Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
NVIDIA Solution Architect
Job
Tata Consultancy Services Limited
Edison, NJ (In Person)
$190,000 Salary, Full-Time
Review key factors to help you decide if the role fits your goals.
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
83
out of 100
Average of individual scores
Skill Insights
Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
Must Have Technical/Functional Skills AI / GenAI
- Hands‑on experience with LLMs, RAG, agentic workflows, and GenAI architectures
Frameworks:
PyTorch, TensorFlow- NVIDIA stack: NeMo, NIM, Triton, TensorRT‑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 (InfiniBand / Ethernet) Nice to Have
- Experience with LangGraph, LlamaIndex, 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, TensorRT‑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 LangChain, CrewAI, LangGraph, 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