Engineering
/Founding leadership
Chief Solutions Architect (Artificial Intelligence, Quantum Computing & Emerging Technologies)
Lead the architecture, integration, and long-term technology strategy across AI, Quantum Computing, Robotics, HPC, IoT, Cloud, and Enterprise Platforms.
Compensation
₹35,00,000 – ₹70,00,000 per annum
Engagement
Full-Time
Permanent role. Full-time commitment. Primarily on-site, with limited remote flexibility.
Scope of role
Build the function from zero. Set the strategy. Own the outcome.
01 — The role
Why this role exists at EduRankAI
EduRankAI is building an Educational Intelligence Ecosystem while investing in Artificial Intelligence, Quantum Computing, Robotics, High-Performance Computing, Internet of Things, Enterprise Platforms, and next-generation digital infrastructure. We are seeking an exceptional Chief Solutions Architect to define our technology architecture, integration strategy, and long-term technical roadmap while guiding multidisciplinary engineering and research teams in building intelligent, scalable, secure, and future-ready technology platforms.
02 — The work
What you will own
- 01 Define the long-term technology architecture across EduRankAI products and platforms.
- 02 Design scalable, modular, secure, and interoperable system architectures.
- 03 Develop enterprise architecture standards and engineering principles.
- 04 Lead architecture reviews and technical decision-making.
- 05 Integrate AI, Quantum Computing, Robotics, IoT, HPC, Cloud, and Enterprise systems.
- 06 Design distributed, cloud-native, and microservices-based architectures.
- 07 Develop long-term technology roadmaps aligned with business objectives.
- 08 Evaluate emerging technologies for strategic adoption.
- 09 Provide architectural guidance to engineering and research teams.
- 10 Mentor senior engineers, architects, and technical leaders.
- 11 Collaborate with universities, research institutions, industry, and government partners.
- 12 Support intellectual property development and technology commercialization.
- 13 Represent EduRankAI at international conferences and technology forums.
- 14 Advise executive leadership on technology strategy and investments.
- 15 Ensure scalability, security, reliability, and performance across all platforms.
03 — The expertise
What we look for
04 — The bar
Who thrives here
- → Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Electrical Engineering, Robotics, Quantum Computing, or a related field.
- → Ph.D. is preferred but not mandatory.
- → 10–18+ years of experience in software architecture, enterprise architecture, systems engineering, AI, or advanced technology development.
- → Proven experience designing large-scale distributed and cloud-native systems.
- → Strong expertise in enterprise architecture and scalable software design.
- → Experience integrating AI, Quantum Computing, IoT, Robotics, High-Performance Computing, and Cloud technologies.
- → Strong knowledge of microservices, APIs, distributed systems, and modern infrastructure.
- → Experience with Python, C++, Rust, Go, Java, or similar programming languages.
- → Experience with Kubernetes, Docker, cloud platforms, and DevOps practices.
- → Knowledge of PyTorch, TensorFlow, Qiskit, PennyLane, CUDA, ROS, or similar technologies is preferred.
- → Strong leadership, architectural decision-making, and stakeholder management skills.
- → Excellent analytical, communication, and strategic thinking abilities.
- → Passion for building next-generation intelligent systems and leading multidisciplinary engineering teams.
05 — Hiring process
What to expect after you apply
- 01
Application review
Every application is read personally within five business days. We respond either way.
- 02
Take-home or live exercise
Role-specific. Time-boxed. Real problems we are actually working on, not invented puzzles.
- 03
Conversations
Deep technical and values conversations with the team you would join. No trick questions. No panel ambushes.
- 04
Offer or honest no
If yes: digital offer letter, signed in-portal, transparent terms. If no: written feedback if you want it.
Before you start
What we will collect. What it costs. What we will not do with it.
We will collect
- Name, email, phone — Account + application updates. No marketing.
- Resume / portfolio link — Human review of your work.
- Date + place of birth — Identity verification only.
- Your written responses — Selection rubric. Read by humans.
- Government ID (later) — Anti-fraud at offer / interview stage. Not at signup.
We will never
- Sell your data
- Share with third-party recruiters
- Use for advertising
- Train models on it
- Send marketing email
Our situation
EduRankAI is a small, independent organization building long-term capabilities in educational intelligence, advanced AI systems, and research infrastructure. We take no advertiser money, no donations with strings attached, and no investor pressure on hiring decisions. The small per-application fee covers the real cost of processing your application — human review, identity verification, infrastructure, reviewer time. It buys us the right to be honest. Genuine financial hardship? Request a fee waiver inside the application — reviewed individually within 5 business days, with no record in your file and no second-class treatment of waiver-granted applications.
Ready to apply?
We read every application personally. If you are the right person for this role — regardless of pedigree, background, or where you are based — you will hear back from us within five business days.
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