Data & AI Automation Engineer II

Teknik, data och digitalt · Data, AI och analys · Data engineering · Artificiell intelligens

I korthet

Microsoft is looking for a Data & AI Automation Engineer II to develop and maintain data pipelines, automate operational workflows, and integrate AI capabilities like GPTs and LLMs into their security platform. This hybrid role requires strong Python and SQL skills, experience with Azure services, and a focus on building secure, reliable, and scalable solutions. The position involves designing and operating data services, integrating AI agents, and ensuring operational excellence.

Ansvarsområden

Design and operate batch and near-real-time data pipelines using Azure data services, Fabric, Kusto, SQL, Python, and APIs.
Build intelligent systems for data quality, schema validation, lineage, metadata, and performance optimization.
Create reusable data products, semantic models, and APIs for self-service data access.
Redesign existing workflows into AI-native/integrated workflows.
Develop Python services, APIs, and event-driven workflows.
Automate pipeline monitoring, failure investigation, reporting, and recovery actions.
Build copilots and agents grounded in governed platform data.
Develop retrieval, prompt orchestration, agent tools, and reusable AI services.
Enable AI-assisted failure analysis and action for the data orchestration layer.
Implement telemetry, health dashboards, alerts, and anomaly detection.
Investigate and remediate incidents related to data, performance, and pipeline failures.
Translate business needs into scalable technical designs and deliver medium-complexity solutions.

Krav

Approximately 3–6 years of experience in data, software, AI, or automation engineering.
Strong Python and SQL skills with experience building production data pipelines or cloud-based processing systems.
Experience integrating systems through APIs or SDKs.
Experience applying testing, source control, CI/CD, and deployment practices.
Understanding of data modeling, quality, lineage, monitoring, security, and operational support.
Strong analytical, problem-solving, collaboration, and communication skills.
Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or equivalent practical experience.

Önskade kvalifikationer

Experience with Azure Synapse, Kusto/ADX and KQL, Microsoft Fabric, Azure Data Lake Storage, Databricks, or Spark.
Experience building GenAI applications, copilots, agents, RAG solutions, or Model Context Protocol integrations.
Familiarity with Azure OpenAI, Microsoft Foundry, agent frameworks, embeddings, vector or hybrid search, and AI evaluation.
Experience with FastAPI, Azure DevOps, Teams integrations, telemetry, incident management, and workflow automation.
Knowledge of managed identity, RBAC, secret management, data governance, privacy, compliance, and responsible AI.
Ability to independently own features, automation workflows, services, or data domains from design through production.
Ability to produce secure, maintainable, tested, observable, and scalable solutions with minimal supervision.
Ability to identify risks and dependencies early, deliver predictably, and resolve root causes.
Ability to build reusable capabilities, measure automation value, and check for existing solutions before creating new ones.
Ability to connect data, AI, governance, infrastructure, and operations to deliver measurable business value.
Ability to collaborate effectively and communicate clearly with engineering, product, and business stakeholders.

Förmåner

Competitive salary and benefits package.
Opportunity to work with cutting-edge technologies like Generative Pre-trained Transformers (GPTs), Large Language Models (LLMs), and Artificial Intelligence (AI).
Collaborative and inclusive work environment with a growth mindset.
Chance to impact billions of lives through innovative technology solutions.
Focus on personal and professional growth.

Färdigheter

PythonSQLAPIsAzureKustoKQLSparkGenAIRAGAzure OpenAIFastAPIAzure DevOpsCI/CD

#Data Engineering#AI#Automation#Cloud#Azure

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