India is steadily establishing itself as a global leader in technology, with advancements in AI, cybersecurity, quantum computing, and deep-tech innovation driving its growth. To gain insights into this transformation, Tech Achieve Media spoke with Rajprasath Subramanian, an experienced leader in enterprise architecture, AI strategy, and digital transformation. As the Principal Enterprise Architect at SAP America and a member of the IEEE AI Policy Committee, Rajprasath brings extensive expertise in AI-driven automation, IoT, and cloud-native solutions. In addition to his corporate experience, Rajprasath contributes to global discussions on AI governance, serves as a reviewer for the IEEE IoT Journal, and advises startups at Ben Franklin Technology Partners. His work spans emerging technologies like quantum computing and next-generation workforce development. In this conversation, Rajprasath shares his perspectives on India’s role in shaping the future of global technology and how emerging trends are redefining tech careers worldwide.
TAM: How is India positioning itself as a global hub for tech talent in areas like AI, cloud computing, and cybersecurity? What unique advantages does the Indian workforce bring to the global stage?
Rajprasath Subramanian: India has rapidly transformed from an IT outsourcing destination to a key player in AI-driven innovation, cybersecurity, and cloud computing. There are several factors contributing to this shift:
- Strong STEM talent pipeline – India produces millions of engineers and IT professionals each year, many specializing in AI, cybersecurity, and cloud-native technologies.
- Deep expertise in AI and cybersecurity – India has one of the largest developer communities contributing to open-source AI and security frameworks.
- Global R&D hubs—Major tech giants, including Google, Microsoft, SAP, etc. have set up AI and cloud research centers in India, further strengthening the country’s position as a hub for innovation.
- Government initiatives – Programs like AI for All and the National Cybersecurity Policy have enhanced India’s expertise in AI governance and security.
India’s combination of technical expertise, cost efficiency, and an innovation-driven culture makes it a formidable force in the global technology ecosystem. In most boardroom discussions, two critical topics that precede others are cybersecurity and AI innovation, which Indian tech professionals can truly capitalize on.
TAM: To what extent have government initiatives like ‘Make in India’ and ‘Digital India’ contributed to creating global tech career opportunities for Indian professionals?
Rajprasath Subramanian: Both Make in India and Digital India have been transformational for India’s tech industry.
- Digital India accelerated cloud adoption, AI research, and cybersecurity best practices, enabling Indian professionals to lead global digital transformation initiatives.
- Make in India has attracted foreign investments in semiconductor manufacturing, IoT, and AI-driven automation, creating high-value jobs beyond traditional IT services.
- The Production-Linked Incentive (PLI) Schemes have boosted India’s role in electronics manufacturing, Industry 4.0, and AI-driven automation, expanding opportunities in deep-tech, robotics, and quantum computing.
These initiatives helps IT professionals to move from traditional IT services roles to product development, deep-tech research, and global leadership positions.
TAM: With rapid advancements in technology, how can India’s tech workforce transition from service-based roles to more innovative, product-driven global tech roles?
Rajprasath Subramanian: To facilitate this transition, we need a fundamental shift in how Indian companies and professionals approach technology:
- Fostering a culture of innovation – Companies must prioritize R&D, patent filings, and in-house product development rather than focusing solely on outsourcing services.
- Upskilling in emerging technologies – AI, quantum computing, and synthetic biology will drive the next wave of disruption. Professionals need to continuously upgrade their skills in these areas.
- Encouraging entrepreneurship – India’s thriving startup ecosystem, supported by government-backed incentives, offers professionals the opportunity to find deep-tech ventures.
- Global exposure & collaboration – Engaging with international research communities and contributing to open-source AI projects will enhance India’s innovation capabilities.
- Industry-academia collaboration – Universities should integrate hands-on AI, quantum computing, and biotech coursework to produce a workforce ready for product innovation.
India’s future in tech will be defined by its ability to shift from execution to invention.
TAM: As global companies expand their operations in India, what role do Tier 2 and Tier 3 cities play in shaping the future of global tech careers? Are we witnessing an equitable distribution of opportunities across regions?
Rajprasath Subramanian: Absolutely. Tier 2 and Tier 3 cities are emerging as the next tech hubs because of:
- Lower operational costs – Companies find these cities attractive for IT hubs and remote work opportunities.
- Cloud & remote work adoption – Many tech professionals now work for global firms from smaller cities, eliminating geographical barriers.
- Government IT investments – States like Kerala, Odisha, Madhya Pradesh etc. are investing in tech parks, startup incubators, and IT corridors to decentralize opportunities.
- Rising quality of local education – Universities in non-metro cities are offering specialized AI, cybersecurity, and cloud computing programs.
However, challenges like last-mile infrastructure and gaps in the startup ecosystem need to be addressed to ensure a truly equitable distribution of tech opportunities.
TAM: India has traditionally faced the challenge of brain drain in tech sectors. How can the country retain its top talent while also attracting professionals back from global markets to strengthen its domestic tech ecosystem?
Rajprasath Subramanian: To reverse the brain drain, India must focus on:
- Creating global career paths within India – Competitive salaries, leadership roles, and cutting-edge R&D projects will keep top talent engaged.
- Expanding deep-tech R&D investments – Increased funding in quantum computing, AI, and biotech will create world-class innovation opportunities.
- Attracting professionals back – Programs like the VAIBHAV Summit and GIAN (Global Initiative of Academic Networks) are already bringing global experts of Indian origin back for collaborations.
- Strengthening the startup ecosystem – More venture funding and deep-tech incubation can encourage returning professionals to start companies in India.
- Improving work-life balance – Enhancing city infrastructure, public services, and hybrid work policies will make India a more attractive destination for global talent.
We are already witnessing a reverse brain drain trend, with top engineers and researchers returning from Silicon Valley to join Indian startups and R&D centers.
TAM: What steps should students take to prepare for careers in AI, quantum computing, and emerging tech fields?
Rajprasath Subramanian: Students today need a multidisciplinary approach to technology. Here are five key strategies:
- Focus on hands-on learning – Engage in open-source AI projects, quantum computing simulators, and hackathons rather than just theoretical coursework.
- Develop computational thinking – Understanding data structures, algorithms, and computational models is critical, whether working in AI, blockchain, or synthetic biology.
- Learn beyond coding – While programming skills in Python, Rust, etc are valuable, students should also explore AI ethics, cybersecurity frameworks, and regulatory compliance.
- Build strong industry connections – Participate in internships, research collaborations, and tech conferences to gain exposure to industry trends.
- Work on interdisciplinary projects – AI is intersecting with biotechnology, logistics, and climate tech. Real-world applications will make students future-ready.
The ability to adapt, experiment, and build in emerging fields will differentiate students in the AI-driven job market.
TAM: How can universities redesign their curriculum to better equip students for global tech leadership roles?
Rajprasath Subramanian: Universities must go beyond traditional IT education to future-proof students. Key areas for improvement include:
Integrating AI, Quantum, and Cybersecurity into Core Curriculum
- Courses should include Quantum Machine Learning, AI Ethics, and Decentralized Computing.
- Industry certifications in cloud computing, cybersecurity, and AI should be part of degree programs.
Strengthening Industry-Academia Collaboration
- Partnering with tech leaders like SAP, Google, Microsoft, and NVIDIA for joint research projects and internships.
- Creating co-op programs where students alternate between study and real-world work.
Fostering an Entrepreneurial Mindset
- Encourage students to work on deep-tech startup ideas and provide university-backed seed funding.
- Introduce VC engagement and IP filing workshops to help students commercialize innovations.
Promoting Hands-on Research in AI & Quantum Computing
- Universities should set up quantum computing labs and offer access to cloud-based quantum processors like IBM Q or Amazon Braket.
- AI research should focus on explainable AI (XAI), synthetic biology AI, and federated learning.
Expanding Remote & Hybrid Learning Models
- Partner with global institutions to provide Indian students access to MIT, Stanford, and ETH Zurich AI research courses.
- Integrate metaverse-based education, AI-driven adaptive learning, and global research collaborations.
