AI Solution Architect

AI Solution Architect

Role Overview

At Schneider Electric’s Digital Technology Centres(DTCs), we are building a cutting-edge AI Delivery team and are seeking an experienced, detail-oriented AI Solutions Architect with deep technical expertise and a strong business acumen. You will play a critical role in designing, architecting, and deploying robust, scalable AI and ML solutions on AWS and associated cloud platforms.

Ideal candidates will have 8-10 years of experience, bring passion and creativity to solve complex AI challenges, and thrive in a fast-moving, innovation-driven environment. You will lead architectural decisions, guide cross-functional teams, and ensure seamless integration of AI technologies across data platforms, automation frameworks, and advanced AI workflows.

Key Responsibilities

• Architect end-to-end AI / ML deployment solutions focusing on AWS services such as S3, Redshift, SageMaker, Bedrock, Lambda, and IAM, ensuring best practices in security, compliance, and scalability.
• Design and integrate data lakes, structured databases, and ML pipelines leveraging Databricks architecture for smooth data processing and AI workload orchestration.
• Lead solution design and orchestration for RPA and GenAI systems, incorporating conversational and agentic AI platforms like Copilot Studio, Agentforce, and Sierra.
• Drive architectural decisions, review technical approaches, and provide leadership to development teams on experimentation, prototyping, and solution delivery.
• Manage model development, deployment, and lifecycle on platforms such as SageMaker and Bedrock, implementing MLOps best practices.
• Implement end-to-end automation of ML pipelines with SageMaker and Databricks workflows, integrating models into scalable, cloud-native services.
• Utilize Kubernetes and container orchestration for scalable AI deployment alongside infrastructure as code tools such as Terraform and CloudFormation.
• Establish advanced monitoring, logging, and performance optimization for AI workloads, promoting high availability and reliability.
• Collaborate with business stakeholders to prioritize AI use cases and ensure architectural alignment with strategic objectives.
• Oversee data ingestion, transformation, and governance workflows to maintain data privacy, quality, and accessibility for AI and RPA workloads.
• Define and implement CI / CD pipelines tailored for AI / ML deployments, ensuring seamless and automated delivery cycles.
• Stay current on emerging AI technologies, especially in Generative AI and LLM domains, and drive integration of innovative solutions with existing platforms.

Required Skills & Qualifications

What We’re Looking For

Why Join Us?

Thrive in a culture that challenges the status quo and embraces diverse perspectives.