Artificial Intelligence Engineer (GenAI Engineer)
Indexed description
To support the needs of our clients, Avanade is actively recruiting and interviewing for the role outlined below, as we continue to expand our AI and Data capabilities globally. With more than 60,000 employees around the world, we are helping organizations unlock business value through Generative AI, intelligent automation, and modern AI platforms.
Our AI & Data team is composed of industry-recognized experts in Artificial Intelligence, Machine Learning, Data Engineering, and Generative AI. We are looking for innovative, client-focused professionals passionate about helping organizations transform the way they work through Large Language Models (LLMs), Microsoft Copilot, AI Agents, and intelligent business solutions.
Come join us
As a member of our fast-growing Generative AI team, you will work across Avanade's AI practice to design, build, and deploy innovative AI solutions for some of the world's leading organizations.
You will help clients leverage technologies such as Azure OpenAI Service, Microsoft Copilot Studio, AI Foundry, Agentic AI, Retrieval-Augmented Generation (RAG), and modern AI architectures to transform business processes, employee experiences, and customer engagement.
Join our team and help organizations move from AI experimentation to enterprise-scale AI adoption.
What you'll do
- 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.
- 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.
- 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.
- 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
- Skills and experiences
- 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.
- 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.
- 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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