Architect the Future of Intelligent Technologies

Technology is evolving beyond individual disciplines.

The next generation of innovation will emerge from the convergence of Artificial Intelligence, Quantum Computing, Robotics, Internet of Things, High-Performance Computing, Advanced Simulation, Intelligent Systems, and Future Digital Infrastructure.

At EduRankAI , we're building an Educational Intelligence Ecosystem while investing in frontier technologies that have the potential to transform education, research, industry, healthcare, aerospace, manufacturing, governance, and society.

We're seeking an exceptional Chief Solutions Architect (Artificial Intelligence, Quantum Computing & Emerging Technologies) to define the technical architecture, integration strategy, and long-term technology roadmap for our most ambitious initiatives.

This is one of the most strategic technical leadership roles within EduRankAI.

Your Mission

Architect intelligent, scalable, secure, and future-ready technology solutions by integrating emerging computing paradigms with enterprise-grade engineering practices.

You'll translate visionary ideas into technically feasible architectures while guiding multidisciplinary engineering teams toward successful execution.

Technology Domains

You will lead architecture and integration across: Artificial Intelligence

- Large Language Models (LLMs)
- Large Quantum Models (LQMs)
- Agentic AI
- Multi-Agent Systems
- Computer Vision
- Natural Language Processing
- Decision Intelligence
- Knowledge Graphs
- Autonomous AI Systems

Quantum Technologies

- Quantum Computing
- Quantum Machine Learning
- Hybrid Quantum-Classical Systems
- Quantum Algorithms
- Quantum Optimization
- Quantum Simulation

High-Performance Computing

- GPU Computing
- Parallel Computing
- Distributed Computing
- Scientific Computing




- Large-Scale Simulation

Robotics & Intelligent Automation

- Autonomous Robotics
- Industrial Robotics
- Service Robotics
- Human-Robot Interaction
- Intelligent Control Systems

Internet of Things

- Smart Devices
- Industrial IoT
- Edge Computing
- Sensor Networks
- Digital Twins

Cloud & Distributed Systems

- Cloud-native Platforms
- Distributed Architectures
- Microservices
- API Ecosystems
- Multi-cloud Infrastructure

Enterprise Technology

- Digital Transformation
- Enterprise Platforms
- Secure Architecture
- Identity & Access Management
- Scalable System Design

Key ResponsibilitiesTechnology Architecture

- Define the long-term technology architecture for EduRankAI's products and research initiatives.
- Design scalable, modular, and interoperable system architectures.
- Evaluate emerging technologies and recommend strategic adoption.
- Develop technical roadmaps aligned with organizational objectives.

Cross-Domain Integration

- Integrate AI, quantum computing, IoT, robotics, HPC, cloud, and enterprise systems into cohesive solutions.
- Design architectures that support future expansion and technological evolution.
- Ensure interoperability across multiple platforms and products.

Technical Leadership

- Provide architectural guidance to engineering and research teams.
- Establish engineering standards and architectural principles.
- Review critical technical decisions and system designs.




- Mentor senior engineers and technical leaders.

Innovation Strategy

- Evaluate emerging technologies and research trends.
- Identify opportunities for breakthrough innovation.
- Collaborate with universities, research institutions, industry partners, and government organizations.
- Support intellectual property development and technology commercialization.

Enterprise & Strategic Engagement

- Advise leadership on technology strategy and investment priorities.
- Support technical discussions with enterprise customers, governments, research organizations, and strategic partners.
- Represent EduRankAI at international conferences, technology forums, and innovation initiatives.

Required Qualifications

- Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Electrical Engineering, Robotics, Quantum Computing, or a related discipline. A Ph.D. is advantageous but not mandatory.
- 10-18+ years of experience in software architecture, systems engineering, enterprise architecture, AI, or advanced technology development.
- Demonstrated experience designing large-scale distributed systems and complex technology platforms.
- Robust understanding of multiple emerging technology domains.

Preferred Expertise

- Artificial Intelligence
- Large Language Models
- Large Quantum Models
- Quantum Computing
- High-Performance Computing
- Robotics
- Internet of Things
- Cloud Architecture
- Distributed Systems
- Enterprise Architecture
- Cybersecurity
- Edge Computing
- Digital Twins
- Scientific Computing
- Systems Engineering

Preferred Technologies

- Python
- C++
- Rust
- Go
- Java
- Kubernetes
- Docker
- PyTorch
- TensorFlow
- Qiskit
- PennyLane
- ROS
- CUDA
- OpenMP
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📌 Chief Solutions Architect (Artificial Intelligence, Quantum Computing & Emerging Technologies) (India)
🏢 EduRankAI
📍 India