Lead AI Platform Engineer

Role Description 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, which include AI model deployment, training, and AI tooling development.

AI & Cloud Expertise

Experience working with Large Language Models (LLMs) and understanding of 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. Must be able to use prompt engineering to carry out 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

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 analyse 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