AI Solutions Engineer

NVIDIA is looking for a talented AI Solutions Engineer to join our innovative AI team.

In this role, you will act as a bridge between our AI capabilities and internal customers, helping teams effectively adopt and integrate cutting-edge AI based solutions.

Our team develops advanced AI applications including agentic workflows, Retrieval-Augmented Generation (RAG) systems, Large Language Model (LLM) based solutions, AI agents, MCPs, and more.

Responsibilities:

• Lead technical engagements to showcase AI capabilities and demonstrate best practices
• Support integration of AI solutions into existing systems and workflows
• Guide users on how to effectively use AI tools and platforms to maximize impact
• Develop and customize AI solutions (e.g., RAG pipelines, LLM-based applications, evaluation, agents, etc.) based on customer use cases while ensuring high reliability
• Troubleshoot technical issues and provide hands-on support during onboarding and adoption

Requirements:

• B.Sc. (or equivalent experience) in Computer Science, AI, Machine Learning or related field
• 8+ years of experience in software development and building production-grade software systems
• 2+ years of experience building LLM-based solutions, AI agents, and AI workflows
• Experience working with customers in a technical capacity
• Strong understanding of modern AI/ML concepts and practical applications
• Proficiency in Python
• Excellent people skills with strong communication skills and ability to explain complex technical concepts clearly

Nice to Have:

• Experience with LLMs, RAG systems, or AI agents
• Background in solutions engineering, customer engineering, or technical consulting
• Familiarity with vector databases, embeddings, and evaluation methods
• Ability to quickly prototype and adapt solutions to new use cases
• Strong product thinking and user-centric perspective as well as experience creating demos, POCs, or technical workshops

We offer competitive salaries and a generous benefits package.