Artificial Intelligence Engineer (GenAI Engineer)

The Generative AI Engineer will design, build, and deploy AI solutions for clients using Azure OpenAI Service, Microsoft Copilot Studio, and related technologies.

Responsibilities

• Assess client business challenges and identify opportunities to leverage Generative AI and intelligent automation solutions.
• Design and implement AI-powered applications using Large Language Models (LLMs), Azure OpenAI Service, and Microsoft AI technologies.
• Build and optimize Retrieval-Augmented Generation (RAG) solutions integrating enterprise knowledge sources and vector databases.
• Develop AI Agents and Copilot experiences using Microsoft Copilot Studio and related technologies.
• Collaborate with clients and stakeholders to define AI use cases, business value, success metrics, and adoption strategies.
• Design prompts, evaluation frameworks, and guardrails to ensure responsible, secure, and reliable AI solutions.
• Work with multidisciplinary teams to deploy scalable AI solutions on Azure and integrate them with enterprise systems.
• Support demonstrations, proof of concepts (PoCs), MVPs, and client workshops showcasing Generative AI capabilities.
• Stay current with emerging AI technologies and contribute to innovation initiatives across the organization.

Skills and Experience

• Understanding of Generative AI concepts, including Large Language Models (LLMs), Prompt Engineering, Agentic AI, RAG, embeddings, vector databases, and AI orchestration frameworks.
• Experience developing AI solutions using Python and modern AI frameworks such as LangChain, Semantic Kernel, LangGraph, AutoGen, or similar technologies.
• Familiarity with Azure AI services, including Azure OpenAI Service, Azure AI Foundry, AI Search, and Cognitive Services.
• Knowledge of responsible AI principles, AI governance, security, and compliance considerations.
• Experience integrating AI solutions with enterprise applications, APIs, and business workflows.
• Strong communication skills with the ability to explain complex AI concepts to both technical and business audiences.
• Understanding of cloud-native architectures and deploying AI solutions on Azure.

Desirable Skills

• Experience with Microsoft Copilot Studio, Microsoft 365 Copilot extensibility, and custom Copilot development.
• Hands‑on experience implementing enterprise RAG architectures and knowledge management solutions.
• Experience with vector databases such as Azure AI Search, Pinecone, Weaviate, or similar platforms.
• Knowledge of LLMOps, model evaluation, monitoring, and AI lifecycle management.
• Azure certifications related to AI, Data, or Cloud technologies.
• Advanced degree (Master's/PhD) in Artificial Intelligence, Computer Science, Data Science, Applied Mathematics, or related disciplines.
• Experience leading AI transformation initiatives or AI adoption programs.

About You

• AI‑first mindset with passion for emerging technologies.
• Analytical, curious, and innovative.
• Strong consulting and stakeholder management skills.
• Team player and effective communicator.
• Problem‑solver with a focus on delivering business value.
• Self‑motivated and continuously learning.
• Comfortable working in fast‑evolving technology environments.
• Customer‑centric and outcome‑oriented.

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