Job
Description
Role Overview: As a Senior Engineer or Principal Engineer in the Core AI Services Development team, your role will involve designing, developing, and scaling AI-enabling platform services and public APIs on a cloud-native and secure environment. Your contributions will be foundational in driving AI adoption within the company's product portfolio and partner ecosystem. You will work within a Scrum team to build innovative, standards-compliant, and production-grade AI capabilities with a focus on rapid prototyping and continuous improvement. Key Responsibilities: - Build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability. - Develop secure, well-documented public APIs and SDKs for consumption by internal and external developers. - Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs. - Embed robust security controls to protect sensitive data and ensure secure access to AI services. - Contribute to design reviews, code reviews, and architectural discussions to ensure engineering excellence. - Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation. - Work with multiple teams to create AI solutions, including AI model deployment, training, and AI tooling development. AI & Cloud Expertise: - Experience working with Large Language Models (LLMs) and understanding trade-offs between performance, cost, and capability. - Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. - Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). - Strong knowledge or experience in working with various ML algorithms (regression, classification, clustering, deep learning). - Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act) and commitment to responsible AI development. - Fluent in developing code using AI Tools such as GitHub Copilot and prompt engineering for multiple development tasks. - Familiar with AI orchestration, including tools like AI Foundry and/or Semantic Kernel. - Experience with tools for automated testing and evaluation of AI outputs is a plus. - Experience in Python and AI frameworks/Tools such as PyTorch and TensorFlow. Qualifications Required: - 10+ years of experience in software engineering, preferably in platform or cloud-native service development using Microsoft and .NET technologies. - Hands-on experience with Microsoft Azure and associated PaaS services (e.g., Azure Functions, AKS, API Management). - Strong expertise in RESTful API design, versioning, testing, and lifecycle management. - Proficient in securing APIs, managing authentication/authorization, and data privacy practices. - Excellent problem-solving skills with the ability to analyze complex technical challenges and propose scalable solutions. - Experience working in Agile teams and collaborating across global R&D locations. - Demonstrated ability to mentor junior team members fostering a culture of continuous learning and innovation. - Demonstrated experience with AI frameworks, tools, and Python.,
