Scaler Launches Forward Deployed Engineer Programme, Commits ₹25 Crore to Train 10,000 Enterprise AI Engineers

Scaler has launched a Forward Deployed Engineer (FDE) Specialization and committed ₹25 crore towards building a talent pipeline for enterprise AI deployment, as companies increasingly look for engineers who can integrate AI systems into real-world business environments.

The company plans to train 10,000 FDEs over the next year, investing in curriculum development, AI infrastructure, industry partnerships and learner support.

The move comes amid a sharp global rise in demand for the role. According to Scaler, demand for FDEs has grown 729% year-on-year, with companies including OpenAI, Google Cloud, Anthropic, Palantir, Databricks, McKinsey & Company and BCG expanding teams around the function.

The company cited enterprise AI deployment as an emerging bottleneck as organisations move beyond experimentation. It also pointed to MIT NANDA's The GenAI Divide: State of AI in Business 2025, which found that nearly 95% of enterprise generative AI pilots fail to deliver measurable business impact.

The shift is particularly relevant to India, where GCCs, IT services companies and global technology firms are increasingly deploying AI across enterprise workflows.

The FDE role sits between traditional software engineering and enterprise consulting. Unlike conventional software engineers, FDEs are expected not only to build production systems but also to deploy them within a customer's existing technology environment.

This means working with customer-specific data, legacy systems, security constraints and business processes while also managing stakeholders and translating business problems into technical solutions.

Amar Srivastava, CEO, Online Business and Group CPO, Scaler, said, “At Scaler, we see this as one of the defining shifts shaping the future of software engineering. Through this specialisation, we want to equip engineers with not only the technical expertise to build and deploy AI, but also the ability to collaborate with stakeholders, understand business needs and turn AI into real business outcomes.”

The company said the role is gaining importance as enterprises face a gap between having access to AI models and successfully integrating them into production environments. Scaler’s ₹25 crore investment will support the development of its FDE curriculum, AI infrastructure, industry partnerships and learner support systems.

The company said the programme is designed to address a gap between AI familiarity and the ability to build and deploy production-grade AI systems.

The India AI Workforce Report 2026 found that AI adoption is expanding beyond software engineering into consulting, leadership and business functions.

Meanwhile, Scaler’s Confidence-Capability Gap Report, conducted with CyberMedia Research (CMR), found that 89% of engineers believe they are AI-ready, but only 19% are actively building AI systems.

Scaler said this gap is becoming increasingly important as organisations seek engineers who understand both AI technology and enterprise implementation.

The company also expects FDE roles to command compensation premiums of up to two to three times traditional software engineering roles, although it did not provide specific salary benchmarks. The 7.5-month specialisation will be offered as part of Scaler's Modern Software Engineering programme.

The curriculum combines AI and LLM engineering with backend and full-stack development, cloud technologies, enterprise integration, system design and security.

The programme will also use enterprise simulations and live business scenarios designed to replicate deployment challenges faced by engineers working with real customers.

Scaler said learners will receive mentorship from FDE practitioners and gain exposure to customer-facing engineering requirements beyond technical implementation.

One of the defining characteristics of the FDE role is that technical execution is combined with business problem-solving.

A traditional software engineer typically builds products and features within their organisation's technology environment. An FDE, by contrast, may have to adapt those systems to a customer's infrastructure, data, security requirements and operational processes.

The role therefore, requires skills such as stakeholder management, cross-functional collaboration, structured problem-solving and communication, alongside software engineering and AI expertise.

This could make FDEs particularly relevant to India’s expanding GCC ecosystem, where engineering teams are increasingly taking ownership of AI deployment, product development and business transformation rather than operating purely as offshore delivery centres.

Scaler’s programme is positioning FDEs as a new category of enterprise AI engineers—professionals who can bridge the gap between an AI model and the business environment in which that model ultimately has to work.