Enhub.ai Forward Deployed Engineer
- Google Cloud (Digital Native Customers) About Enhub.ai Enhub.ai is specialised in Google Cloud Technologies and Artificial Intelligence solutions that streamlines Digital Transformation, significantly reducing ‘Time to Market’. We create unique business value by seamlessly embedding AI into our customers' business models and operations, boosting efficiency, accuracy, and innovation. Enhub.ai is created to be a trusted Google Cloud Partner as Cloud native & Data Problem solvers helping Customers drive the best outcome with AI as Catalyst. Enhub.ai is headquartered in Bangalore, India. We are creating diverse teams in our organisation which can improve the overall productivity, culture and morale of the company.
Join us
About the Role
We are looking for a Forward Deployed Engineer (FDE) who is equally comfortable in a customer meeting and in a code editor. You will sit with customers, understand their business problem, pitch the right Google Cloud solution, and then build a working proof of concept (POC), often within days, to prove it. What will you do Meet and understand customers
• Join discovery calls and workshops with customers, from startups to enterprises, to understand their business goals, data, pain points and constraints.
• Translate vague business problems into a clear technical problem statement and success criteria.
• Ask the right questions about budget, timelines, stakeholders and risks, not only about technology. Pitch Google Cloud solutions
• Recommend and explain the right Google Cloud services for the use case, for example BigQuery, Vertex AI, Gemini, Cloud Run, GKE, Dataflow, Pub/Sub, Looker, Cloud Storage, AlloyDB and Google Workspace.
• Present solution architectures, demos and business-case summaries to technical and non-technical audiences, including founders and CXOs.
• Explain trade-offs honestly,
including cost, security, scalability and build-versus-buy. Build POCs fast
• Design and build working POCs and demos, typically in [1 to 2 weeks], using Python, SQL and Google Cloud services.
• Work with data pipelines, APIs, dashboards and generative AI or ML applications (such as RAG, agents, document AI and analytics copilots).
• Keep POCs clean enough to be extended into production, and document the architecture, assumptions and next steps.
• Use AI coding tools to move faster, while reviewing and owning what you ship. Preferred Qualifications
• 2-3 years of experience in software, data or cloud engineering, solutions engineering, consulting or a similar customer-facing technical role.
• Strong hands-on skills in Python and SQL, and the ability to build an end-to-end working prototype yourself.
• Working knowledge of Google Cloud (or another major cloud such as AWS or Azure, with a willingness to ramp up on GCP quickly), including data and AI services.
• Practical experience with data engineering, analytics or AI/ML, including generative AI, LLM APIs and RAG.
• Excellent communication. You can explain a complex idea simply, run a demo smoothly and handle tough questions calmly.
• Startup and Business Understanding: you know how a startup or small business makes money, what a founder cares about (growth, cost, speed, risk), and how a technical solution links to revenue, savings or efficiency.
• A bias for action: comfortable with ambiguity, short timelines and shifting priorities.
• Willingness to travel to customer locations when needed. Significant Details
*
• The Candidate, after joining Enhub must clear Google Cloud Agentic Architect certification
• Work
Location:
Hybrid in Bangalore Given Your Time & Dedication, We are excited to groom you as a Field CTO Interested Candidates, Please contact us at
[email protected]
📌 Forward Deployed Engineer (Bengaluru)
🏢 Enhub.ai
📍 Bengaluru