We are looking for an AI Solution Architect focused on Customer Projects to foster deployment of LLM across industries and help us grow our top line. You will work closely with enterprises and startups on GenAI adoption: the most thrilling innovation projects that they are currently undertaking!
This job is a combo role of very in-depth tech hands-on needs and also requires customer facing capabilities. This is the opportunity for you to develop in both aspects.
Responsibilities:
This job is a combo role of very in-depth tech hands-on needs and also requires customer facing capabilities. This is the opportunity for you to develop in both aspects.
Responsibilities:
- Provide technical guidance and best practices for prompting, fine-tuning, and deploying our models according to customer use cases
- Regularly liaise with the product and technical teams to relay feedback and suggest improvements
- Work closely with the infra, data science and product teams to deploy successfully tailored product and use cases with all our customers (in particular on-prem customers)
- Collaborate with the sales team to advance the sales pipeline, providing technical expertise and insights when necessary
- Degree in computer science, applied AI or applied mathematics or data science from a Top Engineering School
- 3+ years of experience as a machine learning or deep learning engineer
- Passion for AI, with a constant drive to stay updated and ahead of the curve
- Strong skills in Python and software engineering- Experience in MLOps and deploying Machine Learning use cases at scale
- Strong communication skills with an ability to explain complex technical concepts in simple terms
- 2+ years of experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect
- Experience building LLM applications, RAG, or NLP products using Python (Langchain, LlamaIndex, SpaCy, etc.)
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Seniority level
Not Applicable -
Employment type
Full-time -
Job function
Engineering and Information Technology -
Industries
Technology, Information and Internet
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