Job Title: Azure Cloud Engineer - AI/ML Services (L3)
City: Redmond
State/Province: Washington
Posting Start Date: 6/18/26
Job Description:
Job DescriptionAzure Cloud Engineer - AI/ML Services (L3) Experience - 6+ YearsKey Responsibilities- Develop, integrate, and deploy AI features using Microsoft Azure AI services (including GenAI capabilities) into enterprise applications and APIs.
- Perform prompt engineering, evaluation, and fine-tuning activities to improve accuracy, relevance, and response quality for business scenarios.
- Implement and operate MLOps practices: model packaging, versioning, release management, and controlled rollout to production.
- Provide L2 support for customer issues: triage incidents, troubleshoot model/API errors, diagnose latency/timeouts, handle quota/config issues, and coordinate fixes with L3/product teams.
- Monitor AI services in production (availability, latency, throughput, cost) and recommend optimizations for reliability and cost efficiency.
- Maintain operational excellence: RCA, knowledge base articles, runbooks, automation scripts, and continuous improvement to reduce repeat incidents.
- Work within Agile delivery, using Git and CI/CD to ensure consistent engineering quality and deployment discipline.
Required Skills & Experience- Strong hands-on experience with Azure cloud services (provisioning, configuration, security basics, and troubleshooting).
- Working knowledge of GenAI/LLMs, including prompt design, evaluation, and tuning approaches.
- Familiarity with Azure ML/MLOps concepts and managing model lifecycle activities in an enterprise context.
- Good debugging skills across APIs, logs, metrics, and distributed systems; strong customer-facing communication for incident handling.
Mandatory Skills: Cloud-Microsoft Azure.
Experience: 5-8 Years.
The expected compensation for this role ranges from $60,000 to $148,500 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
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