Nttlimited

Senior AI Solution Architect

Toronto, CanadaFull timeSeniorPosted 2 days ago
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Make an impact with NTT DATAJoin a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.The Senior AI Solution Architect is a senior technical subject matter expert responsible for architecting, developing, deploying, and continuously evolving production-grade AI products and intelligent services that accelerate business innovation, operational excellence, and digital transformation. This role spans the complete AI, product, and service lifecycle—from opportunity identification, business case development, solution architecture, data strategy, model development, validation, deployment, operations, optimization, and continuous improvement—across cloud, edge, IoT, robotics, and embodied AI environments.The successful candidate will transform cutting-edge IIoT, AI research into secure, scalable, commercially viable, and enterprise-ready solutions while ensuring alignment with business objectives, enterprise architecture, cybersecurity, governance, operational excellence, and client experience. They will serve as a technical leader, partnering with product management, engineering, research, operations, enterprise architecture, and executive stakeholders to define AI strategy, accelerate time-to-market, and establish best practices for production AI systems.This role requires deep expertise in modern Foundation Models, Large Language Models (LLMs), Vision-Language Models (VLMs), Computer Vision, Agentic AI, Physical AI, Robotics, Multimodal Intelligence, and Liquid Foundation Models (LFMs). The engineer will build intelligent systems that bridge AI with enterprise software, industrial automation, IoT platforms, sensors, robots, digital twins, and autonomous systems operating under real-world latency, safety, reliability, and resource constraints.Key Responsibilities:AI Strategy, Product & Service DevelopmentLead the complete lifecycle of AI products and intelligent services from concept through production and continuous optimization.Translate business, operational, industrial, and robotics challenges into scalable AI-powered products and services.Develop business cases, value propositions, technical roadmaps, and commercialization strategies for new AI capabilities.Coordinate cross-functional engineering activities to deliver AI solutions on schedule, within budget, and aligned with enterprise development methodologies.Ensure AI initiatives align with enterprise architecture, cybersecurity standards, governance frameworks, operational requirements, and strategic business priorities.Drive continuous improvement of AI engineering methodologies, development standards, and service delivery practices.Conduct post-deployment reviews and identify opportunities for optimization, automation, monetization, and operational impr...