Staff Software Engineer (C#, Cloud)

Thomson Reuters is seeking a Staff Software Engineer to lead the development of advanced cloud AI services. The role involves designing and implementing scalable enterprise AI solutions, providing technical leadership, and ensuring high-quality code while collaborating with cross-functional teams.

Responsibilities:

• Leverage your expert-level C# programming skills to design, develop, and implement highly scalable, resilient, and secure enterprise AI services. This includes building foundational components for Agentic AI, LLM orchestration, and intelligent automation
• Lead the technical integration and utilization of advanced cloud AI services like Azure OpenAI, AWS Bedrock, GCP Vertex AI, and other emerging Agentic AI technologies to deliver cutting-edge solutions to Thomson Reuters product teams
• Build cloud-based solutions in AWS, Azure, and GCP clouds to support the delivery of AI technology to teams and products at TR
• Develop robust API layers using platforms like Azure API Management and Google Cloud APIGEE to expose AI capabilities securely and efficiently
• Provide hands-on technical leadership and mentorship to a team of Enterprise AI Services engineers, fostering best practices in software development, C# coding standards, and platform reliability
• Drive agile development practices (Scrum/Kanban), ensuring clear visibility of work, efficient backlog management, and timely delivery of platform enhancements
• Act as a technical subject matter expert, unblocking complex challenges and ensuring high-quality, production-ready code
• Proactively research, evaluate, and prototype new AI, Generative AI, and Agentic AI architectures, assessing their maturity and strategic alignment with business and technology goals to inform the platform roadmap
• Champion and embed security-by-design principles into all AI platform components and services. Collaborate closely with the Thomson Reuters information security team to implement robust enterprise-grade security features, addressing unique AI security concerns (e.g., prompt injection, data poisoning)
• Prepare and present high-quality technical and non-technical documentation, effectively communicating complex concepts to diverse audiences
• Proactively identify, assess, and mitigate technical and operational risks associated with deploying and scaling AI systems

Requirements:

• B.S./B.A. Computer Science or related field; or equivalent level of experience
• 8+ years of progressive experience in software development and platform engineering, with a significant focus on cloud-native architectures
• Expert-level proficiency in C# development, with demonstrable experience building and deploying complex, highly scalable, and performant distributed systems and APIs
• Previous Software or Cloud engineering and development experience required
• UNIX/Linux administration experience required
• AWS Cloud experience required (Cloud Practitioner and higher AWS certification preferred)
• Azure Cloud experience required (AZ-900 or AI-900 and higher Azure certification preferred)
• Google Cloud experience (APIGEE) is an asset
• Understanding of vector capabilities and other AI functions
• Strong passion for technology and a willingness to learn new skills
• Self-motivation and self-direction, ability to translate technical direction and apply to specific work responsibilities
• Ability to work effectively with cross-functional teams
• Ability to investigate complex issues spanning multiple technologies
• Excellent communication (written and verbal) and interpersonal skills
• Strong technical aptitude
• Strong analytical skills
• AWS certification preferred
• Azure certification preferred
• Demonstrated use of CI/CD technologies is a plus, understanding of tools like Azure DevOps, GitHub, GitHub Actions, JFrog Artifactory, Docker preferred
• Demonstrated use of programming languages like Python, SQL is an asset