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Solution Architect

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Roles and Responsibilities:- Collaborate with the Solutions Consultants and OEM partners to design and implement modern, scalable AI solutions using a range of new and emerging technologies from the Cloud (Google Cloud and AWS). Continuously work towards identifying new business opportunities and prioritize pursuits for Applied AI Analyze, document and optimize the overall proposed solution architecture; create SoWs, build on market case studies and use cases; guide clients and teams through their AI transformation journeys on Cloud Showcase your Cloud and AI/ML architecture experience when communicating with clients on their requirements, turning these into technical futuristic AI solutions Develop a Go-To-Market strategy of AI solutions for customers Proactively liaise and be part of our extensive Cloud community, contributing in the knowledge exchange Demonstrate expertise & experience in computer vision, NLP, conversational AI and MLOps along with a deep understanding of ML Architecture and Model lifecycle including non-functional requirements and operations management Familiarity with ethics, regulatory and compliance factors in data and model Management would be a certain plus Work closely with internal specialists and delivery teams to package best practices and lessons learned into thought leadership, methodologies, and published assets. Create AI white papers and enable strategic partnerships with industry leaders Align, mentor, and manage, team(s) around strategic initiatives Contribute to our internal networks and special interest groups. Provide architectural leadership to development teams, and serve as the primary architect resource, and provide technical guidance and leadership to all internal and external teams involved in the implementation process Establish processes, operations, measurement, and controls for end-to-end life-cycle management of the digital workforce (intelligent systems) Must have the right Solution & Architecture experience working with Google AI and Data Products BigQuery, Document AI, CCAI, Dialogow, Vertex AI, Dataprep, etc., or similar products on any other public cloud platform. Qualification:- 8-15 years of experience in delivering complex AI or Data Analytics projects on Cloud Platforms (Google and/or AWS) 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 in systems design with the ability to architect and explain Machine Learning Operations platforms. Ability to translate business problems into futuristic AI solutions Excellent collaboration skills, experience working in client collaborative environments on Data-driven projects Proven success in contributing in a multi-geographical team Demonstrate excellent communication, written, presentation, and problem-solving skills.