88% of Indian firms want Forward Deployed Engineers by 2030, but only 1% of engineers qualify

Indian enterprises face a critical talent shortage as they race to implement artificial intelligence solutions. The Scaler-CMR report reveals that 88% of Indian firms expect their need for Forward Deployed Engineers to grow by 2030, yet only 1% of engineers currently work in explicit FDE roles. This AI skills gap threatens to slow India's position in the global AI economy despite its massive engineering workforce.

What Forward Deployed Engineers Do and Why Enterprises Want Them

Forward Deployed Engineers work directly with clients to understand business problems, build technology solutions, and deploy them until they run reliably in production. According to India's FDE Opportunity Report by Scaler and CyberMedia Research, these professionals bridge the gap between AI innovation and real-world business outcomes. The study surveyed 1,000 software engineers and 200 enterprise decision-makers across eight metros and select Tier II cities.

Enterprises are shifting their hiring priorities dramatically. While 80% say generative AI skills are important for FDEs, only 7% report finding such talent in the market1

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. The demand for FDEs is urgent, with 60% of enterprises planning to hire FDE or FDE-like talent within the next 12 months. Among multinational companies, this figure jumps to 77%1

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The Skills Enterprises Cannot Find

The capabilities enterprises value most are precisely where engineers fall short. Production deployment tops the list, rated important by 77% of enterprises, but available among only 19% of candidates1

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. Customer engagement shows a similar disconnect, with 61% of enterprises prioritizing it but only 25% finding candidates with these customer-facing skills1

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Coding skills, once the primary differentiator, are now abundant. Some 78% of enterprises say software engineers with coding abilities are readily available1

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. This shift has changed how companies evaluate candidates. Now 51% of enterprises would rather give FDE candidates a real deployment or troubleshooting problem to solve, while only 24% would prioritize coding tests1

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An enterprise technology decision-maker at a global capability centre explained: "What will matter most is the ability to take an AI solution from a proof of concept to a reliable production implementation while working closely with the customer"1

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Why Engineers Struggle to Transition

Engineers recognize their limitations. When asked what prevents them from moving into FDE roles, 37% cited lack of experience working with customers, and 32% said their AI and machine learning skills were not strong enough1

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. The awareness gap compounds the problem: nine in ten engineers are unaware of a structured pathway to upskill for FDE roles, even though 58% express interest in transitioning into these positions2

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Prabhu Ram, Vice President at CyberMedia Research, noted: "As AI moves from experimentation to enterprise deployment, the ability to translate technology into measurable business outcomes is becoming increasingly critical"2

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. The report finds that 52% of engineers cite unclear career paths and poorly defined FDE roles as barriers2

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Compensation Reflects Talent Scarcity

The shortage of AI deployment skills is driving up pay expectations. Both engineers and enterprise decision-makers most commonly expect FDE roles to pay 21% to 30% more than conventional engineering roles1

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. Among engineers already working as FDEs, 80% report annual incomes between INR 40 lakh and INR 1 crore, positioning them among the highest-paid tech talent in India2

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An enterprise hiring decision-maker at a global AI service provider stated: "We would consider paying more for someone who can handle the technical work and also work with customers to get solutions running in production. That combination is harder to find than coding skills alone"1

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. This earning potential signals the value enterprises place on bridging the gap between AI technology and business implementation.

How Companies Plan to Build FDE Capabilities

Enterprises are taking matters into their own hands. The report shows 56% already have engineers doing FDE-like work under other job titles1

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. Rather than hiring externally, 47% plan to build this capability by upskilling their existing software engineers1

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. Some 98% of enterprises believe FDE will move beyond being a niche role2

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Timing mismatches complicate hiring strategies. Interest in FDE roles peaks among engineers with six to eight years of experience, while employers mostly prefer candidates with three to five years1

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. Freshers face the toughest odds, with only 8% of enterprises open to hiring engineers with less than three years of experience1

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Amar Srivastava, CEO at Scaler, emphasized the opportunity: "Forward Deployed Engineering is shaping up to be one of the most defining engineering careers of this decade. As companies worldwide race to turn AI into business outcomes, engineers who can bridge the gap between AI technology and its real-world application will be central to making this shift happen"2

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. The findings suggest India has a chance to lead the global AI economy by developing specialized engineering pathways that address gaps in applied AI, production deployment, and customer-facing problem-solving.