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.

Job Family Overview:

Focus on (Cloud and On-Premise) deployments of Dynamics 365, including all related configurations, Azure DevOps setup, Azure services configuration and environment monitoring and maintenance.

Job Overview:

Responsible for designing and implementing AX systems and cloud infrastructure, operating systems, networking, security and systems management architectures/solutions that enable effective client operations and collaboration.​

Key Accountabilities:

• Creation of build automation and/or build guides for solid, repeatable server builds and deployments
• Deploy enterprise-wide messaging and collaboration solutions to lower administrative costs and enhance end-user productivity
• Collect, identify, define and organize detailed user and systems requirements. Coordinate and collaborate with others to ensure plans and identified solutions meet the customer needs and expectations
• Monitor performance and analyze statistics to identify and resolve system problems
• Establish and maintain security including AX Security, integrity and business continuity controls and documents
• Responsible for the design of the AX technical infrastructure and integration in Customer existing environment
• works with Customer IT Operation management
• Designs performance framework and high availability architecture, designs and run performance benchmarks on critical business transactions

Key Role Skill & Capability Requirements:

Global skill requirements to come; speak to hiring manages, capability leads, and region Talent Community champions for needs in local market.

Preferred Certifications:Preferrred Education Background:

You will likely posess a Bachelor's degree or equivalent in relevt field.

Preferred Years of Work Experience:

3-4 years of relevant experience.

Preferred Years of Management Experience:Scope of Work:

Nature of Work: Executes project/program plans and processes in alignment with established operational objectives.Scope of Work: Work must be coordinated across different workstreams, processes, or projects.Complexity: Complex problems that can span across work domains requiring considerable judgement of contextual factors.Discretion: Wide latitude in approach to work within established work plans.Organizational Impact: Work efforts have an immediate impact on Avanade and/or client operations. If client-facing, should start to support client relationship and sales outcomes.Supervision Received: Works under general guidance and direction, but fully independent in own work with latitude for autonomous decision-making related to work process.Supervision Provided: Supports more junior colleagues on work efforts, with routine supervision of work efforts. May serve as Career Advisor.Knowledge Applied: Applies advanced knowledge of a learned occupation / discipline and basic knowledge of business operations.

Key Performance Indicators:Relevant Additional Details:

This field is reserved for any additional details that may not be globally relevant and consistently vary on a position-by-position basis.

Job Description:

[MULTIPLE POSITIONS] Avanade Inc. seeks Azure Data Engineers in Chicago, IL to deliver analytics and data engineering solutions to our clients. In this role, you will: design and set-up projects that bring together information from a variety of sources to enable analysis and decision-making; utilize personal knowledge to plan and deliver data warehouse and storage; take part in designing and running bespoke data services to individual projects; design, develop, adapt, and maintain data warehouse architecture and relational databases to support data mining; customize storage and extraction, meta-data, and information repositories; create and use effective metrics and monitoring processes; monitor key performance indicators to determine where current operations can be improved, and identify the causes of any problems; create the building blocks for transforming enterprise data solutions; design and build modern data pipelines, data streams, and data service Application Programming Interfaces (APIs); and create and maintain report forms and formats, information dashboards, reports, as well as other information portals and resources. Periodic travel to client sites (domestic) is expected up to 60% of the time. Must live w/in reasonable commuting distance of Chicago, IL. The offered salary range for this specific position in IL is $133,058.00 to $139,500.00 per year. Any multi-state or general compensation ranges displayed below do not apply to this position.

We anticipate this job posting will be posted on 11/03/2026 and open for at least 30 days.

Avanade offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: www.avanade.com/en-us/career/benefits