When Indian companies talk about the shortage of AI talent, the conversation usually focuses on data scientists, machine learning engineers and platform specialists. These roles are essential, but they represent only one part of what is required to move AI from experimentation into production. A less discussed talent gap is emerging among engineers who can understand a customer’s business problem, translate it into a workable architecture and bring together compute, networking, security, data governance and cost considerations. This is the role of solution engineering, and its importance is growing as AI projects become more complex.
The value of engineering experience
India’s technology industry has been built on generations of engineers who developed deep expertise by designing, deploying and operating complex systems. Over time, many progressed into technical leadership, architecture, delivery and management roles, carrying that experience into increasingly demanding environments. As technology stacks have expanded, there is now greater scope to apply this expertise across multiple disciplines and closer to the customer. Solution engineering brings together technical depth, an understanding of business requirements, implementation realities and commercial considerations.
For experienced engineers, this creates another avenue to apply years of technical knowledge. Someone who understands a particular domain deeply and can connect it to a wider technology environment can play a critical role in shaping a solution. Their understanding of real-world systems, trade-offs and implementation challenges becomes especially valuable when a customer is making decisions about complex technology.
Why the role is difficult to fill
AI projects have made the need for this expertise more visible. A customer looking to deploy AI may need to consider model requirements alongside power and cooling, data centre capacity, networking, security, data governance and cost. Procurement and infrastructure planning add further considerations, particularly as demand for specialised compute grows. Connecting these elements requires judgement built through experience. Training can provide knowledge of individual technologies, but years of building and operating systems provide a deeper understanding of how those technologies behave in real environments and how different components need to work together.
This is why solution-engineering teams often include professionals with fifteen to thirty years of experience across areas such as data centres, networking, security and workplace technology. Their technical foundation enables them to assess a customer requirement from multiple angles and arrive at a design that is not only technically sound, but also practical to implement and operate. The role is not simply about knowing more technologies. It is about understanding how those technologies interact, where the trade-offs lie and what will work in the customer’s environment.
AI is changing how engineers work
AI is also becoming a powerful tool within solution-engineering teams themselves. Proposals, customer briefings, research across previous engagements and early-stage proofs of concept can increasingly be supported by AI tools. This can reduce the time engineers spend on repetitive preparation and allow them to focus on the areas where experience matters most: understanding the customer’s requirement, evaluating trade-offs, developing the architecture and working through implementation challenges.
For experienced engineers, this creates an opportunity to combine years of technical judgement with a new generation of productivity tools. AI can accelerate the work around a solution, but the engineer continues to provide the context and judgement needed to shape it. This distinction is important. AI tools can help generate options, summarise information and speed up analysis. They do not remove the need for someone who can assess whether a solution is appropriate for a particular business, technology environment and operating model.
India’s expanding opportunity
India is becoming an important base for solution engineering as global technology companies build larger and more specialised teams here. Engineers in India are increasingly working on complex customer engagements alongside colleagues in other markets, contributing to solution design as well as go-to-market planning. The presence of senior technology decision-makers and large enterprise customers in India adds another advantage. Solution engineers who understand the technology, the local business environment and the customer’s operating context can make collaboration more effective and help connect global capabilities with local requirements.
This is also expanding the opportunities available to Indian engineers. Deep technical expertise can increasingly be applied across geographies, industries and customer environments. Engineers do not have to choose between remaining technically focused and developing broader business relevance. Solution engineering offers a path that combines both.
Building the next generation of talent
India has a strong base of engineers capable of moving into solution engineering. The challenge is creating the pathways and experiences that allow this expertise to develop. Solution engineering benefits from years of hands-on delivery, exposure to different technology environments and experience with large, complex customer requirements. Engineers who have spent years running systems in production bring valuable context to these roles.
Developing this talent therefore requires time, exposure and mentoring. Engineers need opportunities to work on increasingly complex engagements and learn from people who have built and delivered such solutions before. Organisations also need to rethink what it takes to manage highly experienced individual contributors , it’s a different discipline altogether. Technical experts need room to apply their judgement, while remaining aligned around the customer outcome.
This is not a capability that can be created through short-term training alone. Organisations need to create specific career paths that value deep technical expertise, customer understanding and the ability to work across disciplines.
From AI design to production
The rise of AI is creating new demands on engineering, while also increasing the value of experience built over decades. As technology becomes more interconnected, the ability to understand a customer problem, connect multiple technical disciplines and turn that understanding into a practical solution is becoming increasingly important.
For India, the opportunity lies in building on its deep engineering base and giving experienced professionals new avenues to apply their expertise. The combination of technical depth, real-world experience and AI-enabled productivity can play a significant role in helping the next generation of AI projects move from design to production.
The article has been written by Nitin Maheshwari, Director, Specialist Solutions Engineering, AHEAD
