The Cloud Engineer III is a senior platform engineer responsible for designing, building, and evolving WoodmenLife’s Azure cloud platform. This role owns key platform domains, operationalizes cloud standards and guardrails, and delivers secure, scalable, and automated solutions that support enterprise modernization.
Responsibilities
Lead design and engineering of complex Microsoft Azure platform solutions aligned with enterprise architecture standards
Own and evolve one or more Azure platform domains such as identity, networking, governance, or DevOps pipelines
Integrate hybrid cloud environments leveraging Azure networking and identity services
Lead Infrastructure as Code development using Bicep, PowerShell, and Azure CLI
Advance Azure Landing Zone components to support enterprise-scale, secure-by-default environments
Requirements
Bachelor’s degree
Nice to have: AZ-305: Microsoft Certified – Azure Solutions Architect Expert
Nice to have: AZ-400: Microsoft Certified – DevOps Engineer Expert
Nice to have: AZ-500: Microsoft Certified – Azure Security Engineer Associate
The Commercial AI Solutions Engineer helps Commercial Lines identify, develop, deploy, manage, and continuously improve AI agents and related solutions across Commercial Lines Underwriting, Safety and Loss Control (SLC), and Claims.
Werde Teil unseres Data & AI Teams und gestalte die Zukunft mit Agentic AI – als Schlüsseltechnologie für digitale Transformation und nachhaltige Innovation.
Responsibilities
Identifizieren von innovativen AI Use Cases und Begleitung deren Umsetzung von der technischen Konzeption bis zur Realisierung
Entwickeln und Implementieren maßgeschneiderter Agentic-AI-Lösungen für verschiedene Branchen auf Basis der Azure-Cloud
Bauen skalierbarer Plattformen, die autonome Workflows und intelligente Entscheidungsprozesse mit AI Agents ermöglichen und deren kontinuierliche Weiterentwicklung sicherstellen
Unterstützen der Kunden bei der Optimierung bestehender AI-Lösungen und Sicherstellen deren kontinuierlicher Verbesserung
Arbeiten eng mit interdisziplinären Teams zusammen und Wissen stets aktuell halten
Seeking a hands‑on AI / GenAI Architect / Senior Lead with strong experience designing and implementing enterprise‑scale Generative AI and Agentic AI solutions.
Drive the architecture, design, development, and delivery of enterprise-scale Generative AI and Agentic AI solutions.
Responsibilities
Assess business processes, existing applications, and enterprise data landscapes to identify opportunities for Generative AI and Agentic AI adoption.
Design and own end-to-end architecture for enterprise AI solutions, including LLM selection, agent frameworks, RAG pipelines, integrations, and orchestration.
Architect and implement Agentic AI solutions using LangGraph, MCP, and other modern AI frameworks.
Lead hands-on development and implementation of AI applications using Python and relevant AI technologies.
Design data ingestion, processing, retrieval, and vector database solutions to support enterprise AI applications.
Design the foundation that makes intelligent systems scale for our enterprise.
Compensation
Base Pay Range: $200,000 to $260,000 annually
An annual employee bonus program
Responsibilities
Define the end-to-end reference architecture for AI and data/storage systems across Azure AI Foundry, Azure AI Services, Azure AI Search, Azure Databricks/Fabric, and Snowflake.
Design integration blueprints for RAG workflows, data pipelines, agentic frameworks, and our enterprise GPT solution.
Establish standards for model deployment, versioning, prompt management, and telemetry within Azure AI Foundry.
Build and maintain scalable cloud environments for model training, evaluation, and inference.
Oversee vector database design (Azure AI Search or equivalent) and integration with Snowflake/Fabric data hubs.
Design, build, and operate secure, scalable products for Compensation Collection, Shadow Payroll, and Equity offerings in a regulated, multi‑jurisdictional environment.
Responsibilities
Build and evolve modern web experiences using Next.js, React, and TypeScript
Design and implement backend services and APIs with C#, .NET, and WebAPI
Deliver Azure‑native implementations of payroll and equity workflows
Contribute to system architecture and technical design for multi‑country payroll
Own production readiness including logging, monitoring, and incident response
Requirements
Bachelor’s degree in computer science, Engineering, or related field
Design, build, and operate secure, scalable products that power our Compensation Collection, Shadow Payroll, and Equity offerings for the world’s most complex multinational employers.
Responsibilities
Build and evolve modern web experiences for Compensation Collection, Shadow Payroll, and Equity products using Next.js, React, and TypeScript
Design and implement backend services and APIs using C#, .NET, and WebAPI
Deliver Azure-native implementations of shadow payroll calculation engines, compensation aggregation pipelines, and equity tax event workflows
Contribute to system architecture and technical design for multi-country payroll, compensation, and equity domains
Own production readiness for your work including logging, monitoring and alerting, reconciliation tooling, incident response support, and operational documentation
Requirements
Bachelor’s degree in computer science, Engineering, or related field required
The salary range for this job posting is $77,450.00 - $123,921.00 annually + bonus + benefits.
Responsibilities
Design, configure, test, deploy, monitor, maintain, and retire AI agents and workflows using Microsoft 365 Copilot, Copilot Studio, Power Platform, SharePoint, Teams, Dataverse, Azure AI services, and approved integrations.
Develop clear AI agent instructions, knowledge sources, prompts, actions, workflows, structured outputs, escalation paths, and reusable components.
Troubleshoot AI agent behavior, retrieval quality, permissions, integrations, workflow execution, and production issues; maintain appropriate technical and support documentation.
Monitor adoption, quality, usage, cost, feedback, and business outcomes, and continuously improve or consolidate solutions based on results.
Partner with leaders and subject-matter experts in Underwriting, SLC, and Claims to identify and prioritize high-value opportunities that improve efficiency, information access, documentation, decision support, profitability, and growth.
Requirements
Bachelor’s degree in computer science, business, or insurance field, or an equivalent combination of education and experience
Cloud Engineer IIINewWoodmenLife · Remote
AI Engineer (w/m/x) GermanyNewAvanade · Munich, Germany