AI Talent — Your GCC in India
The AI team
in your GCC.
In India.
India has the world’s largest pool of AI and engineering talent outside the United States. Your GCC gives you permanent, direct access to it — not through a vendor, not through a contract, but as your own institution, staffed by your own team, building your own capability.
4.2M+
AI and tech professionals in India
60–70%
Cost saving vs equivalent Western hire
9
AI roles your GCC can be built around
100%
IP ownership — your team, your code
21–30
Days to first sprint for an AI Pod
Why India for Your AI Team
Four structural advantages
that compound over time.
India is not just cheaper. The talent is deeper, the ecosystem is more developed, and the institutional quality of a well-structured GCC means your team compounds in value every quarter — unlike a vendor engagement, which resets every time a contract ends.
01
Talent Depth at Every Level
From IIT-educated research scientists to senior production engineers with 10 years of experience — India’s AI talent pool spans every seniority level and every AI subdomain. The talent you need exists, in meaningful numbers, across 20+ cities.
4.2M+ AI professionals
02
60–70% Cost Advantage
A senior LLM engineer in Pune costs $35K–$65K per year. The equivalent in San Francisco costs $200K–$280K. The saving is not marginal — it is structural. A 10-person AI team in India costs the same as 1.5 engineers in the US.
3× more team for the same budget
03
Compounding Institutional Value
A vendor team resets when the contract ends. Your GCC team compounds. Every sprint adds to the institutional knowledge. Every quarter deepens the capability. By month 18, the gap between your owned GCC and a vendor equivalent is permanent.
IP yours from day one
AI Roles in Your GCC
Nine AI roles.
All available in India.
Every role below is available in India at 60–70% of the Western equivalent cost — as a permanent employee of your GCC, building IP that belongs to you. Click any role to see salary data, team configurations, and city guides.
LLM & Generative AI
🧠
LLM Engineers
Fine-tuning, RAG systems, agentic AI, evaluation frameworks, and inference optimisation.
₹20–55 LPA · $35K–$65K/yr
ML Infrastructure
⚙️
MLOps Engineers
ML pipelines, model monitoring, feature stores, and production AI infrastructure at scale.
₹12–35 LPA · $26K–$41K/yr
Data & Analytics
📊
Data Scientists
Predictive modelling, recommendation systems, A/B testing, and analytics engineering.
₹10–35 LPA · $24K–$41K/yr
Agentic AI
🤖
AI Agent Developers
Multi-agent orchestration, tool-use systems, agentic workflows, and autonomous AI execution.
₹15–50 LPA · $33K–$59K/yr
Prompt & Evaluation
💬
Prompt Engineers
Production prompt architecture, evaluation frameworks, AI safety, and output reliability systems.
₹8–30 LPA · $21K–$35K/yr
Computer Vision
👁️
Computer Vision Engineers
Object detection, medical imaging, document processing, and video analytics systems.
₹12–40 LPA · $26K–$47K/yr
AI Automation
🔄
AI Automation Engineers
Intelligent workflow automation, RPA+AI, document processing, and business process AI.
₹10–30 LPA · $21K–$35K/yr
Deep Learning
🧮
Neural Network Engineers
Custom architectures, distributed training, model optimisation, and knowledge distillation.
₹15–45 LPA · $33K–$53K/yr
Specialist
🔥
PyTorch Developers
Production PyTorch development, model training, custom ops, and deployment optimisation.
₹12–40 LPA · $24K–$47K/yr
Frontier Research
🔬
AI Research Scientists
Novel architectures, foundational research, proprietary datasets, and frontier AI capability your competitors cannot access.
₹20–80 LPA · $53K–$94K/yr
“The organisations that will define the next decade are not the ones who implemented the best available models. They are the ones who built capability those models cannot replicate.”
Miracle Global — AI Research Lab Architecture
Salary Intelligence
What prompt engineers cost
in your GCC vs. the West.
Real 2026 salary benchmarks for prompt engineers in India. Through a Miracle Global GCC, these engineers are your employees, on your payroll, building your IP.
Role
India GCC (Senior)
US Base Salary
UK Base Salary
GCC Saving
LLM Engineers
$35K–$65K/yr
$170K–$260K/yr
£110K–£160K/yr
~65%
MLOps Engineers
$26K–$41K/yr
$150K–$220K/yr
£90K–£140K/yr
~62%
Data Scientists
$24K–$41K/yr
$130K–$200K/yr
£80K–£130K/yr
~62%
AI Agent Developers
$33K–$59K/yr
$180K–$280K/yr
£120K–£170K/yr
~65%
Prompt Engineers
$21K–$35K/yr
$120K–$180K/yr
£70K–£120K/yr
~60%
Computer Vision Engineers
$26K–$47K/yr
$150K–$230K/yr
£100K–£150K/yr
~63%
AI Automation Engineers
$21K–$35K/yr
$130K–$200K/yr
£80K–£130K/yr
~60%
Neural Network Engineers
$33K–$53K/yr
$160K–$260K/yr
£100K–£160K/yr
~63%
PyTorch Developers
$24K–$47K/yr
$150K–$240K/yr
£95K–£155K/yr
~63%
AI Research Scientists
$53K–$94K/yr
$220K–$400K/yr
£130K–£200K/yr
~68%
India GCC cost = salary + workspace + HR + compliance + Miracle Global management fee. All-in. No hidden costs.
Own.
Every engineer in your GCC is your employee. Every model they train is your IP. Every system they build compounds permanently in your institution. This is not a vendor relationship with a cost advantage. It is your organisation’s capability, built in India.
Miracle Global — Capability Architecture
Where to Build Your Team
The cities where
your AI team lives.
India’s AI talent is distributed across 20+ cities. Miracle Global has operational presence in all of them. We recommend the city that optimises for your specific domain and team size.
Tier 1
Bangalore
Deepest AI ecosystem. LLM, MLOps, Research.
Tier 1
Hyderabad
Data Science, Enterprise AI, CV.
Tier 2 ★
Pune
Recommended for most GCCs. 35% lower cost.
Tier 2
Chandigarh
AI engineering, strong NIT pipeline.
Tier 2
Kochi
HealthTech AI, Data Science.
Tier 2
Indore
AI Automation. Lowest cost in network.
Prompt Engineers — Your GCC