Job Title: AI Solution Architect

Location: London, United Kingdom (Hybrid- 1 day/week)Job Type: Contract Inside IR35We are looking for a technically savvy and business-minded solutions architect to deeply.through application ideation, development, delivery, and scale to accelerate andCollaborate with application engineers, product managers, and data scientists to deliver solutions that solve real-world problemsDeeply embedded with our most strategic platform customers, serving as their technical thought partner in ideating and building novel applications on our API.Forge and manage relationships with our customers leadership and stakeholders to ensure their applications successful deployment and scale.Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories.AI Solution Architects are data and analytics professionals with at least 5 years of experience with knowledge of Transformer (and other Deep Learning) Architectures, data lake architectures, data integration, and data governance, and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from AWS, Azure, Google, HuggingFace, OpenAI and Databricks) building ML or applied AI solutions.A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM''sFundamental knowledge of ML, and basic knowledge of AI, NLP, and Large Language Models (LLM)Comfortable working with Python and Jupyter NotebooksShould have in-depth knowledge and familiarity with cloud platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.)Experience with Transforms Architecture Design, specializing LLM (Zero/Few Shot Training) or any POC to create SMLExpertise in optimizing AI solutions for runtime cost.Extensive knowledge of big data technologiesUnderstanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc.Graduate in Engineering OR masters in computer applications.Understanding of utilizing Agile and Scrum software development methodologiesSkill in gathering and documenting user requirements and writing technical specifications.Excellent team player, able to work with virtual teams.Self-motivated and capable of working independently with minimal management supervision.Having Machine Learning or AI certifications would be an added advantage.#