Home/Jobs/AI Cloud Engineer AI Cloud Engineer Solventum Bengaluru 5-7 years Today $38.6K–51.8K/yr Full-time Hybrid Skills Required LLM RAG Agentic AI Gen AI Azure OpenAI Python FastAPI Azure Azure AI Foundry Azure AI Search Azure Container Apps Azure Functions Docker CI/CD GitHub Actions Description Solventum is hiring an AI Cloud Engineer to design and build secure, scalable enterprise cloud platforms for advanced AI and Generative AI solutions. The role focuses on Azure-based AI engineering, integration with enterprise platforms, and delivery in regulated healthcare environments.

Company: Solventum Role: AI Cloud Engineer Location: Hybrid Experience 5-7 years of job-related experience with a bachelor's degree or higher, or 10 years with a High School Diploma/GED

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 platform services

Experience building and deploying enterprise-scale AI/ML and Generative AI solutions in cloud environments

Working knowledge of Retrieval-Augmented Generation, 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 up-to-date DevSecOps practices

Working knowledge of infrastructure monitoring, logging, application telemetry, and observability tools

Experience integrating enterprise applications through REST APIs, 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 required

May include up to 20% domestic travel Qualification Bachelor’s Degree or higher in Computer Science, Engineering, Data Science, Mathematics, Information Technology, or a related technical field

High School Diploma/GED with 10 years of job-related experience

Master's Degree or higher in Computer Science, Cloud Computing, Artificial Intelligence, Machine Learning,



or related technical discipline Responsibilities Design, develop, and deploy cloud-native AI solutions from proof of concept through production deployment

Build and manage scalable AI application infrastructure leveraging Azure cloud services, containerized architectures, and modern software engineering practices

Implement and support Generative AI, Retrieval-Augmented Generation, Agentic AI, and AI-powered automation solutions across enterprise business functions

Develop and maintain API-driven integrations with enterprise platforms including 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 and production-ready AI solutions

Design and implement CI/CD pipelines, automated deployment frameworks, monitoring solutions, and operational best practices for AI workloads

Deploy and manage AI applications using Azure Container Apps, cloud-native services, and infrastructure automation techniques

Ensure compliance with enterprise security, governance, responsible AI, and regulatory requirements, particularly within healthcare and other regulated environments

Contribute to platform standardization, architecture reviews, technical documentation, and cloud engineering best practices Additional Responsibilities Experience with multi-agent orchestration frameworks, autonomous AI systems, and advanced LLM application architectures

Knowledge of Responsible AI, model evaluation frameworks, enterprise governance, compliance, and risk management practices

May be required to enter healthcare or other third-party facilities and meet site prerequisites such as licenses, vaccinations, or other credentials or qualifications Nice To Have Experience implementing enterprise AI platforms, AI Centers of Excellence, or cloud-based AI transformation initiatives

Experience deploying and supporting AI workloads in regulated industries such as healthcare, life sciences, or medical technology





Hands-on experience with Infrastructure as Code tools such as Terraform, Bicep, or equivalent cloud automation frameworks

Passion for innovation, continuous learning, and solving complex cloud and AI engineering challenges More Skills cloud-native application development, AI/ML, Retrieval-Augmented Generation (RAG), vector search architectures, prompt orchestration, Azure DevOps, DevSecOps, monitoring, logging, application telemetry, observability, REST APIs, Microsoft Graph APIs, SharePoint, Microsoft Fabric, Snowflake, Power BI, RBAC, Managed Identity, Key Vault, secret management, distributed systems, performance optimization, reliability engineering, AI models, enterprise AI platforms, Infrastructure as Code, Terraform, Bicep Other Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives

3M Health Care is now Solventum The company emphasizes empathy, insight, clinical intelligence, and collaboration with healthcare professionals

Solventum offers programs supporting physical and financial well-being

Competitive pay and benefits are benchmarked regularly

Equal opportunity employer and values diversity

Applicant materials may still reflect legacy branding while careers materials are updated

Applicants may need to provide education and work history in a resume or application fields

Recruitment fraud warning and caution about unsolicited messages

Only Solventum communications use the @ domain

All qualified applicants receive consideration without regard to protected characteristics

Privacy policy applies to personal information submitted Follow for Daily AI Tutorials Prepare for this role Recommended resources to build the skills for this position. Sponsored. Generative AI with Large Language Models Coursera Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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