Solutions Consultant providing tailored data solutions for agricultural and animal health clients by collaborating with Sales and Product Management on business needs. Leveraging analytic skills to address client challenges in sales and marketing data.
About the role
- Senior Pre Sales Engineer designing and delivering enterprise-grade AI solutions for Carbon3.ai. Engaging customers and ensuring AI systems deployment that drives transformation.
Responsibilities
- 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.
Requirements
- 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.
Benefits
- Competitive compensation and performance-linked rewards
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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