Resource Augmentation for GCCs·GCC '26

We build AI.

So we know AI talent.

★ The Method

Viamagus Select helps enterprises and startups build, scale, and operate their India presence — through managed talent, BOT engagements, and full chapter setup.

10+
Profiles per role
48H
Response time
3
Stages · Written verdict
4
Industries
★ How we work with you

Three ways
to engage.

Managed Augmentation for bandwidth. India BOT for building a team. India Chapter Setup for landing in India from zero. Scale the commitment to fit your stage.

01 — Primary
Managed Augmentation

You own the outcomes.
We run the engine.

Resource Augmentation. Fully managed.

We don't just place talent and disappear. We onboard, manage performance, handle engagement, and ensure delivery — across the full lifecycle. Your team scales without the operational burden.

AI / GenAI Engineers10+ Ready
Data Scientists10+ Ready
MLOps Engineers10+ Ready
★ Active engagements
BFSI · Life Sciences · Manufacturing · Global IT
Submit a Requirement
02
India BOT

Your India team,
built to your specs.

Build. Operate. Transfer.

We set up your India team end-to-end — hiring, workspace, legal, payroll, tools. Run for 12–24 months. Then transfer to you, on your schedule.

Build
0–6 mo
Operate
6–24 mo
Transfer
24+ mo
★ Track record
2 US startups · 2+ years live
Discuss a BOT
03
India Chapter Setup

Your India presence,
from zero.

For startups landing in India.

Entity, compliance, first 10 hires, office setup, tech stack, and early culture. You focus on product. We build the chapter.

Entity
& Compliance
First 10
Hires
Office
& Tech
Culture
& Onboarding
★ Proven model
Working with 2 US startups
Plan Your Launch
★ Trusted by enterprise teams

We staff teams at
companies you'd recognise.

Active Resource Augmentation engagements across BFSI, Life Sciences, Manufacturing, and Global IT Services. Client names available under NDA.

Industrial Manufacturing
US HVAC & air movement leader
North America
Fintech — Lending
US inventory financing platform
North America
Global IT Services
Top-tier Indian IT services firm
Global
Life Sciences
US revenue management leader
North America
★ The difference

Recruiters send CVs.
We send verdicts.

Most recruiters don't know what a GCC actually needs. We do — because we build AI for enterprise clients every day.

Generic recruiter
Matches on job title and years of experience
Sends 20 CVs — you do the filtering
Can't tell LLM from LMS
2–4 week turnaround minimum
Disappears after placement
★ Viamagus Select
Evaluates actual skill depth for your domain
3–5 shortlisted profiles with our written assessment
We build AI — we know what good looks like
48 hour response, pool ready before you ask
Stay involved through onboarding
★ Ready talent pool

10+ profiles.
Every role. Right now.

Pre-vetted, available, mapped to BFSI and Life Sciences GCCs. Not a database — an active bench.

10+
Data Scientists
3–15 yrs · BFSI · Life Sciences · Risk modelling · Clinical NLP
Ready
10+
ML Engineers
LLM · NLP · PyTorch · GenAI · RAG pipelines
Ready
10+
MLOps Engineers
Cloud · Kubernetes · Model deployment · Monitoring
Active
10+
GenAI Specialists
Agentic AI · LangGraph · LangChain · RAG · Fine-tuning
Ready
Pool is updated weekly. Submit a requirement and we match from this bench — not from a cold search.
★ Our Process

How we find the
right talent for you.

Industry context drives every decision — not just skills and years of experience.

01
🔍

We study your GCC

Before you brief us, we already know your sector. We track hiring signals, job postings, and growth patterns across BFSI, Life Sciences, and Pharma GCCs. When you come to us, we're not starting from scratch.

Our key differentiator
02
🎯

We map the role to your industry context

A Data Scientist for a BFSI GCC needs different skills than one for Life Sciences. We evaluate against your specific domain — risk modelling, clinical NLP, fraud detection, drug discovery — not just job title and years of experience.

03
⚙️

We vet as practitioners, not recruiters

Viamagus builds AI products for enterprise clients. Our team evaluates candidates the same way we'd hire for our own projects — technical depth, problem-solving approach, and how they'd perform in a GCC environment.

04
📋

We present a shortlist, not a longlist

You get 3–5 pre-evaluated candidates with a dossier — skills, experience, domain fit, and our assessment. No sifting through 50 CVs. Typical turnaround: 48 hours.

05
🤝

We stay involved

Once placed, we stay in the loop. If something isn't working, we fix it fast. The relationship doesn't end at placement.

Viamagus builds AI products for enterprise clients. We evaluate talent the same way we hire for our own projects — which is why our vetting is different from a generalist staffing firm.

Free resource · No signup
Updated March 2026

Not sure which AI role
you actually need?

We built a free interactive guide for GCC talent teams — covering 15 AI/ML roles with salary benchmarks, skill breakdowns, and the hiring mistakes we see most often.

🤖15 AI/ML roles explained
💰2026 salary benchmarks
⏱️Time-to-hire data
Common hiring mistakes
★ From the field

Recent placements

Company names shared confidentially after initial interest
4 daysBrief to first interview

Senior Data Scientist placed at a BFSI GCC in Bengaluru — within one sprint

BFSI
FractionalAI leadership engaged

Fractional Enterprise AI leader supporting a Life Sciences GCC build their AI roadmap

Life Sciences
3 placedIn a single sprint

ML Engineers placed for a US-headquartered GCC — all 3 cleared technical rounds

Technology
★ Get Started

Ready to see your
talent pool?

Tell us which roles you are hiring for. We'll show you pre-vetted candidates within 48 hours — no commitment, no cost for the initial pool.

Schedule a Discovery Call
or reach us on WhatsApp