Solutions Architect, Agentic AI

at Nvidia
📍 Santa Clara, United States
USD 148,000-287,500 per year
MIDDLE
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Kubernetes @ 3 Linux @ 6 Automated Testing @ 3 Python @ 6 CI/CD @ 3 Algorithms @ 5 Data Structures @ 5 Machine Learning @ 3 Data Science @ 3 TensorFlow @ 3 Communication @ 6 Mathematics @ 3 Debugging @ 6 PyTorch @ 3 OpenShift @ 3

Details

Drive the future of AI by building agentic AI applications at scale as part of the NVIDIA AI Enterprise (NVAIE) SA Segment Team. The team focuses on enabling enterprise adoption of NVIDIA AI Enterprise software in production, specializing in cutting-edge Machine Learning, Deep Learning, and Generative AI techniques to deliver agentic solutions that integrate enterprise data sources and support real-world workflows.

Responsibilities

  • Design and build agentic AI applications that retrieve and generate insights from enterprise data (text, code, images).
  • Develop high-impact solutions such as deep research assistants, multi-modal dialogue systems, and task-specific agents for enterprise workflows.
  • Work with agentic frameworks and libraries to prototype and productionize multi-agent systems and agentic workflows.
  • Apply techniques including test-time compute, reinforcement learning, inference optimization, and model fine-tuning to improve agent performance.
  • Integrate enterprise data sources into agentic applications and ensure reliable, production-ready behavior.
  • Collaborate closely with engineering teams and product stakeholders; provide technical feedback to improve NVIDIA AI software and scale knowledge across vertical teams.

Requirements

  • BS, MS, or PhD in Engineering, Mathematics, Physics, Computer Science, Data Science, or equivalent experience.
  • 5+ years of experience with Deep Learning and Machine Learning and a proven track record in the field.
  • Strong software engineering and debugging skills; experience with Python and C/C++ and comfortable working on Linux.
  • Experience using GPUs and deep learning frameworks such as TensorFlow or PyTorch.
  • Proficiency in rapid prototyping with Python and solid knowledge of data structures, algorithms, and software engineering principles.
  • Experience building advanced multi-agent systems; familiarity with libraries such as LangGraph, LlamaIndex, and CrewAI.
  • Strong communication skills and the ability to collaborate effectively with executives and engineering teams.

Ways to stand out (Preferred / Nice to have)

  • Experience building evaluation harnesses, success metrics, automated testing pipelines, and guardrail frameworks for safe, reliable agentic AI workflows.
  • Skilled in fine-tuning and optimizing reasoning-focused LLMs/SLMs, including prompt engineering, quantization, and benchmarking.
  • Experience developing production-grade deployment patterns using Kubernetes/OpenShift, CI/CD automation, and secure cloud-native infrastructure.
  • Expertise in reinforcement learning techniques and inference optimization for agentic systems.

Compensation & Benefits

  • Base salary ranges (determined by location, experience, and comparable roles):
    • Level 3: 148,000 USD - 235,750 USD
    • Level 4: 184,000 USD - 287,500 USD
  • Eligible for equity and NVIDIA benefits.

Additional Information

  • Applications for this job will be accepted at least until September 7, 2025.
  • NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment. The company does not discriminate based on protected characteristics.