Data Analytics Manager (AI Engineer - Generative & Agentic AI)
Role details
Job location
Tech stack
Job description
We're looking for an AI Engineer to lead the design and deployment of Agentic AI solutions using the Microsoft Azure AI ecosystem. Your primary focus will be on building autonomous multi-agent systems that reason, act, and collaborate to solve complex tasks.
Generative AI (LLMs like GPT) will complement your work but is not the core. You'll drive AI-powered automation by integrating Azure AI tools with enterprise systems and workflows.
You'll work closely with business, data engineering, architecture, and DevOps teams to deliver intelligent, scalable, and secure AI solutions
Responsibilities
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Agentic AI Development: Design and deploy autonomous agents using Azure AI Agent Service and related tools. Define agent logic, goals, and collaboration flows.
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End-to-End Ownership: Lead solutioning from design to deployment and scaling of multi-agent systems.
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Cloud Integration: Leverage Azure services like AI Studio, OpenAI, Azure ML, Functions, and Kubernetes for deployment and orchestration.
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Generative AI Use: Embed LLMs (e.g., GPT) where needed for summarization, Q&A, retrieval-augmented generation, or natural language tasks.
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Enterprise Automation: Extend agent capabilities using Power Platform tools like Power Automate, Power Apps, and Dataverse.
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Innovation & Reusability: Contribute to internal R&D, reusable assets, and share learnings across teams.
Requirements
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3-6 years in software engineering or AI/ML development, including 1-2 years with agent-based AI.
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Strong proficiency in Python for AI workflows, APIs, and automation.
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Experience deploying AI using Microsoft's Azure AI stack (AI Studio, Azure ML, OpenAI, Agent Service).
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Understanding of agent orchestration, stateful logic, decision systems, and tool-using agents.
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Familiarity with prompt engineering, RAG, or LLM fine-tuning.
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Knowledge of cloud-native architecture, APIs, event-driven systems, and secure deployments.
Technical Skills
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Python: Core scripting for pipelines, agent logic, and orchestration.
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JavaScript/TypeScript: For AI-embedded apps (e.g., Power Apps extensions, web integrations).
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Power Fx, DAX, M: For Power Platform and Power BI customizations.
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API & Data Standards: JSON, YAML, REST, GraphQL, Microsoft Graph.
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C#/.NET (Preferred): Useful for Azure Functions and Bot Framework.
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Visualization (Nice to have): Custom Power BI visuals using D3.js or Chart.js.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
About the company
Microsoft is a global technology company headquartered in Redmond, Washington. Our mission is to empower every person and every organization on the planet to achieve more. We develop, license, and support a wide range of software products, services, and devices that help individuals and businesses realize their full potential.
Our flagship products include the Microsoft 365 productivity cloud, Windows operating system, Azure cloud platform, and Dynamics 365 business applications. We are also a leader in areas such as artificial intelligence, cybersecurity, developer tools, and gaming through Xbox and Game Pass.
With operations in more than 190 countries and over 220,000 employees worldwide, Microsoft is committed to responsible innovation, inclusive economic growth, and sustainability. We work closely with governments, industries, and communities to ensure that technology serves the public good and helps address some of the world’s most pressing challenges.
As we celebrate our 50th anniversary in 2025, we continue to look forward—investing in AI, cloud, and quantum computing to shape the future of work, education, and society at large scale.