4 days ago
Base Salary
$96k - $168k/yr
Responsibilities
- Build and operate reusable AIOps and LLMOps capabilities for enterprise AI solutions on Microsoft Foundry, Azure Machine Learning, and Azure services.
- Automate the lifecycle of models, prompts, agents, retrieval components, datasets, evaluations, and deployment configurations.
- Create production automation using Python, PowerShell, Bash, C#, TypeScript, APIs, and infrastructure as code.
- Implement delivery workflows with CI/CD, testing, environment promotion, approvals, rollback, versioning, and traceability through Azure DevOps and/or GitHub Actions.
- Establish observability for AI quality, reliability, performance, cost, safety, and business outcomes using Azure Monitor, Application Insights, OpenTelemetry, and MLflow.
- Diagnose production issues and improve service health through alerts, runbooks, incident response, capacity planning, resiliency, and cost optimization.
- Apply security, identity, data protection, responsible AI, content safety, auditability, and governance controls.
- Collaborate with AI, data, application, cloud, security, and service management teams to transition solutions into supportable production services.
Requirements
- At least 3 years of experience in AI, data, cloud engineering, platform engineering, DevOps, MLOps, or consulting roles.
- At least 2 years of hands-on experience deploying or operating AI/ML or generative AI solutions using Microsoft Foundry/Azure AI Foundry, Azure Machine Learning, or comparable platforms.
- Strong software development and automation skills in Python, PowerShell, Bash, C#, TypeScript, or a comparable language.
- Practical experience with DevOps, MLOps, site reliability engineering, cloud operations, or production application support.
- Working knowledge of AI lifecycle practices including versioning, evaluation, observability, reliability, cost management, responsible AI, and incident response.
- Experience with Azure cloud services, APIs, Git, automated testing, infrastructure as code, application monitoring, identity, and secure cloud development.
- Strong organization, problem-solving, analytical, communication, collaboration, stakeholder management, and client-facing skills.
- Preferred qualifications include Microsoft certification in Azure AI, Azure DevOps, Azure administration, or a related area.
- Preferred experience includes management consulting or systems integration environments; Azure Kubernetes Service, Kubernetes, Docker, or Azure Container Apps; AI evaluation, tracing, telemetry, content safety, responsible AI, and production support models; and Bicep, Terraform, ARM templates, or comparable infrastructure-as-code technologies.
Benefits
- Medical, dental, vision, life, and long-term disability coverage.
- 401(k) plan, bonus opportunities, paid holidays, and paid time off.
- Flexible, client-centric work environment; evenings or weekends may periodically be required for project, client, or operational needs.
- Travel may be required based on client demand.
- The posting is anticipated to remain open until December 31, 2026.
Tech Stack
Categories
About Avanade
Avanade is the world’s leading expert on Microsoft. Trusted by over 7,000 clients worldwide, we deliver AI-driven solutions that unlock the full potential of people and technology, optimize operations, foster innovation and drive growth. As Microsoft’s Global SI Partner we combine global scale with local expertise in AI, cloud, data analytics, cybersecurity, and ERP to design solutions that prioritize people and drive meaningful impact. We champion diversity, inclusion, and sustainability, ensuring our work benefits society and business.