2 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Design, develop, and deploy cloud-native AI and Generative AI solutions from proof of concept through production.
- Build and manage scalable AI application infrastructure using Microsoft Azure, containerized architectures, and cloud-native services.
- Implement RAG, agentic AI, autonomous AI, and AI-powered automation solutions across enterprise business functions.
- Develop API-driven integrations with Microsoft Graph, SharePoint, Microsoft Fabric, Snowflake, Power BI, and other business applications.
- Collaborate with AI engineers, data engineers, architects, cybersecurity teams, and business stakeholders to deliver secure production-ready solutions.
- Design and maintain CI/CD pipelines, automated deployment frameworks, monitoring, logging, telemetry, and observability capabilities.
- Deploy and manage AI applications using Azure Container Apps and infrastructure automation techniques.
- Ensure compliance with enterprise security, governance, responsible AI, regulatory, and risk management requirements.
- Contribute to platform standardization, architecture reviews, technical documentation, and cloud engineering practices.
Requirements
- Bachelor’s degree or higher in Computer Science, Engineering, Data Science, Mathematics, Information Technology, or a related technical field plus 5–7 years of job-related experience, or a high school diploma/GED plus 10 years of related experience.
- Professional proficiency in English.
- Proficiency in Python and modern API development frameworks such as FastAPI.
- Hands-on experience with Microsoft Azure, cloud-native application development, Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Container Apps, and Azure Functions.
- Experience building and deploying enterprise-scale AI/ML and Generative AI solutions in cloud environments.
- Working knowledge of RAG, vector search architectures, prompt orchestration, and agentic AI systems.
- Experience with Docker containerization, cloud deployment patterns, CI/CD pipelines, GitHub Actions, Azure DevOps, and DevSecOps practices.
- Experience integrating enterprise applications through APIs, Microsoft Graph APIs, SharePoint services, and cloud data platforms.
- Familiarity with Microsoft Fabric, Snowflake, and Power BI integration architectures.
- Understanding of cloud security principles including RBAC, Managed Identity, Key Vault, secret management, secure application design, distributed systems, performance optimization, and reliability engineering.
- A master’s degree or higher in Computer Science, Cloud Computing, Artificial Intelligence, Machine Learning, or a related discipline is preferred.
- Preferred experience includes enterprise AI platforms, AI Centers of Excellence, cloud-based AI transformation initiatives, regulated industries, healthcare, life sciences, medical technology, and Infrastructure as Code tools such as Terraform or Bicep.
Benefits
- Hybrid domestic work arrangement.
- Domestic travel may be required up to 20%.
- Solventum offers programs supporting physical and financial well-being.
- The role may require licenses, vaccinations, medical screens, or other credentials for entry into healthcare or third-party facilities.