Principal AI Solutions Engineer

The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale.

Samba Nova Suite is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the Samba Nova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets.

About the Role

We are seeking a Principal AI Solutions Engineer to join our Product and Solution Engineering team, driving product adoption through advanced AI solutions development, agentic AI implementation, and performance benchmarking. This role combines deep technical expertise with customer-facing responsibilities, supporting our Customer Driven Product Program (CDPP) and Product QA initiatives.

This senior technical role provides customer-facing architecture leadership essential for scaling Samba Nova's enterprise adoption:

* Customer Reference Architectures:
Design and document production-ready patterns for enterprise AI deployments

* Samba Stack Tooling:
Develop tooling and automation for Samba Stack deployment and management

* Agentic AI Solutions:
Build customer-facing agentic solutions that accelerate time-to-value

* US Timezone Coverage:
Enable global coordination with customers and partners across time zones

Impact:
Senior technical leadership for customer-facing architecture work. Drives adoption through reference implementations and best practices documentation.

Responsibilities

* AI Solutions Development:
Develop robust, efficient, and scalable AI solutions for enterprise customers

* Agentic AI Implementation:
Lead the design and implementation of agentic AI systems and multi-agent architectures

* Performance Benchmarking:
Conduct comprehensive performance benchmarking and optimization of AI models and systems

* Customer Engagement:
Lead technical enablement for CDPP customers through workshops and hands-on implementation sessions

* Model Integration:
Integrate latest model architectures into Samba Nova's platform stack

* End-to-End Solutions:
Create complete ML application solutions from concept to production deployment

* Inference Optimization:
Enable high-throughput, low-latency inference deployments for customer workloads

* Cross-Functional Leadership:
Collaborate with product and engineering teams to drive platform improvements

* Technical Thought Leadership:
Contribute to reference architectures, best practices, and technical documentation

Required Qualifications

* Bachelor's degree or higher in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or Statistics

* 5+ years of industry experience in software engineering or ML engineering

* 3+ years of hands-on experience with deep learning and machine learning systems

* Proficiency in Python or C++ programming

* Experience with modern ML frameworks:

* PyTorch, Tensor Flow, or JAX

* Real-world experience deploying LLM-based applications

* Strong client communication and presentation skills

* Experience with benchmarking methodologies and performance optimization

Preferred Qualifications

* Experience with multi-modal AI systems (vision, audio, text)

* Hands-on experience with distributed training/inference frameworks:

* vLLM, Deep Speed, Megatron-LM

* Experience building agentic AI systems (Lang Chain, Lang Graph, CrewAI, etc.)

* Knowledge of enterprise AI deployment patterns

* Experience with technical partnerships and customer-facing roles

What We Offer

* Lead cutting-edge AI solutions for enterprise customers

* Work with the fastest AI inference platform in the industry

* Global team collaboration with exposure to diverse customer challenges

* Opportunity to shape AI adoption across enterprise markets

* Competitive compensation and…