Description

You will build and drive the technical integration of GenAI offerings across ISV and CSP Platforms.

Responsibilities

• Define technical objectives, timelines, and product adoption strategy for partner integrations.
• Design and ship methodologies, code, and reference architectures for RAG, LLM inference, and Multi-Agent workflows.
• Own the technical product engagement, driving progress tracking and internal reporting.
• Represent partner needs and architecture design to internal Product and Engineering teams.
• Contribute to the Product roadmap by articulating insights from large-scale enterprise engagements.

Required Skills

• 8+ years of experience in technical Product or Engineering roles in Enterprise Software and Cloud Platforms.
• Strong background in AI/ML and Deep Learning with hands-on building of enterprise-grade GenAI systems.
• Experience with programming languages and libraries including Python, PyTorch, HuggingFace, and LangChain.
• Hands-on experience with LLM application stages such as Pre-training, Customization, Inference, and Evaluation.
• Familiarity with deployment across major CSP platforms (AWS, Azure, GCP) and multi-cloud environments.
• Understanding of MLOps and Cloud Native technologies like Kubernetes, Docker, and Kubeflow.
• Experience deploying systems using NVIDIA libraries such as NeMo, NIMs, Triton, and Tensor-RT.
• Proficiency in developing intricate RAGs and Multi-Agent architectures.

Key Skills

Education

Any Graduate