We're hiring on behalf of a Haystack partner!
The Role
- Define, develop, document, and own scalable solution blueprints and delivery playbooks for GenAI/Hybrid-AI deployments on dedicated on-premises hardware.
- Collaborate closely with customers, partners, product management, and engineering teams to tailor solutions to specific vertical requirements and constraints.
- Design and develop reference architectures and proofs-of-concept, optimizing models and pipelines for performance, latency, accuracy, and cost.
- Integrate and apply advanced AI models including LLMs, VLMs, VLAs, and computer vision stacks.
- Architect and implement production-grade patterns for video analytics, enterprise GenAI (e.g., RAG, copilots), and multimodal agents interacting with enterprise systems.
- Design hybrid AI architectures, partitioning workloads across edge devices, on-premises appliances, and cloud environments.
What You'll Need
- Bachelor's or Master's degree in Engineering, Information Systems, Computer Science, or a related field, with significant years of experience in Systems Engineering or AI/ML.
- Proven track record architecting and shipping complex, systems-level AI solutions that consider application, runtime, and platform factors.
- Deep hands-on proficiency with AI model lifecycles, including selection, fine-tuning, compression, quantization, and hardware-aware optimization.
- Expertise in designing hybrid AI strategies and strong software engineering foundations (Python/C++), containerization, and inference/runtime stacks.
- Customer-facing experience launching new AI products and driving POCs to production with clear KPIs.
- Excellent communication and leadership skills to influence across teams and engage with customers and executives.
What's On Offer
- A competitive salary in the range of $220,200 - $330,400.
- Opportunity to work on pioneering on-premises AI appliance technology.
- Be part of a fast-growing business unit at the forefront of AI and edge computing innovation.
- Comprehensive benefits package designed to support personal and professional success.
Apply via Haystack today!