Job Description
We're seeking an individual to form long-term connections with clients throughout the project life cycle and beyond. As the initial point of contact, you'll ensure that we provide exceptional services to our allocated clients.
Roles and Responsibilities
* Collaborate with cloud consultants and OEM partners to design and implement modern, scalable AI solutions using various technologies from Google Cloud and AWS.
* Identify new business opportunities and prioritize pursuits for Applied AI.
* Analyze, document, and optimize overall proposed solution architecture, create Statements of Work (SoWs), build on market case studies and use cases, and guide clients and teams through their AI transformation journeys on Cloud.
* Showcase your expertise in Cloud and AI/ML architecture when communicating with clients on their requirements, turning them into technical futuristic AI solutions.
* Liaise and contribute to our extensive Cloud community, contributing to knowledge exchange.
Requirements
* Demonstrate expertise in computer vision, NLP, conversational AI, Large Language Models, and MLOps, along with a deep understanding of ML Architecture and Model lifecycle, including non-functional requirements and operations management.
* Demonstrated experience in building Enterprise Scale Solution Architecture with ethics, security, regulatory, and compliance factors to deliver responsible AI solutions to Clients.
* Ensure compliance with relevant security and governance standards for AI solutions, including data protection, privacy, and ethical considerations.
* Work closely with internal specialists and delivery teams to package best practices and lessons learned into thought leadership, methodologies, and published assets.
* Contribute to internal networks and special interest groups.
Qualifications
* A Master's or MBA degree in Computer Science or engineering field is required, along with:
* 10+ years of experience in solution designing and architecture.
* 6+ years of experience in delivering complex AI or Data Analytics projects on Cloud Platform (Google and/or AWS).
* Experience in a statistical programming language (e.g., R or Python) and applied machine learning and AI techniques.
The ideal candidate will have excellent collaboration skills, experience working in client collaborative environments on Data-driven projects, and proven success in contributing to a multi-geographical team. They must also demonstrate excellent communication, written, presentation, and problem-solving skills.