- Company Name
- KPMG UK
- Job Title
- Senior Manager - Principal AI Engineer
- Job Description
-
**Job Title**
Senior Manager – Principal AI Engineer
**Role Summary**
Lead a high‑performance AI engineering team within an audit technology division, designing, developing, and deploying production‑grade AI solutions that enhance audit quality, efficiency, and insight generation. Drive technical strategy, mentorship, and operational excellence while ensuring compliance with AI governance and security standards.
**Expectations**
- Deliver scalable, reliable AI systems for audit applications.
- Champion modern development practices (MLOps, CI/CD, cloud‑native).
- Mentor and grow engineering talent, fostering a culture of innovation.
- Collaborate cross‑functionally with data scientists, product managers, platform engineers, and audit stakeholders.
- Ensure responsible AI use through monitoring, explainability, and security controls.
**Key Responsibilities**
- Lead and mentor a team of software engineers and AI practitioners.
- Architect, prototype, and deploy end‑to‑end AI products using Azure ML, Databricks, MLflow, LangChain/LangGraph.
- Implement reusable patterns, enforce coding standards, and maintain MLOps best practices.
- Define and execute CI/CD pipelines, automated testing, and observability.
- Collaborate with data scientists, product managers, QA, and platform teams for integration and delivery.
- Establish engineering controls for AI governance: model monitoring, explainability, security, auditability.
- Drive capability building and knowledge sharing across the technology and audit functions.
**Required Skills**
- Deep expertise in generative AI, machine learning, deep learning, NLP, and related AI fields.
- Proven experience designing, building, and deploying AI systems in production.
- Strong knowledge of Azure Cloud, Azure Machine Learning, Databricks, MLflow, LangChain, LangGraph, and related tooling.
- Hands‑on experience with MLOps, CI/CD, version control (Git), automated testing, and observability.
- Excellent leadership, mentorship, communication, and stakeholder‑management skills.
- Understanding of AI governance, ethical AI, model explainability, and security best practices.
**Required Education & Certifications**
- Bachelor’s degree (preferred Master’s or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field, **or equivalent professional experience.**