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Solventum

Global healthcare company: wound care, dental

AI Cloud Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • A 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 the same job-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 platform services.
  • Experience building and deploying enterprise-scale AI/ML and Generative AI solutions in cloud environments.
  • Working knowledge of Retrieval-Augmented Generation (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 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 role-based access control (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 is required.

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 (RAG), 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.

Desired Qualifications

  • 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.
  • A master's degree or higher in Computer Science, Cloud Computing, Artificial Intelligence, Machine Learning, or a related technical discipline.
  • 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 (IaC) tools such as Terraform, Bicep, or equivalent cloud automation frameworks.

About the Company

Solventum

Global healthcare company: wound care, dental

Solventum is a global healthcare company spun off from 3M in 2024 and traded on the NYSE as SOLV, with four segments: MedSurg, Dental Solutions, Health Information Systems, and Purification and Filtration. MedSurg covers wound care and surgical supplies, Dental Solutions handles orthodontics and dental procedures, Health Information Systems provides clinical documentation and data-management software for hospitals, and Purification and Filtration offers filtration technologies for biopharmaceuticals and dialysis membranes. It serves providers through direct sales, distributors, and e-commerce, and it holds a portfolio of over 7,300 patents, giving it a broad platform that combines devices, software, and filtration technologies. The company aims to streamline operations, strengthen its commercial model, and pursue growth through disciplined portfolio management and mergers and acquisitions to scale healthcare solutions globally.

Company size
10,001+
Company stage
IPO
Headquarters
Eagan, MN
Founded
2023

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