With the increasing use of artificial intelligence (AI), new career opportunities are emerging in the field of engineering. Now companies need professionals who are not limited to just creating software or AI models, but can also implement them according to business needs. Such professionals are called Forward Deployed Engineers (FDE). According to a report by Scalar Cybermedia Research, 88% of companies expect their demand to increase by 2030. 80% of engineers working on these posts earn Rs. 40 lakh to Rs. Earn between 1 crore.

What is a Forward Deployed Engineer?

Forward Deployed Engineers (FDEs) are professionals who combine software development, AI engineering and business intelligence. Their job is to understand the needs of customers and design technical solutions for them. These engineers integrate AI tools with companies’ existing systems and ensure that the technology proves useful in real-world work. In addition, they are also responsible for solving problems that arise while implementing the solutions.

Why is the demand increasing in companies?

With the increasing use of AI, companies are looking for engineers who can make the technology practical. According to the report, 80% of companies prioritize AI and GenAI skills, 77% for product deployment and 61% for customer interaction and business understanding. 88% of companies expect demand for FDE capabilities to increase by 2030. At the same time, 77% of multinational companies are planning to hire such professionals in the next 12 months.

These skills will land you a high paying job

Just knowing coding is not enough to make a career as an FDE. Candidates should have knowledge of AI and GenAI, cloud technologies, data systems, software integration and product deployment. Along with this, it is also important to understand customer needs, solve problems and explain technical information in a simple way.

According to the report, 80% of engineers working in this post have an annual income between Rs 40 lakh and Rs 1 crore. A salary increase of up to 30% is also possible due to AI expertise, deployment and customer-centric problem solving. However, this salary is not fixed for every candidate. Actual earnings depend on experience and skills.

How to make a career as an existing engineer?

Software engineers can advance in this field by learning AI, system integration and deployment skills. At the same time, AI/ML professionals can gain experience in manufacturing systems and customer communications. According to the report, 47% of companies are planning to upskill software engineers and 39% are planning to upskill AI/ML engineers. In such a position, practical projects, technical training and experience working on real problems can be beneficial for the candidates. However, just getting a certificate is not enough. Candidates must demonstrate that they can successfully design and implement AI-based solutions.