Associate Software Architect - AI Solutions

 We are looking for   Associate Software Architect '' AI Solutions   ,     

 You'll make an impact by 

• Collaborate with AI/ML engineers, developers, and platform architects to define end-to-end solution architectures for AI-powered systems
• Design and review architectures that support LLM-based, Deep Learning, and traditional ML workloads with an emphasis on modularity, performance, and maintainability.
• Drive architectural alignment across components such as model serving, orchestration layers, data pipelines, and cloud infrastructure.
• Incorporate Non-Functional Requirements (NFRs) including scalability, testability, observability, latency, and fault tolerance into system designs.
• Define architecture patterns for deploying models as microservices, integrating with APIs, and ensuring CI/CD readiness.
• Evaluate and recommend suitable cloud services and managed tools from AWS (Sagemaker, Bedrock) and Azure (ML Studio, OpenAI, AI Foundry).
• Ensure high standards of code quality, performance benchmarking, and architectural documentation.
• Collaborate in technical reviews and mentor engineering teams on architectural best practices and trade-offs.

 Use your skills to move the world forward!  

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 7+ years of experience in software/system architecture, including at least 4 years working with AI/ML-based solutions.
• Strong understanding of AI system lifecycle, including model development, serving, monitoring, and retraining.
• Experience designing scalable systems with Python, FastAPI, containerization (Docker), and orchestration (Kubernetes or ECS).
• Proficiency in defining and measuring NFRs, conducting architectural performance reviews, and supporting DevOps and MLOps practices.
• Solid hands-on experience with cloud-native AI development using AWS or Azure tools and services
• Experience working in AI/ML-driven environments, especially with LLMs, RAG architectures, and agent-based systems.
• Familiarity with model observability, logging frameworks, and telemetry strategies for AI
• applications.
• Prior exposure to architecture in the Power/Energy or Electrification domain is a strong plus.
• Good understanding of hybrid system architectures that integrate real-time and batch
• pipelines.
• Strong collaboration and documentation skills with the ability to align cross-functional technical teams.