AI Engineer (Manager level)

Who we are

As a global law firm our work spans jurisdictions, cultures, and languages – and so do our people.

Our culture is collaborative and inclusive — where diverse perspectives are recognised and valued. Where performing to your highest ability, unlocks equal access to opportunities to learn, thrive and grow.

We combine deep legal expertise and commercial intelligence to grow, transform, protect, and defend our clients’ businesses, across every critical moment.

We operate in the sectors and regions that matter to our clients. With forward-thinking insights and innovative, tech-enabled solutions that combine deep knowledge of their sectors and markets.

You’ll build connections and work with colleagues as one global team. You’ll unlock opportunities for clients, across borders, cultures, legal and commercial disciplines.

Join us to work with colleagues as one global team – empowering each other to be exceptional and create advantage for our clients.

Our India team is a well-established and integral part of the firm’s global operations, delivering high-value support across a wide spectrum of functions. With over 800 business professionals based in Gurugram and Hyderabad, we’ve been driving operational excellence and innovation for more than 15 years.

We contribute to global success in areas such as Information Technology, Finance, Human Resources, Risk & Compliance, Legal Support, Research & Knowledge, Document Production, Virtual Executive Assistance, Programme Management, Client & Market Development, and Continuous Improvement.

Job Description

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

Qualifications

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 troubl…