About the role
Location: , Center of Excellence in AI for Agriculture, IIT Ropar(Onsite preferred; hybrid/remote may also be considered)
Type: Full-Time | Contractual | Renewable based on performance
Compensation: ₹20 - 30 Lakhs per annum (Based on qualifications and experience)
Performance Incentives: Additional incentives based on performance and outcomes, subject to Governing Board approval
Tenure: Initial appointment for 2 years, extendable up to 5 years
Minimum experience of 10+ years (May be relaxed in the case of exceptional candidates.)
As the Sr. System Architect of , you will be responsible for designing and scaling the core technology architecture that powers AI-enabled agricultural solutions. This role demands expertise in enterprise-scale system design, cloud-native infrastructure, and integration of AI/ML pipelines into production systems. You will play a pivotal role in building the digital backbone of , ensuring secure, scalable, and high-performance systems are deployed effectively in rural and agricultural contexts.
This position is ideal for an experienced industry professional with a proven track record in system architecture, large-scale deployments, and technical leadership. You will oversee the technical alignment of ’s engineering teams, which include System Architects, AI Engineers (Lead, Sr., Junior), and MERN Stack Developers (Lead, Sr., Junior)
Key Responsibilities
Enterprise Architecture & Technology Leadership
Define and implement the long-term technology architecture roadmap for .
Design distributed, fault-tolerant, and scalable platforms that integrate AI/ML, IoT, and big data analytics.
Establish standards for cloud, edge, and hybrid architectures suited for rural and resource-constrained environments.
AI/ML Systems Engineering
Collaborate with AI researchers and engineers to transform prototypes into production-ready systems.
Lead MLOps strategy including automated model deployment, monitoring, and continuous feedback pipelines.
Ensure responsible AI adoption with transparency, interpretability, and fairness embedded in system design.
Platform & Ecosystem Integration
Architect reusable system components, APIs, and services to support multiple agri-tech solutions.
Oversee integration of different data sources and APIs into unified platforms.
Ensure compliance with data security, privacy, and interoperability standards across the ecosystem.
System Testing, Quality Assurance & Reliability
Define and oversee comprehensive testing strategies including unit, integration, regression, performance, and security testing.
Establish CI/CD pipelines with automated testing frameworks.
Ensure fault tolerance, high availability, and disaster recovery through rigorous validation and benchmarking.
Build monitoring and alerting frameworks for proactive detection of failures and performance bottlenecks in field deployments.
Technical Leadership & Team Alignment
Provide architectural guidance and mentorship to System Architects, AI Engineers, and MERN Stack Developers.
Align cross-functional teams toward a unified design vision, ensuring coherence across AI models, backend services, and frontend applications.
Define coding standards, architectural blueprints, and documentation processes to maintain uniformity across the technology stack.
Lead technical design reviews, architecture audits, and post-mortem analyses to drive continuous improvement.
Foster a culture of engineering excellence, collaboration, and accountability within the team.
Educational Qualifications & Skills
Bachelor’s/Master’s degree in Computer Science, Information Systems, Electrical Engineering, or related disciplines from a reputed institution.
Strong expertise in enterprise system architecture, cloud-native platforms (AWS, Azure, GCP), containerization, and microservices.
Deep knowledge of MLOps, big data technologies, IoT frameworks, and cybersecurity.
Professional Experience
Minimum 5+ years of industry experience in system architecture, platform engineering, or enterprise technology leadership.
Proven track record of architecture and scaling AI/ML-driven platforms or mission-critical digital ecosystems.
Experience in managing and aligning diverse engineering teams (AI, web, and system specialists).
Prior exposure to large-scale deployments in complex environments such as agri-tech, rural technology, or IoT-driven platforms will be an advantage.
Familiarity with startup ecosystems, government-backed digital initiatives, or Section 8 entities is desirable.
The Sr. System Architect will be eligible for performance-based incentives, subject to periodic reviews and Governing Board approval. Incentives will be outcome-driven and aligned with ’s long-term mission.
One month’s notice in year one, two months in subsequent years, or salary in lieu.
Application Process
Submit your application through the Zoho Recruit portal.
Subject Line: Application for Sr. System Architect –
Deadline: Applications are reviewed on a rolling basis until the position is filled.