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Solventum
Solventum
ConsultingHealthcareLogistics
Solventum develops healthcare technologies and services designed to support safer, more efficient medical and oral care. Its portfolio includes advanced wound care, surgical and sterilization solutions, oral care products, health information and technology services, and purification and filtration systems for biopharmaceutical applications. The company also supports healthcare professionals through education and training resources, combining product development with a focus on patient safety, clinical outcomes, and operational efficiency.
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Senior AI Cloud Engineer

Build secure Azure platforms for Solventum’s healthcare AI solutions, taking cloud-native systems from proof of concept to production. Work with Generative AI, RAG, and enterprise integrations in regulated environments.

INIndiaHybridFull-timeSeniorLeadEnglish RequiredCloud Engineer
AzureCloudCyber SecurityDistributed SystemsDockerPythonTerraformVault

Description

  • Take cloud-native AI solutions from proof of concept through production deployment.
  • Build and operate scalable AI application infrastructure with Azure, containers, and modern engineering practices.
  • Implement and support Generative AI, RAG, Agentic AI, and automation solutions across enterprise functions.
  • Create and maintain API integrations with Microsoft Graph, SharePoint, Microsoft Fabric, Snowflake, Power BI, and other business applications.
  • Work with AI and data engineers, architects, cybersecurity teams, and business stakeholders.
  • Build CI/CD pipelines, automated deployments, monitoring, and operational practices for AI workloads.
  • Deploy and operate AI applications on Azure Container Apps and other cloud-native services using infrastructure automation.
  • Meet enterprise security, governance, responsible AI, and regulatory requirements.
  • Support platform standardization, architecture reviews, technical documentation, and cloud engineering practices.
  • Travel domestically up to 20%.

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 relevant experience; alternatively, a high school diploma or GED plus 10 years of relevant experience.
  • Proficiency in Python and modern API 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 and cloud deployment patterns.
  • Experience implementing CI/CD with 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 and Microsoft Graph APIs, SharePoint services, and cloud data platforms.
  • Familiarity with Microsoft Fabric, Snowflake, and Power BI integration architectures.
  • Strong understanding of cloud security, 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.
  • Experience with multi-agent orchestration frameworks, autonomous AI systems, and advanced LLM application architectures.
  • Knowledge of Responsible AI, model evaluation, enterprise governance, compliance, and risk management.
  • 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 sectors 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.
  • May need licenses, vaccinations, or other credentials or qualifications to enter healthcare or third-party facilities.

Benefits

  • Competitive pay and benefits.
  • Programs that support physical and financial well-being.
  • Hybrid work arrangement.

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