Enterprise AI Solution Architect: Pre-sales

About the Role

We are seeking an experienced AI & HPC Pre-Sales Specialist to support enterprise clients in designing and deploying next-generation AI and HPC infrastructures. The ideal candidate will have hands-on expertise in AI factories, GPU clusters, and accelerated computing frameworks, HPC combined with strong consultative and solution-mapping skills.

Job Description

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  Engage with enterprise customers to understand business objectives and translate them into technical solutions.

• Design and present AI & HPC architectures leveraging NVIDIA DGX/HGX systems, BasePOD/SuperPOD clusters, and high-speed networking.

• Conduct proof-of-concept (POC) deployments and performance benchmarking for AI workloads.

• Collaborate with vendors (NVIDIA, Dell, HPE, Supermicro, DDN) to align solutions with client requirements.

• Deliver technical presentations, demos, and workshops to showcase solution capabilities.

• Support RFP/RFI responses, solution documentation, and architecture diagrams.

• Provide training and enablement for internal teams and partners on AI/HPC technologies.

• Assist in event planning and marketing initiatives to promote AI solutions

• Strong knowledge of AI/ML/DL, Generative AI, and Agentic AI frameworks (LangChain, LangGraph, RAG).

Who we are looking for

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  Hands-on experience with GPU-based computing (NVIDIA DGX/HGX, CUDA, NCCL, TensorRT).

• Familiarity with cloud platforms (AWS, Azure, OCI) and container orchestration (Docker, Kubernetes).

• Expertise in accelerated computing, high-speed interconnects (InfiniBand/RoCE), and enterprise storage systems (DDN).

• Proficiency in Python, data science libraries (PyTorch, Scikit-learn, Pandas), and AI pipeline optimization.

• Strong communication and presentation skills for client-facing engagements.

Education Requirements

Bachelor's degree in computer science, Information Technology, or related field.

Certifications required : NVIDIA AI certifications, Azure/ AWS Solutions Architect, Dell/ HPE /Lenovo SE credentials preferred.