Job Title

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 applications 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 APIs & 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 masters 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.