As frontier artificial intelligence companies expand beyond selling models and APIs into enterprise implementation work traditionally handled by IT services firms, demand for a niche but fast-growing role — forward deployed engineers (FDEs) — is rising sharply, staffing executives said.
The hiring momentum reflects a broader shift in the industry, with leading AI labs increasingly moving closer to enterprise transformation and deployment work instead of operating solely as infrastructure or model providers.
Yet, the talent pool remains small, with only 500-800 such openings worldwide, staffing firm TeamLease has said.
Over the past few weeks, companies such as OpenAI, Anthropic and Google have expanded enterprise-focused initiatives and partnerships alongside private equity giants to accelerate AI deployments in large organisations.
Anthropic unveiled a $1.5-billion enterprise AI venture backed by investors including Blackstone and Goldman Sachs, while reports said OpenAI was raising more than $4 billion for it’s a similar initiative.
The moves signal how frontier AI firms are entering implementation-led work, which was once associated with IT services vendors and consultants.
Rise of the forward deployed engineer
At the centre of this shift is the rise of the forward deployed engineers, a role that combines software engineering, AI integration, workflow orchestration, and customer-facing deployment work.
Unlike traditional software engineers who primarily build products remotely, FDEs work with enterprise customers to scope systems, integrate AI into workflows, oversee deployments and drive adoption inside organisations.
Anthropic, for instance, describes FDEs as professionals who embed directly with customers to ship production AI applications that solve real business problems.
According to OpenAI, FDEs as those who own complex end-to-end deployments of frontier models in production alongside strategic customers, including system design, production rollout, workflow impact measurement and customer adoption.
A report by tech news platform The Information suggests that Google is planning to hire hundreds of such FDEs.
The approach resembles the deployment model popularised by companies like Palantir, where engineers embed themselves in enterprise operations.
Neeti Sharma, CEO of TeamLease Digital, said enterprises are increasingly moving from AI experimentation to production-scale operationalisation.
“Enterprise-scale operationalisation of AI agents and workflows requires engineers who embed with customers, understand business problems, and deploy frontier models,” Sharma said.
India has around 230 openings for FDEs, TeamLease said.
A fragmented but fast-growing market
Recruiters say the category remains difficult to track because companies are hiring under multiple adjacent titles such as AI solutions architects, agentic AI engineers, autonomous systems engineers, and AI platform specialists.
“There is no standard global benchmark yet specifically for the title ‘Forward Deployed Engineer’,” said Kapil Joshi, CEO-IT Staffing at Quess Corp.
Still, broader deployment-focused AI hiring is growing rapidly.
According to staffing firm Quess, India has more than 28,000 active job postings linked to agentic and autonomous AI roles. Demand for agentic AI development roles has risen 287 percent from the previous year, while hiring for multi-agent systems talent has increased 245 percent over the same period.
Much of the hiring demand is coming from global capability centres (GCCs), enterprise software firms, AI-native startups, consulting companies and IT services providers building deployment-focused AI teams.
Quess estimates GCCs account for about 54 percent of India’s agentic AI hiring, followed by IT services firms and consulting companies.
A new pressure point for IT services firms
For Indian IT services firms, the shift raises questions about what happens to commoditised layers of outsourcing work if frontier AI companies begin participating directly in enterprise transformation and implementation.
Recruiters said hiring intensity for such roles is particularly high in Bengaluru, Hyderabad, Pune, Mumbai and NCR, with talent shortages making specialised AI deployment hiring increasingly difficult.
The scarcity is also pushing up compensation.
TeamLease said entry-level FDE roles pay between Rs 9 lakh and Rs 12.8 lakh annually, while experienced professionals can earn between Rs 15 lakh and Rs 25 lakh.
Quess said specialised AI engineering roles are commanding salary premiums of 30-40 percent over traditional software engineering jobs.
Companies are increasingly prioritising engineers familiar with AI agent frameworks such as LangGraph, AutoGen, and CrewAI, alongside expertise in APIs, cloud infrastructure, workflow orchestration, and enterprise AI integration.
Alexy Thomas, technology consulting partner at EY India, said enterprises are now treating AI as a business transformation agenda rather than a technology experiment.
“What we’re seeing in India is a clear shift from AI being a lab exercise to a business transformation agenda,” Thomas said.