SOLUTION ARCHITECT SAAS, CLOUD & AI PRODUCTS
Company: Ramxora Private Limited (Ramxora.AI)
Parent Organization: Treez Enterprise Group
Location: Mahadevapura, Bengaluru, Karnataka
Work Mode: Onsite
Experience: 23 Years
Employment Type: Full-Time
Industry: SaaS | AI/ML | Generative AI | LLM | Cloud | Enterprise Software
ABOUT RAMXORA
Ramxora Private Limited (Ramxora.AI), a division of Treez Enterprise Group, is a technology organization focused on developing and delivering SaaS products, AI/LLM-
powered applications, enterprise software platforms, APIs, automation solutions, cloud-
based applications, and digital products.
We are looking for a technically strong and solution-oriented Solution Architect with 23
years of relevant experience to help design, evaluate, and implement scalable and secure technology solutions across our SaaS, AI, and software product ecosystem.
The ideal candidate should have a strong understanding of software architecture, cloud technologies, APIs, databases, backend and frontend systems, AI/LLM architectures,
DevOps, security, scalability, integrations, and system design.
ROLE SUMMARY The Solution Architect will be responsible for translating business and product requirements into scalable, secure, reliable, and technically feasible software solutions.
The candidate will work closely with:
- CTO / Technical Leadership
- Technical Product Managers
- Project Managers
- Software Engineers
- Full Stack Developers
- Backend Developers
- Frontend Developers
- AI/ML Engineers
- LLM/RAG Engineers
- DevOps Engineers
- Cloud Engineers
- Security Engineers
- QA Engineers
- UI/UX Designers
- Database Engineers
- Business Stakeholders The role requires the ability to understand the business problem, product requirements,
technical constraints, architecture options, integration requirements, security requirements, scalability requirements, and operational requirements before proposing a solution.
KEY RESPONSIBILITIES
1. SOLUTION ARCHITECTURE & DESIGN
- Design end-to-end technical solutions for SaaS and software products.
- Translate business requirements into technical architecture.
- Define application components and system boundaries.
- Design scalable and maintainable application architectures.
- Identify appropriate technologies and frameworks.
- Define interactions between frontend, backend, APIs, databases, cloud services, and external systems.
- Evaluate technical alternatives and recommend appropriate solutions.
- Ensure architecture aligns with business and product objectives.
• Create architecture diagrams and technical documentation.
- SYSTEM DESIGN
Design solutions involving
- Web applications
- Mobile applications
- SaaS platforms
- Enterprise applications
- REST APIs
- Microservices
- Event-driven systems
- Third-party integrations
- Data processing systems
- AI/ML applications
- LLM applications
- Cloud-based systems The candidate should understand:
- System components
- Service boundaries
- Data flow
• Request/response flow
• Authentication
- Authorization
- Integration patterns
- Failure handling
- Scalability
- Availability
- Performance
- Security
- SAAS ARCHITECTURE
Work on architecture for modern SaaS products including:
- Multi-user applications
- Role-based access systems
- Admin dashboards
- Customer dashboards
- Subscription-based applications
- API-driven products
- Multi-tenant systems
- SaaS integrations
- Cloud-hosted applications
- Enterprise SaaS platforms
Understand and consider
- Tenant isolation
- Authentication
- Authorization
- RBAC
- Data isolation
- Scalability
- Availability
- Performance
- Monitoring
- Backup
- Disaster recovery
- Cost optimization
- AI / LLM SOLUTION ARCHITECTURE
Experience or exposure to AI/ML and LLM-based solutions is highly preferred.
Work on solutions involving
- Generative AI
- Large Language Models
- LLM APIs
- Retrieval Augmented Generation (RAG)
- Vector Databases
- Embeddings
- AI Agents
- Prompt Engineering
- AI Automation
- Document Processing
- Knowledge Bases
- AI-powered SaaS applications
- Model integrations
Responsibilities include
- Design AI/LLM application architecture.
- Define data flow between applications and AI services.
- Evaluate appropriate AI/LLM integration approaches.
- Design RAG pipelines where required.
- Define vector database integration.
- Coordinate AI model/API integration.
- Consider token usage and AI infrastructure costs.
- Consider latency and performance.
- Design mechanisms for handling failures and poor AI responses.
- Work with AI/ML engineers to improve solution architecture.
- CLOUD ARCHITECTURE
Design and evaluate cloud-based solutions using:
- AWS
- Microsoft Azure
- Google Cloud Platform
Understand services related to
- Compute
- Storage
- Databases
- Networking
- Load Balancing
- CDN
- Containers
- Serverless architecture
- Monitoring
- Logging
- Security
- Backup
- Disaster Recovery The candidate should be able to evaluate cloud architecture based on:
Scalability + Reliability + Security + Performance + Cost
- API & INTEGRATION ARCHITECTURE
Design and review
- REST APIs
- API gateways
- Third-party integrations
- Webhooks
- Authentication systems
- Service-to-service communication
- External API integrations
- Microservice communication
Understand
- API versioning
- Authentication
- Authorization
- Rate limiting
- Error handling
- Request/response structures
- API security
- Service dependencies
- Integration failures
- DATABASE ARCHITECTURE
Work with development teams to define appropriate database solutions.
Technologies may include
- PostgreSQL
- MySQL
- MongoDB
- Redis
- Vector databases
Responsibilities include understanding
- Data modeling
- Schema design
- Relationships
- Indexing
- Query performance
- Data consistency
- Caching
- Replication concepts
- Backup and recovery
- Data scalability The candidate should be able to identify when a relational, NoSQL, cache, or vector database approach is appropriate.
- SECURITY ARCHITECTURE
Security must be considered throughout the solution lifecycle.
Understand and incorporate
- Authentication
- Authorization
- RBAC
- OAuth concepts
- API security
- Encryption
- Secrets management
- Secure communication
- Data protection
- Access control
- Cloud security
- Application security
- Vulnerability management
Work with security and development teams to identify and mitigate architectural security risks.
- SCALABILITY & PERFORMANCE
Design systems capable of handling increasing users, data, and workloads.
Consider
- Horizontal scaling
- Vertical scaling
- Load balancing
- Caching
- Database optimization
- Asynchronous processing
- Queue-based processing
- CDN
- Microservices
- Containerization
- Auto-scaling
- Performance monitoring
Analyze potential bottlenecks before they become production problems.
- RELIABILITY & HIGH AVAILABILITY
Design solutions with appropriate reliability considerations.
Understand
- Fault tolerance
- Redundancy
- Failover
- High availability
- Backup
- Disaster recovery
- Recovery Time Objective (RTO)
- Recovery Point Objective (RPO)
- Monitoring
- Alerting
- Incident response
Architecture decisions should consider what happens when individual services or infrastructure components fail.
- DEVOPS & DEPLOYMENT ARCHITECTURE
Work closely with DevOps teams on:
- CI/CD
- Docker
- Kubernetes
- GitHub/GitLab
- Deployment pipelines
- Infrastructure
- Environment management
- Configuration management
- Monitoring
- Logging
- Production deployment
Understand the flow
Development Testing Staging Production
Ensure architecture supports reliable deployment and rollback.
- TECHNICAL FEASIBILITY
Evaluate product requirements from a technical perspective.
For every major requirement, assess:
- Technical feasibility
- Development complexity
- Infrastructure requirements
- Security implications
- Performance impact
- Scalability
- Integration requirements
- Cost
- Development effort
- Long-term maintainability
Provide technical recommendations to Product Managers and Technical Project Managers.
- ARCHITECTURE DOCUMENTATION
Create and maintain
- High-Level Design (HLD)
- Low-Level Design (LLD) where applicable
- System Architecture Diagrams
- Data Flow Diagrams
- Sequence Diagrams
- API Architecture
- Integration Architecture
- Database Architecture
- Cloud Architecture
- Deployment Architecture
- Security Architecture
- Technical Decision Records
- Architecture Documentation
1. ARCHITECTURE REVIEW Review existing and proposed solutions for:
- Scalability
- Security
- Performance
- Reliability
- Maintainability
- Cost
- Technical debt
- Integration complexity
Identify architectural weaknesses and recommend improvements.
- CODE & ENGINEERING COLLABORATION The candidate will work closely with developers and technical leads.
Responsibilities include
- Review technical approaches.
- Guide development teams on architecture.
- Clarify technical requirements.
- Review implementation against architecture.
- Identify architectural deviations.
- Support complex technical problems.
- Participate in technical design discussions.
- Promote reusable and maintainable solutions.
Strong coding ability is an advantage, but the primary responsibility is solution design and technical architecture.
- PRODUCT & BUSINESS COLLABORATION Work closely with Product Managers and Project Managers to understand:
- Business requirements
- User requirements
- Product goals
- Customer requirements
- Feature priorities
- Business constraints
- Delivery timelines
Translate these requirements into technically feasible solutions.
The Solution Architect should be able to explain: What should we build?
How should it work?
Why is this architecture appropriate?
What are the risks?
How will it scale?
What will it cost?
What happens if it fails?
- THIRD-PARTY & EXTERNAL SYSTEM INTEGRATION
Evaluate and design integrations with:
- Payment systems
- Authentication providers
- Communication services
- AI/LLM providers
- Cloud services
- External APIs
- Business platforms
- Data providers
- SaaS applications
Assess
- API availability
- Security
- Reliability
- Rate limits
- Data flow
- Failure handling
- Vendor dependency
- Cost
- Scalability
- PRODUCTION & INCIDENT SUPPORT
Support engineering teams during critical production issues.
Responsibilities include
- Analyze architectural causes of production issues.
- Identify system bottlenecks.
- Support root-cause analysis.
- Recommend permanent solutions.
- Review recurring incidents.
- Recommend architecture improvements.
- Participate in post-incident reviews.
Focus on
Immediate Fix Root Cause Permanent Solution Preventive Architecture
Improvement
- TECHNICAL DEBT MANAGEMENT
Identify architectural and technical debt such as:
- Poor service design
- Inefficient database structures
- Tight coupling
- Outdated technologies
- Scalability limitations
- Security weaknesses
- Performance bottlenecks
- Poor integration design
Work with Product and Engineering teams to prioritize technical improvements.
- TECHNOLOGY EVALUATION
Evaluate technologies, frameworks, tools, and platforms based on:
- Business requirements
- Technical suitability
- Performance
- Scalability
- Security
- Developer productivity
- Community/support
- Cost
- Long-term maintainability
Participate in Proof of Concept (POC) activities where required.
- TECHNICAL LEADERSHIP
- Provide technical direction to development teams.
- Promote architecture best practices.
- Encourage reusable solutions.
- Help teams understand architectural decisions.
- Identify technical risks early.
- Support engineering teams with complex technical decisions.
- Communicate architecture decisions to technical and non-technical stakeholders.
- REQUIRED TECHNICAL UNDERSTANDING The candidate should have good working knowledge of several of the following:
Application Development
- Python
- Node.js
- React.js
- Next.js
- FastAPI
- Django
- Flask
- JavaScript / TypeScript
Architecture
- Monolithic Architecture
- Microservices
- Service-Oriented Architecture
- Event-Driven Architecture
- Distributed Systems concepts
- API-driven architecture
Database
- PostgreSQL
- MySQL
- MongoDB
- Redis
- Vector Databases
Cloud
- AWS
- Azure
- GCP
DevOps
- Git
- Docker
- Kubernetes
- CI/CD
- Cloud deployment
- Monitoring
- Logging
AI / LLM
- Generative AI
- LLM
- RAG
- Embeddings
- Vector Search
- AI APIs
- AI Agents
- Prompt Engineering
- QUALIFICATION
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field.
- Master's degree or specialized architecture/cloud certification is an advantage.
- AWS/Azure/GCP certification is an advantage.
- Relevant architecture or cloud certifications are preferred but not mandatory.
- EXPERIENCE
23 years of relevant experience in one or more of the following:
- Solution Architecture
- Software Architecture
- Technical Architecture
- Application Architecture
- Cloud Architecture
- Software Engineering
- Full Stack Development
- Backend Development
- SaaS Product Development
- AI/ML Product Development
Candidates with strong experience in software engineering or full-stack development who have moved toward system design and solution architecture may also be considered.
Experience in SaaS, AI/LLM, cloud, enterprise software, or technology product companies will be preferred.
1. IDEAL CANDIDATE PROFILE We are looking for someone who:
- Has strong system-design thinking.
- Understands modern software architecture.
- Can translate business requirements into technical solutions.
- Has strong understanding of APIs and integrations.
- Understands cloud architecture.
- Has knowledge of SaaS architecture.
- Understands databases and data flow.
- Has exposure to AI/LLM architectures.
- Understands security fundamentals.
- Thinks about scalability and reliability.
- Can communicate effectively with developers.
- Can explain technical concepts clearly.
- Is analytical and solution-oriented.
- Can evaluate technical trade-offs.
- Takes ownership of architecture decisions.
- Is comfortable working in a fast-paced technology startup.
IMPORTANT
This is not a documentation-only Architecture role.
The candidate should be technically capable of understanding real software engineering challenges and should be comfortable discussing architecture, APIs, databases, cloud infrastructure, security, scalability, performance, integrations, deployment, and
AI/LLM systems with engineering teams.
The candidate should think beyond:
Will this solution work?
and evaluate:
Will it scale, remain secure, perform reliably, be maintainable, integrate correctly, and remain cost-effective as the product grows?
- KEY PERFORMANCE INDICATORS (KPIs) Performance will be evaluated based on:
- Quality of architecture decisions
- Technical feasibility
• Scalability
• Reliability
- Security
- Performance
- Maintainability
- Architecture documentation
- Reduction of technical risks
- Reduction of recurring technical issues
- Successful system integrations
- Production stability
- Effective technical guidance
- Technology evaluation
- Overall solution ownership
- CAREER GROWTH
This role provides opportunities to grow into:
Senior Solution Architect Technical Architect Cloud Architect Enterprise
Architect Principal Architect / Architecture Lead
- WHY JOIN RAMXORA?
- Work on modern SaaS products.
- Exposure to AI, Generative AI, LLM, and RAG architectures.
- Work with modern cloud technologies.
- Work closely with engineering and product leadership.
- Design solutions for real-world software products.
- Exposure to scalable and secure cloud-based applications.
- Opportunity to work across AI + SaaS + Cloud + Software Architecture.
- Quick-paced technology startup environment.
- Opportunity to develop into a senior technical architecture role.
APPLY NOW
Company: Ramxora Private Limited (Ramxora.AI)
Parent Organization: Treez Enterprise Group
Location: Mahadevapura, Bengaluru, Karnataka
Work Mode: Onsite
Experience: 23 Years
Employment Type: Full-Time
Email:
[email protected]
Subject: Application Solution Architect SaaS & AI Products
Candidates with experience in software architecture, system design, SaaS, cloud, APIs,
AI/LLM, databases, DevOps, security, and scalable application development are encouraged to apply.
📌 Solution Architect-Saas Products (Bengaluru)
🏢 Ramxora Private Limited (Treez Enterprise)
📍 Bengaluru