AI Engineer (Manager level)

The role
This role is a key contributor in the Data & Analytics, AI team:
The daily work primarily focuses on Natural Language processing (NLP).
This role will lead a range of data analytics efforts, including monitoring and improving the performance of our Natural Language Understanding (NLU) models
Collaborate with legal technology advisors, business departments, innovation lab, finance team and work in the data science lab
Further develop Clifford Chance's generative AI solutions
Who you will work with
The candidate's primary role is to develop and deliver applications for internal organisation and service-based use. It will involve collaborating with other IT teams, internal product development teams and Data & Analytics, AI team members for the architectural design and implementation of these applications. The candidate will be actively involved not only in application design but also in the realisation of those designs as applications for the cloud.
What you will be responsible for
Develop products as both on-premises and cloud-based applications in Python, whilst ensuring they align to Application, Enterprise, Security architecture as well as the whole-of-Government policies and framework
Collaborate on creating architectural designs for on-premises and cloud-based applications, including relevant documentation to effectively explain architectural design concepts and solutions to various level of stakeholders
Recommend new software development methodologies, design patterns and approaches to continually improve product delivery as part of the Legal Technology Solutions
Apply knowledge of Agile software development and DevOps to ensure best delivery of applications, ensuring focus is always kept on maintainability and scalability.
Identify potential and emerging technologies relevant to innovation for the Data Science Lab and wider Legal Technology Solutions group
Contribute to the execution of data science use cases on a need basis
Your experience
Skills & Experience
6-7 years total (at least 3 years in all technologies listed below)
Azure AI Ecosystem: AI Services, GPT models, vector search, Cognitive search, Document Intelligence, Azure queues
Advanced Python proficiency (including multithreading, document processing, packaging)
Theoretical understanding of LLM driven applications
Experience with deep learning and Natural Language Processing (NLP)
Hands-on experience with using and configuring Azure OpenAI language models
Strong software engineering skills (high code quality, debugging, Azure CI/CD)
Experience with load testing of generative AI applications
Solid understanding of Machine Learning
Hands-on experience with data exploration and building machine learning models
Document code and document detailed designs
Excellent problem solving and troubleshooting skills
Experience in working with Databricks and Spark
Professional Expertise
BSc or greater in Data Science, Computer Science, Math or Statistics
Written and Verbal Communications
Highly developed written communication skills and capable of producing global and sensitive communications to a varied audience at all levels in both Practice Areas and Business Services.
Excellent verbal and interpersonal communications skills – some form of customer-facing interaction or consulting experience is a plus.
Core Competencies
Analytical Thought and Problem Solving
Makes decisions that solve the immediate problem and prevent it from occurring again.
Prepares for potential problems and contingencies in case things go wrong.
Takes prompt action to resolve problems quickly.
Makes pragmatic and practical decisions about how centrally driven initiatives should be implemented locally.
Uses all relevant sources of information, including the team and other colleagues, to generate solutions.
Communicating and Influencing
Takes account of different needs and concerns in order to effectively communicate with others.
Communicates effectively with the team through structured meetings and reviews.
Resolves conflict and delivers feedback in an assertive and transparent way.
Commitment and Self-Motivation
Remains positive even if progress is slow and solutions are diluted.
Is open to learning new skills.
Demonstrates a drive towards continual personal growth and development.
Learn about and champion best practices in code, architecture & processes.
Contribute to the architecture and development direction of the team to ensure quality code is written and excellent products are built
How we will support you
From your first day with us, you will have varied opportunities to continuously grow and development your skills and knowledge. From formal training, informal coaching and mentoring through to skills-based and technical training and on the job learning

Employment type
Full-time

Work arrangement
Hybrid