Solution Architect - Applied AI

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.

• 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.