AI Solutions Architect (Hybrid/Flexible Schedule in California, USA)

Diversity Talent Scouts- Executive Search Firm • california, california, us • 3m 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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