{"id":3163737,"url":"https://alion.io/job/ibm-gen-ai-engineer-azure","title":"Gen AI Engineer (Azure)","company":{"id":86,"name":"IBM","domain":"ibm.com","url":"https://alion.io/company/ibm","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"IBM Careers","truth_index":{"grade":"A","score":100,"open_postings":21,"ghost_share":0,"stale_share":0,"repost_share":0.048,"time_to_fill_p50_days":15,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GraphQL","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Azure Cosmos DB","optional":true},{"name":"Databricks","optional":true},{"name":"Git","optional":true},{"name":"Kubernetes","optional":true},{"name":"Machine Learning","optional":true},{"name":"Microsoft Entra ID","optional":true},{"name":"pgvector","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Scrum","optional":true}],"status":"live","first_seen_at":"2026-10-23T16:35:30Z","employer_posted_date":null,"last_verified_at":"2026-10-23T16:35:30Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are looking for an experienced Azure Generative AI Engineer to design, develop, and deploy enterprise-grade AI applications using the Microsoft Azure AI ecosystem. The ideal candidate should possess strong expertise in Azure OpenAI, Azure AI Foundry, Azure AI Search, Python, agentic AI, retrieval-augmented generation (RAG), API development, containerisation, and CI/CD. The role involves building scalable, secure, and production-ready AI solutions while adhering to Responsible AI, governance, and enterprise security best practices.\n\nResponsibilities: \nDesign, develop, and deploy enterprise generative AI applications using Azure OpenAI and the Azure AI ecosystem.\nBuild AI agents and agentic AI workflows for enterprise automation and intelligent business processes.\nDevelop Retrieval-Augmented Generation (RAG) solutions using Azure AI Search, vector databases, and Large Language Models (LLMs).\nIntegrate AI applications with enterprise platforms through REST and GraphQL APIs.\nDesign scalable AI architectures leveraging Azure AI Foundry, Azure AI Search, and Azure services.\nDeploy AI applications using Docker, Azure Kubernetes Service (AKS), Azure App Services, and Azure Functions.\nDevelop and maintain CI/CD pipelines using GitHub Actions and Azure DevOps best practices.\nImplement enterprise security using Azure Key Vault, Managed Identity, RBAC, and secure authentication mechanisms.\nMonitor, optimise, and troubleshoot AI applications for scalability, performance, reliability, and cost efficiency.\nEnsure Responsible AI, compliance, governance, privacy, and enterprise security standards are followed.\nCollaborate with solution architects, data engineers, DevOps engineers, and business stakeholders to deliver production-ready AI solutions.\nParticipate in Agile development, code reviews, technical documentation, and continuous improvement initiatives.\n\nRequirements: \n8-12 years of IT experience with 4+ years of relevant experience in generative AI, Azure AI, or AI/ML application development.\nStrong programming expertise in Python.\nHands-on experience with Azure OpenAI, Azure AI Foundry, and Azure AI Search.\nExperience building AI agents and agentic AI workflows.\nStrong understanding of Retrieval-Augmented Generation (RAG) and LLM-based application development.\nExperience developing and integrating REST and GraphQL APIs.\nHands-on experience with Docker, Azure Kubernetes Service (AKS), Azure App Services, and Azure Functions.\nExperience implementing CI/CD pipelines using GitHub Actions.\nKnowledge of enterprise cloud architecture and Azure deployment best practices.\nGood understanding of Responsible AI, enterprise governance, security, and compliance.\n\nPreferred Skills: \nExperience with Azure Cognitive Services and Azure Machine Learning.\nKnowledge of vector databases, including Azure AI Search Vector Index, Azure Cosmos DB, or PostgreSQL (pgvector).\nExperience with Databricks and enterprise AI platforms.\nFamiliarity with Azure Key Vault, Managed Identity, RBAC, and Microsoft Entra ID authentication.\nExperience deploying production-scale AI applications in Azure cloud environments.\nKnowledge of monitoring tools such as Azure Monitor, Application Insights, and Log Analytics.\nExperience working in Agile/Scrum development environments.\nTools and Technologies: Azure OpenAI, Azure AI Foundry, Azure AI Search, Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents / Agentic AI, REST APIs, GraphQL APIs, Docker, Azure Kubernetes Service (AKS), Azure App Services, Azure Functions, GitHub Actions, Azure Key Vault, Azure RBAC, Managed Identity, Azure Cosmos DB, PostgreSQL (pgvector), Databricks, Git, Agile / Scrum, Domain, Generative AI, Azure AI, Artificial Intelligence and Machine Learning, Enterprise AI Solutions, Cloud Engineering, Agentic AI, and Retrieval-Augmented Generation (RAG).\nBachelor's or master's degree in computer science, information technology, artificial intelligence, data science, or a related discipline.\nKey Skills: Azure OpenAI, Azure AI Foundry, Azure AI Search, Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agent development, agentic AI, REST APIs, GraphQL APIs, Docker, Azure Kubernetes Service (AKS), Azure App Services, Azure Functions, GitHub Actions, Azure Key Vault, managed identity, Azure RBAC, Databricks, Azure Machine Learning, responsible AI, and enterprise AI deployment.\nSkills\nAzure, Azure OpenAI, Microsoft Azure, OpenAI, Python","description_format":"text","description_chars":4486,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["LLM & Generative AI","Quantum Science & Computing","Servers & Data Center Hardware","Quantum Computing Hardware"],"lifecycle":[{"event":"open","at":"2026-10-23T16:35:30Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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