Senior Engineer, AI Applications Development

Position Summary

As part of our Technology Applications Development team, you will play a pivotal role in designing, developing, and maintaining applications with Microsoft's AI toolset, including Copilot Studio, Azure AI Services, Power Platform, and full custom development in the M365 ecosystem along with React, and Node.js. Your work will contribute directly to enhancing business process efficiency within the Firm.

You will also collaborate with the Innovation Team and data scientists to explore and implement AI-driven solutions that push the boundaries of legal technology. The ideal candidate has a strong technical foundation, a passion for software development, and a keen interest in AI research and development.

You will work across various projects, applying a mix of technical expertise, creativity, and problem‑solving skills. You will be proactive in identifying areas for improvement, innovating new solutions, and driving projects forward in an agile environment.

Supporting the firm's needs, you will develop a good understanding of how the firm operates. You will also be an integral part of our focus on delivering the Firm's vision of profitable growth and will champion our internal culture. Aware of the contribution that you can make to the plans and decisions that will deliver engaged people and outstanding client relationships around the world, you will be confident in speaking up and proactively look for ways to make a difference and implement process improvements.

In return, you will have a front‑row seat in a business that is changing rapidly within a team that is friendly, supportive and welcoming.

• Develop, integrate, and maintain AI‑powered applications using Microsoft AI and cloud technologies (Azure OpenAI, Cognitive Services, Machine Learning, etc.).
• Leverage Azure AI services to implement NLP, computer vision, and predictive analytics solutions.
• Build and integrate AI‑driven solutions into business processes to enhance efficiency.
• Develop applications within Azure Foundry, optimizing them for performance and scalability.
• Collaborate with the Innovation Team and data scientists to explore R&D initiatives related to AI and automation.
• Implement Copilot and Copilot Studio solutions to streamline workflows and automate tasks.
• Work with Power Platform (Power Automate, Power Apps, Power Virtual Agents) to create intelligent workflow automation.
• Participate in full software development lifecycle (SDLC) activities, including design, development, testing, deployment, and support.
• Develop custom solutions using JavaScript, React, Type Script, Python and the Graph API.
• Develop and maintain cloud‑native applications, ensuring optimal security, scalability, and compliance.
• Follow Dev Ops best practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing.
• Monitor and maintain existing applications, ensuring they remain performant, secure, and up to date.
• Troubleshoot technical issues and implement bug fixes proactively.
• Stay informed of the latest Microsoft and AI advancements, incorporating new technologies where applicable.
• Maintain the practice of continuous improvement and education by attending seminars, etc., and keeping current on new leadership skills.
• Maintain professional and technical knowledge by reviewing related professional publications.
• Stay in tune with the Firm's growing projects for practical experience.
• Interact with all levels of staff.

• B.S. degree in Computer Science, Software Engineering or related field, or equivalent experience.
• 3+ years of experience in software development with a focus on AI, automation, or cloud‑based solutions.
• Strong proficiency in Microsoft AI and cloud platforms, including:
  • Azure AI services (OpenAI, Cognitive Services, Machine Learning, Bot Services)
  • Microsoft Graph API
• Experience developing in Python, React, JavaScript/Type Script, and Power Shell.
• Knowledge of AI/ML frameworks and integration of AI models into applications.
• Understanding AI/ML concepts, including NLP, chatbot development, and automation.
• Strong knowledge of Dev Ops methodologies, CI/CD pipelines, and Git‑based workflows.
• Team…