ML workflows or UI blocks. Partner closely with Product Management, UX/UI, and PhDs (AI/ML, NLP, HCI) to align technology with user and business needs.


5. Delivery, Documentation & Continuous Improvement


Lead architecture sessions, whiteboarding, and design reviews with cross-functional teams. Deliver comprehensive architecture documents, sequence diagrams, and decision logs. Define technical KPIs: system uptime, API latency, model inference time, error rates. Proactively identify architectural risks and bottlenecks--recommending refactors or redesigns as needed. Champion a culture of innovation, security, quality, and continuous improvement.

Required Experience & Skills

Minimum 10 years in software engineering; 4+ years architecting complex cloud native, AI/ML-powered products. Deep experience with both no-code/low-code builder platforms and/or MLOps/AI agentic systems. Proven track record of designing microservices/SOA, multi-tenant architectures, and real-time collaborative systems. Hands-on expertise with cloud infra (AWS/GCP/Azure), Kubernetes, Docker, CI/CD, and ML pipelines(MLFlow, Kubeflow, Airflow). Strong AI/ML and LLM system design understanding, including model lifecycle, serving, and real-time inference. In-depth knowledge of security, compliance, RBAC, OAuth2/SAML, and data privacy. Experience architecting and scaling systems for millions of users and/or enterprise clients.
o Excellent communication, mentorship, and leadership skills. o Comfort with documentation, architectural diagrams, and driving technical decisions.

Desirable Skills

Experience integrating with Figma, Zapier, or similar design/workflow tools. Exposure to blockchain-based data security or tokenized reward systems. Prior work in AI-powered drag-and-drop builders, agent orchestration, or similar SaaS products. Experience working with distributed teams, startup environments, and fast-paced delivery.

What Success Looks Like

Both platforms launch on time, with high reliability, modularity, and extensibility. Minimal rework/tech debt post-MVP due to robust, forward-thinking architecture. Seamless integration of AI/ML/NLP features, with fast performance and easy onboarding for developers and end-users. Scalable foundations to rapidly support new features, integrations, and enterprise demands.

Reporting & Collaboration

Reports to Head Deep Tech & Applied AI Directly mentors all technical leads (Backend, DevOps, MLOps, AI/ML, NLP, Frontend, Security). Works closely with Product, UI/UX, PhDs, and QA.

Why Join Us?

Be the key architect for two next-gen AI products, working with a world-class team and ample budget. Massive ownership, impact, and visibility. * Opportunity to shape market-defining platforms used by enterprises and innovators globally.