AI engineer
AI engineer
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Job Description
We are seeking a dynamic and technically strong AI Lead with 68 years of industry experience including a minimum of 5 years in AI/ML and Conversational AI technologies with a specific focus on Microsofts AI ecosystem. The ideal candidate will lead the design development and delivery of intelligent solutions using Azure OpenAI Copilot Studio Microsoft Bot Framework and AI Foundry.
Key Responsibilities:Lead end-to-end technical implementation of AI-driven projects using Microsoft AI tools: Azure OpenAI Copilot Studio and Bot and develop intelligent copilots multi-turn chatbots and custom GPT solutions integrated within enterprise tools such as Microsoft Teams SharePoint and Dynamics business requirements into technical architecture and AI flows using OpenAI APIs prompt engineering and integration with enterprise AI Foundry to manage the AI lifecycle including model selection deployment monitoring and AI/ML solutions that use Retrieval-Augmented Generation (RAG) semantic search and contextual memory frameworks (LangChain Semantic Kernel etc.).Collaborate with product owners and business analysts to identify high-value use cases and define solution and execute POCs and MVPs with hands-on coding configuration and orchestration of LLMs and chatbot with enterprise data sources via APIs GraphQL and Microsoft Graph to create holistic user junior developers and work with DevOps teams to ensure stable deployment CI/CD and performance documentation and reusable components/templates for repeated use across the current on Microsofts AI advancements and recommend tools features or practices that improve time-to-value and performance.Must-Have Skills:68 years of overall experience including 5 years in AI/ML or Conversational AIDeep hands-on knowledge of:Azure OpenAI services and APIsCopilot Studio for building Microsoft 365-integrated assistantsMicrosoft Bot Framework SDK/Composer for chatbot developmentPrompt engineering for LLM optimizationStrong Python or development skills (for AI orchestration and integration)Experience with enterprise system integration using APIs (Microsoft Graph REST JSON OAuth)Familiarity with Azure ML Azure Cognitive Services and Azure DevOpsAbility to design RAG-based architectures manage embeddings and leverage vector databases (e.g. Azure AI Search)Strong understanding of natural language processing (NLP) and foundational models (GPT BERT)Excellent communication leadership and stakeholder engagement capabilitiesGood-to-Have Skills:Experience with Semantic Kernel or LangChainWorking knowledge of AI Foundry for orchestrating AI pipelinesFamiliarity with Copilot extensibility and Teams App StudioExposure to M365 Copilot APIs and custom plugin creationKnowledge of Responsible AI data security and compliance principlesFamiliarity with containerized deployment (Docker Kubernetes)Experience in building dashboards and analytics (Kibana Grafana) to visualize bot usage and performanceBasic understanding of Power Platform (Power Automate Power Apps) and its integration with AI
Employment Type
CONTRACT
