The Solution Architect will be responsible for designing end-to-end technology solutions across AI, cloud, enterprise applications, data platforms, and digital infrastructure. The ideal candidate will bridge business requirements and technical implementation by defining architecture standards, technology roadmaps, and scalable solution frameworks.
This role requires strong expertise in cloud-native architectures, enterprise systems, AI/ML ecosystems, microservices, integrations, and modern application development practices.
Key Responsibilities
Solution Architecture & Design
- Design scalable, secure, and high-performance enterprise solutions aligned with business objectives.
- Define solution architecture, technical standards, and best practices across projects.
- Create architecture blueprints, system design documents, and technology roadmaps.
- Ensure alignment between business requirements and technical solutions.
AI & Data Platform Architecture
- Design architectures for AI-powered applications, intelligent automation platforms, and data-driven solutions.
- Collaborate with AI, Data Science, and Engineering teams to build scalable AI ecosystems.
- Define solution frameworks for machine learning, analytics, generative AI, and enterprise AI use cases.
- Support architecture decisions related to AI infrastructure, model deployment, data pipelines, and AI operations (MLOps).
Cloud & Infrastructure Architecture
- Design cloud-native architectures leveraging AWS, Azure, or Google Cloud Platform.
- Architect highly available, resilient, and scalable systems.
- Support infrastructure planning for data center, cloud, hybrid cloud, and edge computing environments.
- Ensure disaster recovery, business continuity, and security requirements are incorporated into solutions.
Enterprise Application Architecture
- Design microservices-based architectures and API-driven ecosystems.
- Define integration strategies across enterprise applications, cloud services, and third-party platforms.
- Guide development teams on application modernization initiatives.
- Review system performance, scalability, and maintainability.
Technology Leadership
- Evaluate emerging technologies and identify opportunities for innovation.
- Recommend architecture improvements to support business growth and digital transformation.
- Establish architecture governance, standards, and review processes.
- Provide technical leadership and mentoring to engineering teams.
Stakeholder Management
- Work closely with business leaders, product teams, clients, and technology teams to understand requirements.
- Present solution designs, technical proposals, and architecture recommendations to stakeholders.
- Participate in client discussions, technical workshops, and solution discovery sessions.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.
- 8–12 years of experience in solution architecture, or enterprise architecture.
- Proven experience designing large-scale enterprise applications and distributed systems.
- Strong understanding of cloud, DC architecture principles, design patterns, and system integration.
- Experience with cloud platforms such as AWS, Azure, Open stack or Google Cloud Platform.
- Expertise in microservices architecture, REST APIs, event-driven systems, and containerized environments.
- Strong knowledge of databases, data architecture, and integration frameworks.
Technical Skills
Architecture & Design
- Enterprise Architecture
- Solution Architecture
- Microservices
- Event-Driven Architecture
- API Management
- System Integration
Cloud & DevOps
- AWS / Azure / GCP /Linux/ Redhat
- Kubernetes
- Docker
- CI/CD Pipelines
- Infrastructure as Code
AI & Data Technologies
- Artificial Intelligence Platforms
- Generative AI Solutions
- Machine Learning Ecosystems
- MLOps Concepts
- Data Platforms & Analytics
- AI Infrastructure Architecture
Preferred Experience
- Experience working on AI, Cloud, Data Center, SaaS, or Digital Transformation projects.
- Exposure to Generative AI, LLM-based applications, AI Agents, or Enterprise AI Platforms.
- Experience designing solutions for highly regulated or mission-critical environments.
- Cloud Architect certifications or architecture certifications are highly desirable.
Key Competencies
- Strategic Thinking
- Problem Solving
- Stakeholder Management
- Technology Leadership
- Communication & Presentation
- Innovation Mindset
- Solution Consulting
Why Join Calinova AI?
- Opportunity to architect next-generation AI and digital infrastructure solutions.
- Work on large-scale AI, cloud, and data center initiatives.
- Collaborate with industry leaders and technology innovators.
- Be part of a company shaping the future of AI adoption and enterprise transformation.
- High-impact role with significant growth and leadership opportunities.
Benefits:
- Flexible schedule
- Health insurance
- Paid sick time
- Provident Fund
- Work from home
Work Location: In person
