We are HCLTech, one of the fastest-growing large tech companies in the world and home to 219,000+ people across 54 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud.
The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be.
Role- Gen AI Architect
Advisory & Consulting:
- Act as the AI advisory to key customers
- Provide best practices, pros & cons comparison between various market available AI products for enabling platform selection for Customers
- Provide approach to do value stream mapping and find out use cases for AI implementation
AI Solution Architecture:
- Interact with customer and internal stake holders to understand the use case for AI enablement.
- Create a wire frame using vibe coding to get the use case validated.
- Make a presentation to the customer about the solution with pros and cons and effort and timelines. Get approvals for MVP.
- Create a MVP solution quickly in customer environment or HCLTech environment.
- Create the full Solution architecture on Gen AI with the team once MVP is approved. This includes understanding of Data ingestion and Data quality as well. They can then have the delivery team deliver it.
- Has built AI Agents in his experience and knows the full lifecycle of building an AI Agent.
- Has clear understanding of Agentic AI architecture.
AI thought leadership:
- Create Industry trends and POV presentations to Customer leaders.
- Attend industry forums for latest developments.
- Publish white papers and articles in Industry forums and Linked in.
Preferred Qualifications:
- 10 + years experience in relevant areas:.
- 6+ years of experience into Full Stack development : React.js, PostGre/MySQL, Python
- 3+ years of experience into Cloud Native Development & Deployment : GCP and /or Azure - should have deployed solutions on cloud ecosystems including Kubernetes and Dockerization.
- Proven success supporting enterprise AI deals.
- Deep knowledge of AI portfolio.
- Strong understanding of integration patterns, data strategy, security, and scalable architecture.
- Experience across multiple industries preferred.
- 3+ years of experience into 3 AI ecosystems.
- Well networked within the IT services industry.
