Job Description Avanade has countless paths for you to pursue. One of them is sure to lead to your unique version of success. Artificial Intelligence Engineering involves the development of real\-life predictive and intelligent solutions to be embedded in the business processes of our customers. The focus of GenAI Engineering is the design, development and deployment of GenAI solutions that meet functional and technical programming standards. **Together we do what matters.** **Key Responsibilities:** * Convert the high\-level business requirements into functional and non\-functional requirements to support the design phase. * Identify and select appropriate technologies for solving problems and formulate GenAI solutions for development. * Prototype applications applying formulated GenAI designs and verify the problem/soluti on fit working with data scientists in a collaborative mode. * Build of GenAI Platform and GenAI Product software components working alongside infrastructure engineers, data scientists and other team members. * Understand various programming languages, analytics platforms, GenAI frameworks and APIs to design complex applications. * Develop, fine\-tune, and deploy Generative AI models for real\-world applications. * Design, build, and optimize APIs to integrate AI models into production environments. * Work with various databases to store and manage model inputs/outputs efficiently. * Collaborate with cross\-function al teams to define AI\-driven features and solutions. * Implement LLMOps best practices, including model monitoring and continuous integration. Qualification * Proficiency in Python, with experience in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face. * Hands\-on experience with Generative AI models, including LLMs, GANs, VAEs, or Diffusion Models. * A background in NLP, OCR or multimodal AI applications. * Experience with API development using Fast API, Flask, or Django. * Familiarity with databases like PostgreSQL, MongoDB, or Cosmos DB. * Experience with Cloud platforms (Azure, AWS, or GCP) for AI model deployment. * Strong understanding of software engineering principles and best practices. * Familiarity with Agentic Frameworks, including AutoGen, Semantic Kernel, Lang Graph or Crew AI.