AI Field Engineer - Strategic Partnerships

About the role

The AI Field Engineer for Strategic Partnerships plays a crucial role in building and enabling Fireworks' most strategic partnerships. This role involves working closely with Strategic Partner field teams, Partner-aligned ISVs, and System Integrators (SI) that run enterprise AI transformation programs. The goal is to make Fireworks the default inference and fine-tuning layer in every Partner AI architecture.

Segment

You will own the technical relationship between Fireworks and the Partner ecosystems, Strategic Partner field teams, ISVs building on Strategic Partners, and System Integrators delivering AI transformation programs on Strategic Partners. Examples include the Microsoft partnership, which is a core go-to-market bet involving clients like UIPath, Stack Blitz, and Motif running via Fireworks on Foundry.

What You'll Work On

• Technical Delivery and Deployment:

  • Co-sell motions with Strategic Partners, including joint reference architectures, partner integration patterns, and shared POCs for strategic accounts.
  • Build end-to-end POCs and MVPs alongside partner engineering teams, working inside their codebases, infrastructure, and constraints.
  • Run load tests and establish latency, throughput, and cost baselines against realistic customer traffic profiles, and tune deployments to hit those targets.
  • Deploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal shapes, quantization configs, and serving patterns across workloads.

• Model Strategy and Fine-Tuning:

  • Guide customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation methodology.
  • Build and run fine-tuning pipelines directly with customers, navigating trade-offs between model families, compute cost, and quality targets.
  • Design and implement evaluation frameworks that measure production-quality metrics, not just benchmark scores.

• Product Feedback and Platform Improvement:

  • Own the feedback loop, surface partner-driven product gaps to Fireworks engineering, and translate the roadmap back into partner messaging.
  • Ship external technical content: reference architectures, integration guides, and benchmark posts that make it easy for partners to win deals with us.
  • Track pipeline health; flag risks and opportunities to Field leadership weekly.

What We're Looking For

• Minimum Qualifications:

  • 3+ years in a pre-sales, partner engineering, forward-deployed, or technical consulting role.
  • Demonstrated ability to build production software with customers, not just advise on it. You have shipped code running in someone else's production environment.
  • Strong Python skills. Comfortable reading, writing, and debugging production code. Familiarity with Kubernetes and infrastructure engineering.
  • Hands-on fluency with LLM inference: latency/throughput tradeoffs, batching strategies, quantization, structured outputs, function calling. You can explain why 50ms p99 matters to an enterprise CTO.
  • Real experience with fine-tuning — LoRA at minimum, RFT a strong plus. You understand when SFT is enough and when it isn't.
  • Deep familiarity with the Azure AI stack: Azure Foundry, Azure OpenAI Service, Azure ML, AKS, Entra/RBAC for AI workloads. You know where Fireworks fits and where it doesn't.
  • Exceptional communication: able to run a sharp discovery call, present to a VP, and debug a latency issue with an ML engineer in the same afternoon.

• Preferred Qualifications:

  • 5+ years in technical field or engineering roles where you've owned a technical relationship with a hyperscaler or major SI, not just supported one.
  • Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM) and tuning deployments for real workloads.
  • Prior role at a hyperscaler, AI-native cloud, or inference provider.
  • Deep familiarity with other strategic partner stacks: Platforms for AI workloads, network, and identity integration patterns. You know where Fireworks fits and where it doesn't.
  • Experience with agentic frameworks (LangChain, LlamaIndex, or custom tool-use pipelines) — you understand how inference latency and reliability shapes agent behavior at scale.
  • Background in model evaluation — you understand why benchmark gaming is rampant and what rigorous evals actually look like.
  • You've written a technical blog post or reference architecture that people actually read.
  • Track record taking GenAI POCs from prototype to production-scale deployments.

On-Target Expectations (Plus Equity)

$200,000 - $260,000 USD

Total compensation also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location.

Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.

On Target Earnings (Plus Equity)

$200,000 - $260,000 USD

Why Fireworks AI?

• Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
• Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
• Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
• Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.

Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

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