Principal Forward Deployment Engineer
Location
TS, IN
Experience
1–2 years
Required Skills
About the Role
**We're looking for a Principal Forward Deployment Engineer
This role is Office Based, Hyderabad Office**Principal Forward Deployment Engineer - India This role is Office/Field Based, Hyderabad Office
We are seeking an accomplished Principal Forward Deployed Engineer to serve as the critical bridge between Cornerstone's product engineering teams and our most strategic enterprise customers. As a principal-level FDE, you will own end-to-end technical engagements, drive successful deployments of AI-powered Workforce Agility products, and translate complex customer needs into product innovations.
In this role you will…
You've got what it takes if you have…
.LI-Onsite
Our Culture: Spark Greatness. Shatter Boundaries. Share Success. Are you ready? Because here, right now – is where the future of work is happening. Where curious disruptors and change innovators like you are helping communities and customers enable everyone – anywhere – to learn, grow and advance. To be better tomorrow than they are today.
Who We Are:
Cornerstone powers the potential of organizations and their people to thrive in a changing world. Cornerstone Galaxy, the complete AI-powered workforce agility platform, meets organizations where they are. With Galaxy, organizations can identify skills gaps and development opportunities, retain and engage top talent, and provide multimodal learning experiences to meet the diverse needs of the modern workforce. More than 7,000 organizations and 100 million. users in 180. countries and in nearly 50 languages use Cornerstone Galaxy to build high-performing, future-ready organizations and people today.
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Ideal Candidate
Someone who has shipped 2+ production GenAI/LLM integrations at enterprise scale and thrives translating messy customer problems into architectural decisions.
Estimated Salary Range(low confidence)
₹30 L – ₹55 L per year
Likely Interview Questions
- 1.Walk us through a GenAI or Agentic system you deployed in production—what was the customer problem, what trade-offs did you navigate, and how did you measure adoption?
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