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Avanade

Digital transformation, cloud, and IT consulting.

AI Engineer - Azure AI Foundry

Applied Machine LearningUpdated on Nov 12
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Four to six years of total experience in software, data, or AI engineering, including at least 1.5 to 2 years in generative AI.
  • Hands-on experience with Azure AI Foundry, including its model catalog, deployments, prompt flow, and evaluations.
  • Practical experience building end-to-end Retrieval-Augmented Generation solutions, including embeddings, chunking, vector search, retrieval, and basic reranking.
  • Experience building AI agents using Azure AI Foundry Agent Service or frameworks such as Semantic Kernel, LangChain, or AutoGen.
  • Strong Python programming skills and a good understanding of REST APIs and JSON.
  • Working knowledge of artificial intelligence and machine learning fundamentals, including supervised and unsupervised learning, model evaluation, feature engineering, scikit-learn, and PyTorch or TensorFlow.
  • Familiarity with Azure OpenAI, Azure AI Search, Blob Storage, Azure Functions, and Key Vault.
  • Working knowledge of Git and continuous integration and continuous delivery basics.
  • A degree in Computer Science, Data Science, AI/ML, or a related field, with the stated eligible qualifications including B.E., B.Tech, M.E., M.Tech, MCA, or M.Sc.
  • Good written and verbal communication, including the ability to explain technical work to non-technical stakeholders.

Responsibilities

  • Develop and deploy Retrieval-Augmented Generation applications using Azure AI Foundry, Azure OpenAI, and Azure AI Search.
  • Build AI agents using Azure AI Foundry Agent Service, including tool or function calling and basic multi-step workflows.
  • Implement document ingestion pipelines for parsing, chunking, embedding generation, and vector indexing.
  • Write and iterate on prompts, applying prompt engineering techniques to improve answer quality and reduce hallucinations.
  • Build, train, and evaluate classical machine learning and deep learning models for classification, forecasting, natural language processing, or similar use cases.
  • Expose AI capabilities through REST APIs using FastAPI or Flask, and integrate them with front-end and enterprise systems.
  • Evaluate Retrieval-Augmented Generation and agent outputs for groundedness, relevance, and accuracy using Azure AI Foundry evaluation tools.
  • Write clean, tested, and well-documented code and participate in code reviews.
  • Collaborate with product owners, data engineers, and quality assurance teams to deliver sprint commitments.

Desired Qualifications

  • Azure certifications such as AI-102, DP-100, or AZ-204.
  • Exposure to Azure Machine Learning, Azure Databricks, or Microsoft Fabric.
  • Experience with Docker and basic Kubernetes or Azure Container Apps.
  • Exposure to responsible AI practices and content safety.
  • An ownership mindset and eagerness to learn fast-evolving AI tools.

About the Company

Avanade

Digital transformation, cloud, and IT consulting.

Avanade helps large organizations move to digital operations using Microsoft-based solutions. It combines consulting, implementation, and managed services to deliver digital transformation, cloud migration, and optimized business processes. Its offerings are built around the Microsoft ecosystem, with partnerships with Microsoft and Accenture enabling tailored, enterprise-grade deployments. Avanade differentiates itself by aligning technology delivery with business outcomes for enterprise and public sector clients, focusing on long-term service contracts and customized design-led experiences. The company's goal is to drive efficiency, improve customer experiences, and support sustainable growth for clients through technology-enabled transformation.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Seattle, WA
Founded
2000

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