AI Solutions Architect
1 week ago
Responsibilities:
- Offer expert technical guidance and best practices for optimizing, fine-tuning, and deploying machine learning models based on specific customer requirements.
- Act as the primary liaison between clients and internal product/technical teams, facilitating ongoing feedback and improvement processes.
- Work closely with infrastructure, data science, and product teams to tailor and successfully deploy AI solutions for all customers, with a focus on those using on-premises systems.
- Collaborate with the sales team to provide technical expertise and support the progression of the sales pipeline.
Required Qualifications:
- Bachelor’s or advanced degree in Computer Science, Applied AI, Data Science, or a related technical field from a leading engineering school.
- At least 3 years of experience in hands-on machine learning or deep learning engineering.
- Strong proficiency in Python and software engineering, with practical experience in MLOps and large-scale machine learning deployment.
- A passion for AI, demonstrated by a constant drive to stay up-to-date with the latest advancements in the field.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical audiences.
Preferred Experience:
- 2-3 years in a customer-facing role such as Customer Engineer, Sales Engineer, or Solutions Architect.
- Practical experience building and deploying LLM (Large Language Model) applications, Retrieval-Augmented Generation (RAG), or Natural Language Processing (NLP) products using Python libraries like Langchain or SpaCy.
Work Location:
- The role offers a hybrid/flexible schedule with the option to work both remotely and on-site at our California, USA office.
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