
SoCode
Job title:
Senior AI Engineering Manager | Contract or Perm
Company
SoCode
Job description
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.
Expected salary
£75000 – 100000 per year
Location
Marlow, Buckinghamshire
Job date
Tue, 19 Aug 2025 02:34:28 GMT
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