Summary

Our fast, client-focused, dynamic environment wants your consulting management skills and desire to make a difference. Use Avanade’s tech, innovation and leadership to make a genuine human impact. Enjoy seeing an impact on clients, too, as you solve interesting challenges in a way that’s flexible to your approach to work—and life. Chart your own career path with us.

The Azure Cloud Architect supports cloud solution design, pre-sales activities, and hands-on delivery under senior architect guidance. This role requires strong Azure technical fundamentals, the ability to participate in client discussions, and active involvement in implementation projects. Together we do what matters.

Key responsibilities

Pre-Sales & Solution Architecture

• Support cloud architecture design for proposals and client requests.
• Assist in solution documentation, diagrams, cost estimates, and technical clarifications.
• Participate in technical presentations and client workshops.

Governance, Security & Operations

• Implement Azure governance controls (RBAC, Policy, tagging).
• Support monitoring, backup, and operational readiness.
• Ensure designs align with security and compliance requirements.

Documentation & Collaboration

• Produce architecture diagrams, HLD/LLD documents, and SOPs.
• Collaborate with infra, DevOps, application, and security teams.

アドバイザリーサービスの未来を共に築きましょう。クライアントへの価値提供を通じて、市場をリードする存在となることができます。 

一緒に働きましょう

アバナードのアドバイザリー部門は、クライアントの経営・業務・ITを横断的に支援する役割を担っています。今後、公共領域においては、クライアントと共に実務を推進し、かつ戦略的に全体最適を図ることのできるPMO人材を継続的に確保・育成することが急務です。そのため今回、さらなる体制強化のためにPMOを募集いたします。

【業務詳細】

Manager職としては、クライアントやプロジェクトの現場でのデリバリーを中心とするか、案件獲得に向けた企画・提案を中心とするかで業務詳細が異なります。

■デリバリー中心型

クライアントやプロジェクトの現場に入り込み、計画策定から実行支援するPMOとして、以下の業務を担います。

• プロジェクト統制
• 課題・リスク管理
• 品質管理・テスト支援
• 移行・運用立上げ支援
• 会議体運営・調整
• 発注者・ベンダー間の調整・合意形成のファシリテーション

■提案中心型

提案・企画段階からの支援・業務を担います。

• 調達仕様書対応支援
• 構想策定・案件企画
• 案件立上げ支援

アバナードで働くことの魅力

• マイクロソフトテクノロジーを活用したソリューションを展開するリーディングカンパニーで働くこと
• 19度目のマイクロソフト グローバル SI パートナー アワードを受賞（2024年） 
• 充実したトレーニングプログラム（年間80時間以上、認定資格取得への支援） 
• テクノロジーやスキル向上のための豊富なグローバルリソースの活用 
• 全ての社員のキャリアを支援するキャリアアドバイザー制度
• 風通しが良く、チームワークで仕事を進められる環境

働きやすい職場

アバナードには、あなたがお持ちの優れた知見を遺憾なく発揮できる環境であるだけではなく、先進的な技術を活用した新たな経験やテクノロジーに対する強い情熱を満たすことができるトレーニングプログラムなど、プロフェッショナルとしての更なる成長を遂げることができる数多くの機会が存在します。

アバナードは、インクルージョン＆ダイバーシティ（I&D）の文化の醸成に力を注ぎ、この多様性を通じて、革新性や創造性を培い、クライアントや社会に貢献しています。

豊富な経験を持つ60,000人以上のプロフェッショナルが世界中におり、相互に協力しながらプロジェクトを遂行するチームワークのカルチャーの中で、継続的に学ぶことができるトレーニングプログラムやキャリアアドバイザー制度を活用しながら、新たなキャリアを進んでいただくことができます。 

チームワーク、新たなテクノロジーの習得を通じて、クライアントの問題解決に応えるアバナードは、その先で私達の仕事の結果、人の働き方、コミュニケーションやコラボレーションなど真のヒューマンインパクトをもたらせることができるかを原動力に日々活躍しています。

AI Engineer – Azure AI Foundry

Experience

4 – 6 years

Level

Mid-Level

Location

Delhi / Mumbai / Bangalore (India)

Employment Type

Full-time

Primary Skills

Azure AI Foundry, RAG, AI Agents, AI / ML

Role Summary

We are looking for an AI Engineer with hands-on experience in building Generative AI solutions on Microsoft Azure. You will design and develop Retrieval-Augmented Generation (RAG) pipelines and AI agents using Azure AI Foundry, working within a team under the guidance of senior engineers and architects, and contribute to production-grade AI/ML solutions for enterprise clients.

Key Responsibilities

• Develop and deploy RAG-based applications using Azure AI Foundry, Azure OpenAI, and Azure AI Search.

• Build AI agents using Azure AI Foundry Agent Service, including tool/function calling and basic multi-step workflows.

• Implement document ingestion pipelines: parsing, chunking, embedding generation, and vector indexing.

• Write and iterate on prompts; apply prompt engineering techniques to improve answer quality and reduce hallucinations.

• Build, train, and evaluate classical ML / deep learning models for classification, forecasting, NLP, or similar use cases.

• Expose AI capabilities through REST APIs (FastAPI / Flask) and integrate them with front-end and enterprise systems.

• Run evaluation of RAG and agent outputs (groundedness, relevance, accuracy) using Azure AI Foundry evaluation tools.

• Write clean, tested, well-documented code and participate in code reviews.

• Collaborate with product owners, data engineers, and QA teams to deliver sprint commitments.

Required Skills & Experience

• 4 – 6 years of total experience in software / data / AI engineering, with at least 1.5 – 2 years in Generative AI.

• Hands-on experience with Azure AI Foundry (model catalog, deployments, prompt flow, evaluations).

• Practical experience building RAG solutions end to end (embeddings, chunking, vector search, retrieval, re-ranking basics).

• Experience building AI agents using Azure AI Foundry (Agent Service) or frameworks such as Semantic Kernel, LangChain, or AutoGen.

• Strong Python programming skills; good understanding of REST APIs and JSON.

• Working knowledge of AI/ML fundamentals: supervised / unsupervised learning, model evaluation, feature engineering, scikit-learn, and PyTorch or TensorFlow.

• Familiarity with Azure services: Azure OpenAI, Azure AI Search, Blob Storage, Azure Functions, Key Vault.

• Working knowledge of Git and CI/CD basics.

AI Engineer – Azure AI Foundry

Experience

4 – 6 years

Level

Mid-Level

Location

Delhi / Mumbai / Bangalore (India)

Employment Type

Full-time

Primary Skills

Azure AI Foundry, RAG, AI Agents, AI / ML

Role Summary

We are looking for an AI Engineer with hands-on experience in building Generative AI solutions on Microsoft Azure. You will design and develop Retrieval-Augmented Generation (RAG) pipelines and AI agents using Azure AI Foundry, working within a team under the guidance of senior engineers and architects, and contribute to production-grade AI/ML solutions for enterprise clients.

Key Responsibilities

• Develop and deploy RAG-based applications using Azure AI Foundry, Azure OpenAI, and Azure AI Search.

• Build AI agents using Azure AI Foundry Agent Service, including tool/function calling and basic multi-step workflows.

• Implement document ingestion pipelines: parsing, chunking, embedding generation, and vector indexing.

• Write and iterate on prompts; apply prompt engineering techniques to improve answer quality and reduce hallucinations.

• Build, train, and evaluate classical ML / deep learning models for classification, forecasting, NLP, or similar use cases.

• Expose AI capabilities through REST APIs (FastAPI / Flask) and integrate them with front-end and enterprise systems.

• Run evaluation of RAG and agent outputs (groundedness, relevance, accuracy) using Azure AI Foundry evaluation tools.

• Write clean, tested, well-documented code and participate in code reviews.

• Collaborate with product owners, data engineers, and QA teams to deliver sprint commitments.

Required Skills & Experience

• 4 – 6 years of total experience in software / data / AI engineering, with at least 1.5 – 2 years in Generative AI.

• Hands-on experience with Azure AI Foundry (model catalog, deployments, prompt flow, evaluations).

• Practical experience building RAG solutions end to end (embeddings, chunking, vector search, retrieval, re-ranking basics).

• Experience building AI agents using Azure AI Foundry (Agent Service) or frameworks such as Semantic Kernel, LangChain, or AutoGen.

• Strong Python programming skills; good understanding of REST APIs and JSON.

• Working knowledge of AI/ML fundamentals: supervised / unsupervised learning, model evaluation, feature engineering, scikit-learn, and PyTorch or TensorFlow.

• Familiarity with Azure services: Azure OpenAI, Azure AI Search, Blob Storage, Azure Functions, Key Vault.

• Working knowledge of Git and CI/CD basics.