Senior Pre Sales Engineer / AI Solutions
Carbon3 is building the UK’s sovereign AI infrastructure platform, combining renewable energy, distributed compute, and full data ownership to power the next generation of sustainable innovation. We’re seeking a Senior Pre Sales Engineer who has expertise in AI solutions architecture to sit at the intersection of customer business challenges and cutting-edge AI technology. This is a hands-on, customer-facing role responsible for designing and delivering enterprise-grade AI solutions leveraging retrieval-augmented generation (RAG), fine-tuning, and inference deployment across Carbon3.ai’s sovereign AI Mesh. You’ll blend deep technical expertise with commercial acumen — engaging customers, architecting solutions, and ensuring seamless deployment of AI systems that drive real-world transformation. Key Responsibilities Customer Solution Design:
- Engage with enterprise customers to understand business goals and map them to AI workflows.
- Architect RAG pipelines, fine-tuning strategies, and inference endpoint deployments using our key products.
- Collaborate with GTM and sales teams during pre-sales cycles, workshops, and proof-of-concepts.
- Implement, optimise, and deploy models using PyTorch, HuggingFace, LangChain, and NVIDIA Triton.
- Execute fine-tuning and evaluation of foundation models for domain-specific use cases.
- Package and deploy models into scalable inference endpoints (REST/gRPC APIs, containerised or GPU-accelerated environments).
- Build pipelines that connect structured and unstructured enterprise data into vector databases and embedding models.
- Design semantic search and retrieval strategies to maximise response accuracy and relevance.
- Ensure all data pipelines are secure, compliant, and performant at scale.
- Work closely with infrastructure and platform engineering teams for smooth deployments.
- Feed insights into the product roadmap and platform feature development.
- Act as a thought leader and trusted advisor to customers exploring applied AI adoption.
- Develop and maintain 3–4 reusable solution accelerators (templates, playbooks, code repos) adopted across projects.
- Reduce model deployment cycle time by >30% through automation, tooling, or platform improvements.
- Train or mentor at least 2 junior engineers or solution architects in AI delivery best practices.
- Contribute 2+ technical case studies, blog posts, or conference talks showcasing Carbon3.ai’s AI solutions.
- Support pre-sales activities resulting in measurable influenced ARR aligned with GTM metrics.
- Experience working directly with enterprise customers and translating technical concepts into business value.
- Solid experience within AI/ML engineering, applied AI, or solutions engineering roles.
- RAG pipelines (LangChain, LlamaIndex, Weaviate, Pinecone, Milvus, etc.)
- Fine-tuning LLMs (LoRA, PEFT, instruction-tuning, domain adaptation)
- Deploying inference endpoints at scale (Triton, HuggingFace Inference, Ray Serve, Kubernetes)
- Strong coding skills in Python (and ideally one of Go, Java, or C++).
- Deep understanding of vector databases, embeddings, and semantic search.
- Exposure to NVIDIA AI Enterprise, HPE Private Cloud AI, or other enterprise AI platforms.
- Familiarity with UK regulatory and compliance frameworks (data sovereignty, ISO 27001, SOC 2).
- Knowledge of GPU optimisation and performance tuning.
- Contributions to open-source AI or ML projects.
- Work with next-generation AI products
- Operate at the forefront: Join a fast-moving, high-investment market shaping the future of sovereign compute.
- Engage with senior leaders: Collaborate with executives across government, enterprise, and technology ecosystems.
- Influence market direction: Help position Carbon3 as the trusted platform for sustainable, sovereign AI adoption.
- Benefit from growth: Competitive compensation and performance-linked rewards.