Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Microsoft Purview Agents Platform team comprises of talented engineers dedicated to developing innovative software Agents using cutting-edge technologies such as Generative Pre-trained Transformers (GPTs), Large Language Models (LLM), and Artificial Intelligence (AI). Our mission is to empower customers to harness the power of AI and GPTs to meet their digital data security and compliance needs, more efficiently. As a large-scale cloud service, we leverage state-of-the-art Azure technology to deliver robust, reliable, and scalable solutions. Our team collaborates closely, employing innovative technologies and methodologies to streamline workflows and enhance productivity. We prioritize quality, security, and privacy, ensuring that every feature meets the highest standards. We look forward to leading the transformation in how organizations safeguard and manage their data. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

We are seeking a hands-on Data & AI Automation Engineer II to build and operate shared data, automation, and AI capabilities for the Msec Unified data platform. You will develop reliable data pipelines, automate operational workflows, integrate copilots and intelligent agents, and create reusable services that make governed Platform data easier to discover and use .

Key Responsibilities Data and Platform Engineering

• Design and operate batch and near-real-time pipelines using Azure data services, Fabric ,Kusto, SQL, Python, and APIs. 
• Build governed ingestion, transformation, allocation, and serving layers for cost, spend, utilization, efficiency, customer, and operational data.
• Build intelligent systems for data quality, schema validation, lineage, reconciliation, metadata, freshness monitoring, and performance optimization.
• Create reusable data products, semantic models, APIs, and self-service interfaces with clear definitions and ownership.
• Redesign existing workflows into AI native /Integrated workflow 

Automation and Software Development.

• Develop Python services, APIs, command-line tools, scheduled jobs, and event-driven workflows.
• Automate pipeline monitoring, data validation, failure investigation, reporting, notifications, and approved recovery actions
• Replace spreadsheet-dependent and repetitive operational processes with governed automation
• Apply and automate source control, testing, code reviews, CI/CD, secure configuration, documentation, and production-readiness practices.

 AI, Copilot, and Agent Integration

• Build copilots and agents grounded in governed Platform data and connected to Kusto, APIs, knowledge sources, and operational systems. Enabling near real time support to platform users and responses on bugs.
• Develop retrieval, prompt orchestration, agent tools, MCP integrations, reusable AI services, and evaluation frameworks
• Enable AI-assisted failure analysis & action for Data orchestrations layer.
• Ensure AI solutions are secure, observable, evaluated, cost-conscious, and compliant with data and responsible-AI requirements. Reliability and Operational Excellence
• Implement telemetry, health dashboards, alerts, data-freshness controls, anomaly detection, and automated status reporting.
•  .Investigate incidents, missing or stale data, schema changes, performance issues, and pipeline failures; drive root-cause remediation.
•  Improve platform availability, scalability, supportability, and cost efficiency while reducing manual operational effort. Partnership and Ownership.
• Translate business and operational needs into scalable technical designs and independently deliver medium-complexity solutions.

Preferred Qualifications

• 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. Success Expectations

• Independently owns features, automation workflows, services, or data domains from design through production.

• Produces secure, maintainable, tested, observable, and scalable solutions with minimal supervision.

• Identifies risks and dependencies early, delivers predictably, and resolves root causes rather than symptoms.

• Builds reusable capabilities, measures automation value, and checks for existing solutions before creating new ones.

• Connects data, AI, governance, infrastructure, and operations to deliver measurable business value.

• Collaborates effectively and communicates clearly with engineering, product, and business stakeholders.

• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or equivalent practical experience.

• 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 and 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.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.