Data Analytics Manager (AI Engineer - Generative & Agentic AI)

Microsoft
Redmond, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Tech stack

JavaScript
.NET
API
Artificial Intelligence
Azure
Microsoft Online Services
C Sharp (Programming Language)
Cloud Engineering
D3.js
Information Engineering
Data Governance
Data Hub
DevOps
JSON
Python
Performance Tuning
Power BI
Azure
Software Engineering
TypeScript
YAML
Highcharts
Scripting (Bash/Python/Go/Ruby)
Microsoft Power Automate
Retrieval-Augmented Generation
Large Language Models
Multi-Agent Systems
Prompt Engineering
Generative AI
Event Driven Architecture
Kubernetes
Data Analytics
GraphQL
Virtual Agents
Cloud Integration
REST
GPT
Automation Anywhere
Serverless Computing
Powerapps

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

  • Agentic AI Development: Design and deploy autonomous agents using Azure AI Agent Service and related tools. Define agent logic, goals, and collaboration flows.

  • End-to-End Ownership: Lead solutioning from design to deployment and scaling of multi-agent systems.

  • Cloud Integration: Leverage Azure services like AI Studio, OpenAI, Azure ML, Functions, and Kubernetes for deployment and orchestration.

  • Generative AI Use: Embed LLMs (e.g., GPT) where needed for summarization, Q&A, retrieval-augmented generation, or natural language tasks.

  • Enterprise Automation: Extend agent capabilities using Power Platform tools like Power Automate, Power Apps, and Dataverse.

  • Innovation & Reusability: Contribute to internal R&D, reusable assets, and share learnings across teams.

Requirements

  • 3-6 years in software engineering or AI/ML development, including 1-2 years with agent-based AI.

  • Strong proficiency in Python for AI workflows, APIs, and automation.

  • Experience deploying AI using Microsoft's Azure AI stack (AI Studio, Azure ML, OpenAI, Agent Service).

  • Understanding of agent orchestration, stateful logic, decision systems, and tool-using agents.

  • Familiarity with prompt engineering, RAG, or LLM fine-tuning.

  • Knowledge of cloud-native architecture, APIs, event-driven systems, and secure deployments.

Technical Skills

  • Python: Core scripting for pipelines, agent logic, and orchestration.

  • JavaScript/TypeScript: For AI-embedded apps (e.g., Power Apps extensions, web integrations).

  • Power Fx, DAX, M: For Power Platform and Power BI customizations.

  • API & Data Standards: JSON, YAML, REST, GraphQL, Microsoft Graph.

  • C#/.NET (Preferred): Useful for Azure Functions and Bot Framework.

  • 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.

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