We are seeking a Senior Engineering Manager to lead the development of next-generation AI/ML platform services. This role is ideal for a hands-on technical leader who thrives at the intersection of AI, cloud, and large-scale engineering management. You’ll be guiding a team in designing, building, and scaling secure, reliable, cloud-native AI platform services that will serve as the foundation for advanced AI adoption across multiple products and partner ecosystems.
Key Responsibilities

• Oversee the design and architecture of scalable, fault-tolerant services on Microsoft Azure.
• Provide technical leadership, mentorship, and act as an escalation point for complex challenges.
• Translate business requirements into actionable features and drive delivery through a Scrum team.
• Manage platform backlogs, release planning, and continuous service enhancements.
• Embed security and compliance practices into platform design, ensuring data protection and regulatory adherence.
• Lead and grow a high-performing development and test team, fostering a culture of innovation and continuous improvement.
• Collaborate with cross-functional teams on AI model deployment, training, and tooling development.
• Identify and mitigate technical, operational, and security risks.
• Support team performance reviews, professional growth, and career development.

AI & Cloud Expertise

• Hands-on experience with Large Language Models (LLMs) and balancing performance, cost, and scalability.
• Understanding of RAG (Retrieval-Augmented Generation), agent orchestration, prompt engineering, and tool calling.
• Familiarity with standards such as Model Context Protocol (MCP) and Agent2Agent (A2A).
• Knowledge of ML algorithms (regression, classification, clustering, deep learning).
• Awareness of AI ethics and regulations (NIST AI RMF, EU AI Act), with a commitment to responsible AI.
• Proficiency with Python and frameworks such as PyTorch and TensorFlow.
• Experience with orchestration frameworks (AI Foundry, Semantic Kernel) and AI coding tools like GitHub Copilot.

Core Skills & Qualifications

• 10+ years of software engineering experience, including 3–5 years in technical leadership roles.
• Strong track record in building cloud-native or AI platform services.
• Deep knowledge of Azure PaaS services (e.g., Functions, AKS, API Management).
• Expertise in RESTful API design, lifecycle management, and security.
• Proven success in team management, mentorship, and performance management.
• Skilled in Agile delivery, stakeholder communication, risk management, and resource planning.
• Excellent analytical and problem-solving skills, with the ability to design scalable technical solutions.
• Experience collaborating across globally distributed R&D teams.

Why This Role? This is an opportunity to shape the direction of AI platform engineering at scale, leading a team at the cutting edge of cloud and AI technology. You’ll play a pivotal role in building the foundational services that enable innovation across multiple industries, working in a collaborative and forward-looking environment.
If you are a proven engineering leader who is passionate about AI, cloud-native development, and driving teams to deliver impactful solutions, we’d love to hear from you.