NVIDIA Solution Architect
Job in
Edison, Middlesex County, New Jersey, 08817, USA
Listed on 2026-06-04
Listing for:
TATA Consulting Services
Full Time
position Listed on 2026-06-04
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
AI / GenAI
* Hands‑on experience with LLMs, RAG, agentic workflows, and GenAI architectures
* Frameworks:
PyTorch, Tensor Flow
* NVIDIA stack:
NeMo, NIM, Triton, Tensor
RT‑LLM, RAPIDS
* Custom LLM development experience (LoRA, QLoRA, distillation, hyperparameter tuning)
* Experience using NVIDIA Nemotron models
GPU & Systems
* GPU acceleration, CUDA fundamentals, performance profiling
* Distributed training and inference on multi‑node GPU clusters
* AI networking and storage concepts (Infini Band / Ethernet)
Nice to Have
* Experience with Lang Graph, Llama Index, CrewAI
* Industry expertise (BFSI, Healthcare, Retail, Manufacturing)
* NVIDIA Certifications (AI Infrastructure, GenAI, AI Operations)
* Enables scalable, governed adoption of GenAI and AI agents
Roles & Responsibilities
Solution Architecture & Delivery
* Design end-to-end AI / GenAI and agentic architectures using NVIDIA GPUs, DGX/HGX platforms, networking, and NVIDIA AI stack (NeMo, NIM, Triton, Tensor
RT‑LLM, RAPIDS)
* Build PoCs and reference architectures for LLMs, RAG, agentic AI, and industry-specific use cases
* Optimize training and inference performance across distributed GPU clusters
AI Agent Lifecycle (NeMo‑Powered)
* Enable the full AI agent lifecycle: data preparation, model selection, agent orchestration, deployment, and continuous optimization
* Use NeMo Curator & Data Designer for AI‑ready and synthetic data
* Apply Nemotron models, NeMo Retriever, and NeMo Evaluator for RAG and validation
* Build and optimize agents using NeMo Agent Toolkit across Lang Chain, CrewAI, Lang Graph, and custom frameworks
* Deploy high‑performance inference using NVIDIA NIM
* Enforce grounding, safety, and compliance using NeMo Retriever and NeMo Guardrails
* Drive continuous improvement using NeMo Customizer, NeMo RL, and NeMo Evaluator
Customer & Partner Engagement
* Act as a trusted technical advisor to enterprise customers, GSIs, ISVs, and cloud partners
* Lead architecture workshops and deep‑dive sessions with CXOs, architects, and engineering teams
* Translate business problems into scalable NVIDIA‑based solutions with measurable outcomes
Ecosystem & Enablement
* Enable partners on NVIDIA AI Enterprise and cloud reference architectures
* Create reusable assets: demos, reference architectures, and enablement material
* Provide field feedback to influence NVIDIA product roadmap
Salary Range: $180,000 to $200,000 per year
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