Solution Architect – Emerging Technologies

Key Responsibilities1. Architecture & Technical Leadership

• Design end-to-end architectures for AI solutions, IoT platforms, mobile apps, data platforms, and cloud-native systems
• Create architecture diagrams, data models, API specifications, and cloud infrastructure plans
• Define security and compliance frameworks for scalable systems
• Evaluate and recommend emerging technologies aligned with R&D objectives
• Establish architecture standards and best practices across projects

2. Project Oversight & Delivery Management

• Serve as technical lead and solution owner for software development projects
• Collaborate with product managers and engineering teams to break down requirements
• Define technical scope and architecture approach
• Estimate effort and guide sprint planning
• Ensure adherence to code quality, security, and DevOps best practices
• Oversee AI model governance and system integration strategies

3. R&D & Innovation Enablement

• Partner with research teams to translate concepts into technical architectures
• Support technical sections of grant proposals and innovation initiatives
• Prototype new ideas using rapid experimentation and POCs
• Evaluate new frameworks, tools, and platforms for innovation programs
• Drive adoption of emerging technologies in product development

4. System Design & Integration

• Architect scalable cloud-native and microservices-based systems
• Design API-first and event-driven architectures
• Define data platform architectures and integration strategies
• Ensure system scalability, reliability, and performance optimization
• Implement secure system integration across platforms

5. Security & Compliance Governance

• Ensure architecture compliance with security standards (HIPAA, NIST, etc.)
• Define secure authentication, authorization, and data protection models
• Implement risk mitigation strategies in system design
• Enforce cloud security and DevSecOps practices

6. Team Management & Leadership

• Manage and oversee the performance of the engineering and architecture team
• Provide technical mentorship and guidance to team members
• Allocate resources and balance workload across projects
• Conduct performance reviews and support team development plans
• Ensure team adherence to architecture standards and delivery timelines
• Foster collaboration across cross-functional teams

7. Stakeholder Collaboration

• Collaborate with clients, government partners, universities, and internal teams
• Present technical architectures to non-technical stakeholders
• Validate solution feasibility and scalability with cross-functional teams
• Provide technical guidance to engineering and product teams

8. Technical Documentation & Knowledge Sharing

• Document architecture designs and technical decisions
• Prepare architecture guidelines and reusable frameworks
• Conduct knowledge-sharing sessions with engineering teams
• Maintain architecture standards and governance documentation

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• 5+ years of experience in software architecture or senior engineering roles
• Hands-on experience with cloud platforms (Azure, AWS, or GCP)
• Experience with AI/ML frameworks (TensorFlow, PyTorch, Azure ML, SageMaker)
• Experience with IoT ecosystems and edge computing
• Strong knowledge of API and microservices architecture
• Experience with mobile applications and data platforms
• Experience leading software development teams
• Strong understanding of scalability, security, and system integration patterns

Preferred Qualifications

• Experience with healthcare systems and HIPAA/FDA compliance
• Experience architecting AI systems for real-time data or predictive analytics
• Experience working in R&D or innovation environments
• Relevant certifications (AWS Solutions Architect, Azure Solutions Architect, TOGAF, PMP, etc.)

Job Type: Full-time

Pay: Rs300,000.00 - Rs350,000.00 per month

Application Question(s):

• How many years of experience in software architecture role?
• Do you have hands-on experience with cloud platforms such as Azure, AWS, or GCP?
• Have you designed and implemented microservices or API-first architectures in production environments?
• Do you have experience working with AI/ML frameworks such as TensorFlow, PyTorch, or similar?
• Have you led or managed engineering teams in delivering scalable and secure software solutions? If yes, please share size of your team.
• Please share your current salary.
• Please share your expected salary.
• Please share your notice period.
• Please share your reason for leaving the current/last employer.

Work Location: In person