10 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design, develop, and deploy cloud-native AI solutions from proof of concept through production.
- Build and manage scalable AI application infrastructure using Microsoft Azure, containerized architectures, and modern software engineering practices.
- Implement Generative AI, Retrieval-Augmented Generation, Agentic AI, and AI-powered automation solutions across enterprise business functions.
- Develop and maintain 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 AI solutions.
- Design and implement CI/CD pipelines, automated deployment frameworks, monitoring solutions, and operational practices for AI workloads.
- Deploy and manage AI applications using Azure Container Apps, cloud-native services, and infrastructure automation.
- Ensure compliance with enterprise security, governance, responsible AI, and regulatory requirements, particularly in healthcare environments.
- Contribute to platform standardization, architecture reviews, technical documentation, and cloud engineering best 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.
- Proficiency in Python and modern API development frameworks such as FastAPI.
- Hands-on experience with Microsoft Azure and cloud-native application development.
- Strong experience with Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Container Apps, Azure Functions, and related Azure services.
- 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 and cloud deployment patterns.
- Experience implementing CI/CD pipelines using GitHub Actions, Azure DevOps, and modern DevSecOps practices.
- Working knowledge of infrastructure monitoring, logging, application telemetry, and observability tools.
- Experience integrating enterprise applications through Microsoft Graph APIs, SharePoint services, and cloud data platforms.
- Familiarity with Microsoft Fabric, Snowflake, and Power BI integration architectures.
- Strong understanding of cloud security principles, including RBAC, Managed Identity, Key Vault, secret management, and secure application design.
- Knowledge of scalable application architecture, distributed systems, performance optimization, and reliability engineering.
- Professional proficiency in English.
- A master’s degree or higher in Computer Science, Cloud Computing, Artificial Intelligence, Machine Learning, or a related technical discipline is preferred.
- Experience with enterprise AI platforms, AI Centers of Excellence, cloud-based AI transformation initiatives, regulated industries, or infrastructure-as-code tools such as Terraform and Bicep is preferred.
Benefits
- Hybrid work arrangement.
- Domestic travel may be required up to 20%.
- Solventum offers programs supporting physical and financial well-being, along with competitive benefits.
- The role may require licenses, vaccinations, medical screenings, or other credentials for entry into healthcare or third-party facilities.