Are you ready to shape the future of businesses using Dynamics 365? At Avanade, we combine our expertise in Microsoft with creative innovation and industry knowledge to create opportunities for growth.
We offer diverse paths to success, one of which will lead to your unique vision of achievement.
Artificial Intelligence Engineering involves developing intelligent solutions embedded in business processes. Our focus is on designing, developing, and deploying GenAI solutions that meet functional and technical standards.
Our GenAI Engineers analyze client requirements, propose and design solutions, estimate effort, and articulate the design's value to customers.
They understand various programming languages, analytics platforms, GenAI frameworks, and APIs used to design complex applications.
Requirements
* 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.
* Background in NLP, OCR, or multimodal AI applications.
* Experience with API development using FastAPI, Flask, or Django.
* Knowledge of Docker and containerized deployments.
* Familiarity with databases like PostgreSQL, MongoDB, or CosmosDB.
* Experience with cloud platforms (Azure, AWS, or GCP) for AI model deployment.
* Strong understanding of software engineering principles and best practices.
* Ability to work in agile environments and collaborate with cross-functional teams.
* Agentic Frameworks including AutoGen, Semantic Kernel, LangGraph, or Crew AI.
Qualifications
* Preferred certification in Azure AI Engineering Associate.
* Experience in developing cloud applications running on Microsoft Azure (preferred), Google Cloud Platform, or Amazon Web Service.
* Minimum 1 year of experience in building GenAI solutions (using the above technologies) or in prompt engineering.
Job Responsibilities
Analyze and scope client requirements, propose and design the solution, estimate the effort to deliver the solution, and articulate the design and its value to the customer.
GenAI Engineers use various programming languages, analytics platforms, GenAI frameworks, and APIs to design complex applications.
This role is a critical part of the broader technical team including data scientists, data engineers, architects, project managers, technical experts, and other consultants.
GenAI Engineering focuses on GenAI solutions developed in conjunction with data scientists and data engineers on Microsoft Azure cloud environments.
Benefits include:
* Opportunity to work for Microsoft's Global Alliance Partner of the Year with exceptional development and training.
* Real-time access to technical and skilled resources globally.
* Dedicated career advisor to encourage growth.
* Engaged and helpful coworkers genuinely interested in you.