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.

AI and ML Engineering:

• 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).

Data and Knowledge Integration (RAG):

• 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.

Collaboration and Knowledge Sharing:

• 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.

Technical Excellence:

• 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.

Collaboration and Growth:

• 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.

Revenue Contribution:

• Support pre-sales activities resulting in measurable influenced ARR aligned with GTM metrics.

Required Qualifications:

• 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.

Proven experience with:

• 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.

Preferred Experience:

• 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.

Why Join Carbon3.ai? 

• 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.

Location: This opportunity will require the successful individual to travel to customer sites across the United Kingdom.