About The Role

In this role, you will combine deep hands-on expertise in GPU-accelerated AI, Generative AI, and modern AI infrastructure with the opportunity to shape enterprise AI strategies for integral clients. You will lead technical engagements from discovery through production, influence architectural decisions, drive AI adoption, and contribute to NVIDIA-focused go-to-market initiatives while collaborating with client stakeholders and multidisciplinary engineering teams.

Responsibilities

Lead end-to-end AI engagements, from discovery and solution strategy through architecture design, implementation planning, and production delivery
Translate complex business challenges into AI use cases, solution roadmaps, and scalable enterprise architectures
Design and validate production-ready AI solutions leveraging NVIDIA technologies across cloud and on-premises environments
Define reference architectures for Generative AI and Agentic AI solutions, including GPU infrastructure, Kubernetes orchestration, and inference optimization strategies




Evaluate and optimize AI inference performance by analyzing GPU utilization, latency, throughput, scalability, and infrastructure efficiency
Benchmark and optimize LLM serving frameworks and deployment configurations
Lead pre-sales activities, including technical discovery, workshops, solution positioning, proposals, and proof-of-concept initiatives
Collaborate with NVIDIA stakeholders and internal teams to develop reusable accelerators, solution blueprints, and industry offerings
Drive technical thought leadership through whitepapers, technical content, conference presentations, and mentorship

Requirements

6+ years of experience in AI consulting, Generative AI, Agentic AI, Machine Learning, or Deep Learning, including ownership of client-facing engagements
Bachelor's or Master's degree in Computer Science, Applied Mathematics, Physics, Engineering, or related technical field preferred
Advanced expertise in Generative AI, Agentic

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