Solution Architect

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
- Lead the overall solution architecture for both platforms—defining component boundaries, data flows, API contracts, and cloud/service integrations. - 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.
- Excellent communication, mentorship, and leadership skills. - 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 p