You will work as a hands-on technical leader driving the design, development, and deployment of production-grade Generative AI solutions across enterprise and industrial domains. You will collaborate closely with product managers, data scientists, engineers, and business stakeholders to translate complex business needs into scalable, secure, and reusable AI architectures on cloud platforms. Your day will involve architectural decision-making, technical mentorship, solution design reviews, and guiding teams from proof-of-concept to production.
How You'll Make An Impact
• Lead the end-to-end architecture and implementation of Generative AI solutions, from ideation to production deployment.
• Design scalable, reusable cloud-based architectures for AI and GenAI workloads.
• Build and evolve advanced Retrieval-Augmented Generation (RAG) frameworks and multi-agent systems.
• Provide technical leadership and mentorship to engineering teams.
• Collaborate with product managers and stakeholders to define requirements and delivery milestones.
• Ensure solutions meet enterprise standards for security, reliability, and performance.
• Identify and mitigate technical risks to enable smooth production releases.
• Drive adoption of MLOps best practices for model lifecycle management.
What You Bring
• Master’s degree in Computer Science, Engineering, or a related technical field.
• 8+ years of experience in software engineering, data science, with minimum 4+ years’ experience in AI-related roles.
• Proven experience delivering production-grade Generative AI solutions using LLMs.
• Solid expertise in Python and contemporary AI/ML frameworks.
• Hands-on experience with RAG, multi-agent, and graph-based AI architectures.
• Experience with Azure OpenAI, AWS SageMaker is must.
• Robust background in MLOps platforms such as MLflow and Kubeflow
• DevOps experience in OpenShift will be a major advantage.
• Experience with API design using FastAPI.
• Knowledge of SQL,
📌 Senior Solution Architect Pune
🏢 Siemens Energy
📍 Pune
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