AI Solution Architect

Job Summary: We are looking for a technically savvy and business-minded solutions architect to deeply. partner with our most strategic and high-impact platform customers, guiding them through application ideation, development, delivery, and scale to accelerate and maximize the value of what they build with our platform. You will collaborate with a dynamic team of professionals, contribute to cutting-edge technologies, and make a significant impact on our company's success. Years of experience needed: 15 yrs Responsibilities: • Lead development of and provide hands-on technical leadership in the delivery of proofs-of-concept or proofs-of-architecture for our customers. • Collaborate with application engineers, product managers, and data scientists to deliver solutions that solve real-world problems • Deeply embedded with our most strategic platform customers, serving as their technical thought partner in ideating and building novel applications on our API. • Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. • Forge and manage relationships with our customers’ leadership and stakeholders to ensure their application’s successful deployment and scale. • Contribute to open-source developer and enterprise resources. • Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories. • Validate, synthesize, and deliver high-signal feedback to the Product and Research teams. Technical Skills – Must have: • 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's • Fundamental knowledge of ML, and basic knowledge of AI, NLP, and Large Language Models (LLM) • Comfortable working with Python and Jupyter Notebooks • Should have in-depth knowledge and familiarity with cloud platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Technical Skills – Good to have: • Expertise in any one framework (TensorFlow, Pytorch, Keras) • 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 SML • Expertise in optimizing AI solutions for runtime cost. • Expertise in conversational system architecture • Extensive knowledge on API’s & Integrations, Patterns. • Extensive knowledge of big data technologies • Knowledge on Statistical Methods • OTHER SKILLS WE'D APPRECIATE 1. Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc. EDUCATION QUALIFICATION • Graduate in Engineering OR master’s in computer applications. Process Skills: • General SDLC processes • Understanding of utilizing Agile and Scrum software development methodologies • Skill in gathering and documenting user requirements and writing technical specifications. Behavioral Skills: • Good Attitude and Quick learner. • Well-developed design, analytical & problem-solving skills • Strong oral and written communication skills • Excellent team player, able to work with virtual teams. • Self-motivated and capable of working independently with minimal management supervision. Certification: • Having Machine Learning or AI certifications would be an added advantage.

Location: London, GB

Posted Date: 4/30/2025