AI Field Engineer - Strategic Partnerships
Posted Updated
Description
You will lead technical co-sell work with strategic partners, build reference architectures, and deliver POCs and MVPs. You will benchmark and tune model deployments, guide fine-tuning and evaluation work, create integration content, and surface partner-driven product gaps. You will manage technical partner relationships and support pipeline health.
Responsibilities
- Lead technical co-sell motions with strategic partners
- Build reference architectures, integration patterns, POCs, and MVPs
- Run load tests and tune deployments for latency, throughput, and cost targets
- Deploy and validate model families using vLLM and SGLang
- Guide model selection, fine-tuning strategy, and evaluation methodology
- Build fine-tuning pipelines and evaluation frameworks
- Surface partner-driven product gaps and translate roadmap updates into partner messaging
- Publish reference architectures, integration guides, and benchmark posts
- Track pipeline health and flag risks and opportunities
Requirements
- 3+ years in a pre-sales, partner engineering, forward-deployed, or technical consulting role
- Experience shipping production software in customer environments
- Python
- Kubernetes
- Infrastructure engineering
- LLM inference
- Batching
- Quantization
- Structured output
- Function calling
- Fine-tuning with LoRA
- Azure Foundry
- Azure OpenAI Service
- Azure ML
- AKS
- Entra
- RBAC
- Communication skills
Benefits
- Equity
- Comprehensive benefits package
