Job Title: Senior AI Solutions Engineer
Location: UK – Hybrid with on-site responsibilities
Department: Product & Strategy
Reports To: VP Product & Strategy
Employment Type: Full-time
About the Company
Carbon3.ai is the UK’s AI solutions platform — sovereign by design, truly sustainable, and relentlessly focused on real-world outcomes. We combine sovereign, off-grid datacenters powered by 100% renewable energy with enterprise-grade AI platforms and services to enable measurable AI ROI and carbon footprint reduction. Our national AI Mesh spans 50+ datacenter locations, bringing low-latency, carbon-efficient AI infrastructure to UK enterprises. Backed by significant capital and strategic partnerships, Carbon3.ai enables enterprises to operationalise AI — faster, greener, and with complete data sovereignty.
About the Role
We’re looking for a Senior AI Solutions Engineer to sit at the intersection of customer business challenges and cutting-edge AI technology. This role will design and deliver enterprise-grade AI solutions leveraging retrieval-augmented generation (RAG), fine-tuning, and inference deployment across Carbon3.ai’s sovereign AI mesh. You’ll combine customer-facing solution design, hands-on engineering, and data/knowledge integration to ensure our clients can transform their operations with AI.
Responsibilities
Customer Solutions Design
- Engage with enterprise customers to understand business requirements and map them to AI workflows.
- Architect RAG pipelines, fine-tuning strategies, and inference endpoint deployments using CarbonCore/Lab.
- Partner with sales and GTM teams in pre-sales engagements, workshops, and proof-of-concepts.
AI & ML Engineering
- Implement and optimise models using frameworks such as PyTorch, HuggingFace, LangChain, and NVIDIA Triton.
- Design and 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 environments).
Data & Knowledge Integration (RAG)
- Build pipelines that connect enterprise data (structured/unstructured) into vector databases and embedding models.
- Design semantic search and retrieval strategies to maximise accuracy and relevance of generative AI responses.
- Ensure data pipelines are secure, compliant, and performant at scale.
Collaboration & Knowledge Sharing
- Work closely with CarbonForge (infrastructure) and CarbonCore (platform engineering) teams to ensure smooth deployments.
- Share learnings with product teams to influence roadmap and platform features.
- Act as a thought leader with customers, helping them envision what’s possible with AI.
Sample Success Metrics
Customer Impact
- Deliver 5+ enterprise AI solution deployments (production-grade RAG, fine-tuned model, or inference endpoints).
- Achieve >90% customer satisfaction on post-engagement feedback.
Technical Excellence
- Build and maintain 3–4 reusable solution accelerators (templates, playbooks, code repos) adopted across customer projects.
- Reduce model deployment cycle time by >30% through automation, tooling, or platform improvements.
Collaboration & Growth
- Train/mentor at least 2 junior engineers or solution architects in AI solution delivery.
- Contribute 2+ case studies, blog posts, or conference talks showcasing Carbon3.ai AI solutions.
Revenue Contribution
- Support pre-sales efforts that lead to £Xm in influenced ARR (aligned with GTM team metrics).
Qualifications
Must Have:
- 5+ years in 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 ability in Python (and ideally one of: Go, Java, or C++).
- Experience working directly with enterprise customers.
- Deep understanding of vector databases, embeddings, and semantic search.
Nice to Have:
- Exposure to NVIDIA AI Enterprise stack, HPE Private Cloud AI, or other enterprise AI platforms.
- Familiarity with UK regulatory/compliance considerations in AI/ML (data sovereignty, ISO 27001, SOC2).
- Knowledge of GPU performance optimisation.
- Contributions to open-source AI/ML projects.
Pay range and compensation package
Competitive compensation, potential equity, and personal development.
Equal Opportunity Statement
Carbon3.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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