GCCs in India are prioritizing 10 skill areas in 2026: AI and GenAI, data science, DevOps, systems and platform engineering, full-stack development, cloud, cybersecurity, Python, finance, and testing/QA.
AI is the fastest-growing priority.
Nearly half of GCCs say more than a quarter of their open roles now require AI capability, while one in four say most of their roles are already AI-adjacent.
But the biggest hiring challenge isn’t compensation. It’s finding the right quality of talent, with 24% of GCCs identifying talent quality mismatch as their #1 hiring constraint.
These insights come from Taggd’s GCC Report 2026, based on inputs from 100+ CHROs and talent acquisition leaders across India’s GCC ecosystem.
Below, we break down the GCC skills in demand in 2026, the roles they map to, indicative salary bands, and what HR leaders should consider when hiring for them.
The top GCC skills in demand in 2026 span AI, data, engineering, cloud, cybersecurity, finance, and technology operations.
| Rank | Skill | Roles to Hire for | Entry Salary (1-3 yrs) |
| 1 | AI and GenAI | GenAI Engineer, Prompt Engineer, MLOps Engineer | ₹12–25 LPA |
| 2 | Data science | Data Scientist, ML Engineer, Data Analyst | ₹10–18 LPA |
| 3 | DevOps | DevOps Engineer, SRE | ₹12–20 LPA |
| 4 | Systems & platform engineering | Platform Engineer, Infra Engineer | ₹15–24 LPA |
| 5 | Full stack development | Full Stack Developer (MERN/ Java) | ₹14–22 LPA |
| 6 | Cloud (AWS/Azure/GCP) | Cloud Engineer, Cloud Security Engineer | ₹10–16 LPA |
| 7 | Cybersecurity | Security Analyst, AppSec Engineer | ₹15–24 LPA |
| 8 | Python | Cross-functional: AI, data, automation roles | Varies by role |
| 9 | Finance Controllers | FP&A Analyst, Finance, Controller | ₹10–15 LPA |
| 10 | Testing/ QA | QA Engineer, Test Automation Engineer | ₹10–20 LPA |
Salary bands are indicative and based on GCC Talent Lab Report 2026. The report provides broader salary ranges across experience levels.
The biggest GCC hiring challenge isn’t salary. It’s the talent quality.
Before you post that req, consider this: finding the right talent, not paying more, is becoming the bigger challenge for GCC hiring teams.
Across AI/ML, cloud, platform and product engineering, 24% of GCCs identify talent quality mismatch as their #1 hiring constraint.
For HR and TA leaders, this changes the hiring equation. The question is no longer simply “How quickly can we find candidates?”
It is: “How quickly can we identify candidates with the right depth of skills?”
That makes skills-based screening, talent mapping and stronger technical assessments increasingly important.
AI & GenAI
AI and Gen AI are one of the top GCC skills in demand. It has moved from being a specialised capability to becoming a core requirement across GCC roles.
Nearly half of GCCs report that more than 25% of their open roles now require AI capability.
And AI is no longer limited to traditional machine-learning teams. Product, analytics, operations, and even finance roles are increasingly becoming AI-adjacent.
Roles GCCs are hiring for
- GenAI Engineer
- AI/ML Engineer
- Prompt Engineer
- MLOps Engineer
- AI Governance Specialist
- Applied Scientist
Salary range
Entry-level AI and GenAI roles typically command around ₹12–25 LPA, with senior specialist roles reaching significantly higher levels.
AI/ML talent also commands a premium over conventional technology roles, reflecting the gap between demand and production-ready talent.
What this means for HR leaders
Don’t treat “AI experience” as a single skill.
An AI Engineer working on LLM applications, an MLOps Engineer building production pipelines and an AI Governance Specialist require very different capabilities.
Define the exact AI capability before opening the requisition.
Data Science
Data science is another skill GCCs are hiring for and is increasingly converging with AI.
GCCs are moving beyond traditional reporting and analytics towards roles that combine data engineering, machine learning, experimentation and business decision-making.
Roles GCCs are hiring for
- Data Scientist
- ML Engineer
- Data Analyst
- Applied Scientist
- Data Engineer
Entry-level salaries typically range from ₹10–18 LPA, depending on the role and technical depth.
The challenge is particularly acute for professionals who combine strong data fundamentals with modern data-stack, ML or AI capabilities.
What this means for HR leaders
A job description asking for “data science” can attract a very broad talent pool.
Be specific about whether you need: analytics + SQL, statistical modelling, ML, experimentation or production data engineering.
The more precise the skill requirement, the better the quality of the shortlist.
DevOps
As GCCs take greater ownership of technology platforms, DevOps and site reliability capabilities and skills remain critical.
The focus is shifting from simply managing infrastructure to automation, reliability, scalability and continuous delivery.
Roles GCCs are hiring for
- DevOps Engineer
- Site Reliability Engineer
- Release Engineer
- DevSecOps Engineer
- Infrastructure Automation Engineer
Entry-level DevOps roles typically fall in the ₹12–20 LPA range, while specialized SRE roles can command higher compensation.
What this means for HR leaders
Look beyond tool-based keywords.
A candidate listing AWS, Kubernetes and Docker may not necessarily have experience handling production-scale reliability, automation or distributed systems.
Technical depth matters more than the number of tools listed on a CV.
Systems & Platform Engineering
GCCs are building increasingly complex technology environments, creating strong demand for platform and infrastructure talent.
The talent challenge is especially pronounced for professionals with experience in Kubernetes, multi-cloud environments, distributed systems and platform engineering.
Roles GCCs are hiring for
- Platform Engineer
- Infrastructure Engineer
- Cloud Architect
- Systems Engineer
- Kubernetes Engineer
Indicative entry salaries are around ₹15–24 LPA, depending on specialisation.
What this means for HR leaders
Platform engineering is not simply the next name for infrastructure engineering.
When hiring, define whether the role requires:
- Platform development
- Infrastructure automation
- Kubernetes
- Cloud architecture
- Developer experience
- Distributed systems
This helps separate general infrastructure talent from specialized platform talent.
Full-Stack Development
Full-stack development remains one of the largest GCC hiring skills.
But the challenge isn’t necessarily candidate availability. It is candidate quality.
GCCs increasingly need engineers who can work across modern frontend and backend stacks while also understanding APIs, databases, cloud environments and scalable architectures.
Roles GCCs are hiring for
- Full-Stack Developer
- Backend Engineer
- Software Engineer
- Staff Engineer
- Product Engineer
Entry-level salaries typically range from ₹14–22 LPA for relevant product engineering talent.
What this means for HR leaders
Avoid treating every full-stack developer as interchangeable.
For specialised roles, assess:
coding ability + system design + backend depth + product thinking.
This is where skills-based assessments can help distinguish genuine engineering capability from keyword-heavy profiles.
Cloud
Cloud has become a foundational capability across GCC technology teams.
AWS, Azure and GCP skills increasingly sit underneath AI, data, cybersecurity, application development and infrastructure roles.
Roles GCCs are hiring for
- Cloud Engineer
- Cloud Architect
- Cloud Security Engineer
- Infrastructure Engineer
- Cloud Operations Engineer
Indicative entry salaries range from ₹10–16 LPA, with specialized cloud and security roles commanding more.
What this means for HR leaders
Cloud should rarely be treated as an isolated requirement.
Ask: Cloud for what?
A cloud engineer supporting infrastructure, a cloud security specialist and a cloud architect require different hiring profiles.
Cybersecurity
Cybersecurity continues to be one of the tightest talent markets for GCCs.
Demand is growing particularly for specialized capabilities across cloud security, application security, identity and zero-trust environments.
Roles GCCs are hiring for
- Security Analyst
- Application Security Engineer
- Cloud Security Engineer
- Security Architect
- Zero-Trust Architect
Specialized cybersecurity roles can command ₹15–24 LPA or more at the early-career end, depending on the capability.
What this means for HR leaders
Cybersecurity hiring requires more than a generic “security experience” filter.
Separate requirements for: Cloud Security, AppSec, IAM, SOC, threat detection, and security architecture.
Specialization is becoming the differentiator.
Python
Python is slightly different from the other GCC skills on this list.
It is not necessarily a standalone hiring category. Instead, it has become a connective technology skill across multiple GCC functions.
Python is widely used across:
- AI and ML
- Data science
- Automation
- Data engineering
- Testing
- DevOps
What this means for HR leaders
Avoid posting a requisition simply for a “Python Developer” unless that is genuinely the role.
Instead, define the primary capability first: AI Engineer with Python, Data Engineer with Python, or Automation Engineer with Python.
This produces a much more relevant talent pool.
Finance & Controllers
GCC finance teams are also moving beyond transactional work.
As global capability centres take on more strategic responsibilities, demand is increasing for professionals across FP&A, financial controls, taxation, regulatory reporting and business finance.
Roles GCCs are hiring for
- FP&A Analyst
- Finance Controller
- Regulatory Reporting Specialist
- Product Controller
- Financial Planning Specialist
Entry-level salaries typically range from ₹10–15 LPA, with senior finance professionals commanding significantly higher packages.
What this means for HR leaders
Finance hiring is becoming more specialized too.
The right profile may need a combination of: finance expertise + technology exposure + business partnering + regulatory knowledge.
The hiring brief needs to reflect that shift.
Testing & QA
Testing and quality assurance remain an essential GCC skill in demand as GCCs expand their product and engineering responsibilities.
While the overall talent pool is relatively deeper than some specialized technology categories, demand is shifting towards automation and engineering-led quality assurance.
Roles GCCs are hiring for
- QA Engineer
- Test Automation Engineer
- SDET
- Performance Test Engineer
- Quality Engineer
Indicative entry salaries range from ₹10–20 LPA, depending on technical specialization.
What this means for HR leaders
The biggest shift is from manual testing towards automation.
For engineering-heavy GCC environments, prioritise candidates who can work with automation frameworks, APIs, CI/CD pipelines, and modern testing practices.
What do these GCC Skills in Demand mean for Hiring Strategy?
The 2026 GCC hiring landscape points to one clear shift:
GCCs are moving from hiring for headcount to hiring for capability.
The demand is not simply for more engineers, analysts, or technology professionals. It is for people with deeper, specialized and increasingly AI-enabled skills.
For HR and TA leaders, this means rethinking three parts of the hiring process:
1. Move from job titles to skills
Titles such as “AI Engineer,” “Data Scientist” or “Cloud Engineer” can mean very different things across organisations.
Define the actual skills required before beginning the search.
2. Build talent pipelines before demand peaks
Specialised talent is harder to find when a requisition is already open.
Talent mapping and pre-built pipelines can help GCCs identify scarce talent before hiring demand becomes urgent.
3. Use skills-based screening
Credentials and job titles are becoming weaker signals of actual capability.
Technical assessments, structured screening, and role-specific evaluation can help GCCs identify candidates who can perform the job, not just match the job description.
The bigger GCC talent trend for 2026
The biggest GCC talent shift isn’t simply more AI hiring.
It is the movement towards specialised, AI-enabled and business-critical capabilities.
GCCs are increasingly building teams around AI, data, cloud, cybersecurity, platform engineering and product capabilities while expanding the strategic scope of finance and other functions.
This makes talent quality, speed and intelligence increasingly important to GCC workforce strategy.
And as hiring becomes more specialized, the organizations that can identify, assess and engage in the right talent faster will have an advantage.
FAQs
What skills are GCCs hiring for in 2026?
GCCs in India are prioritising AI and GenAI, data science, DevOps, systems and platform engineering, full-stack development, cloud, cybersecurity, Python, finance and testing/QA.
Which skill is most in demand in GCCs in 2026?
AI and GenAI are among the fastest-growing skill areas in GCC hiring, with nearly half of GCCs reporting that more than a quarter of their open roles require AI capability.
Which GCC skills are hardest to hire for?
Specialised AI/ML, cybersecurity, platform engineering, cloud security and advanced data capabilities are among the harder areas to hire for because demand is growing faster than the supply of experienced talent.
Are GCCs hiring more AI professionals in 2026?
Yes. AI is increasingly becoming embedded across GCC functions rather than remaining limited to dedicated AI teams. This is creating demand for AI/ML, GenAI, MLOps, AI governance and other AI-adjacent capabilities.
What is the biggest GCC hiring challenge in 2026?
Talent quality is a major challenge. 24% of GCCs identify talent quality mismatch as their #1 hiring constraint, making skills-based screening and better talent assessment increasingly important.
Want the complete picture?
Download the GCC Talent Lab Report 2026 to explore salary benchmarks across 60+ roles, talent availability, skill clusters by city, hiring sentiment and the workforce trends shaping India’s GCC ecosystem.
