Senior AI Engineering Manager | Contract or Perm
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. #J-18808-Ljbffr