SheWork Delivers 8 Specialised AI Engineers for a Technology Solutions Leader
SheWork Delivers 8 Specialised AI Engineers for a Technology Solutions Leader
Technology Solutions
Industry: Information Technology & Digital Transformation
Company size: 1000+ Employees
18
Engineers Hired
40
Average Hiring Days
Technology Solutions
Industry: Information Technology & Digital Transformation
Company size: 1000+ Employees
8
AI Engineeras
Hired
30
Average Hiring Days
Objectives
To deploy 8 highly skilled AI Engineers for a technology solutions company, enabling them to accelerate their artificial intelligence capabilities, deliver enterprise-grade AI solutions, and strengthen their growing digital transformation practice.
Background & Business Need
A leading global technology solutions provider with a strong footprint across enterprise IT, ERP, and digital transformation was rapidly expanding its AI and machine learning practice to meet surging client demand.
With AI becoming central to their service offerings, spanning intelligent automation, predictive analytics, and enterprise AI integration, the organisation needed specialised talent that was not only technically strong but also deployment-ready from day one
The challenge was clear:
-
- AI engineering talent was scarce and highly contested in the market.
- Internal hiring cycles were too slow to match the pace of project demands.
- Generic job boards were delivering volume, but not quality.
SheWork was engaged to bridge this critical talent gap, fast.
Background & Business Need
One of India’s largest nationalized banks, working with a top IT services provider, was using a database system that was stable but very costly. The high license fees and limited flexibility made it hard to innovate.
As customers started expecting faster and smoother digital banking, the bank decided to move to PostgreSQL. But there was a big gap as they didn’t have enough skilled DBAs to handle such a large migration.
They needed more than just people. They needed a partner who could deliver results from Day One. That is why they chose SheWork, trusted for its ability to quickly source niche talent and ensure smooth project execution.
Challenges
Extremely niche skillset
AI Engineers with hands-on experience in production-grade ML pipelines, LLMs, and enterprise AI frameworks were in short supply.
Long hiring cycles
Traditional recruitment takes 3–4 months per role, stalling project timelines.
High candidate dropout
Competitive market conditions meant top AI talent was receiving multiple offers simultaneously
Domain fit requirement
Candidates needed to align not just technically but also with enterprise client environments and delivery expectations
Limited passive talent access
The best AI engineers were not actively job-seeking and were invisible to conventional hiring methods
Solutions by SheWork
SheWork deployed a precision talent strategy built specifically for high-demand AI roles:
Deep Talent Mapping
SheWork went beyond active job seekers, tapping into its pre-vetted network of AI professionals with hands-on experience in Python, TensorFlow, PyTorch, NLP, LLMs, MLOps, and cloud-native AI platforms
Rigorous Pre-Screening
Every candidate went through a structured technical evaluation, assessing not just theoretical knowledge but practical, project-based AI experience, before reaching the client’s interview stage.
Balanced Deployment
A carefully curated mix of senior and mid-level AI Engineers was deployed, ensuring both technical depth and delivery agility across the organisation’s AI projects.
Speed Without Compromise
SheWork compressed the hiring timeline dramatically, delivering deployment-ready profiles within weeks, not months, without sacrificing quality or fit.
Results Delivered by SheWork
0
AI Engineers successfully
onboarded
onboarded
0
%
faster hiring cycle vs.
traditional recruitment
traditional recruitment
0
%
improvement in offer-to-
joining conversion
joining conversion
Client Impact
By partnering with SheWork, the organisation was able to move from talent shortage to full AI team deployment, rapidly and reliably. The 8 AI Engineers onboarded are now actively contributing to enterprise AI initiatives, strengthening the company’s position as a serious player in the global AI transformation space.
“SheWork didn’t just fill positions. They understood what we needed and delivered talent that was ready to contribute from day one.” — Hiring Manager, Global Technology Solutions Leader
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