Staff Software Engineer (C#, Cloud)

Thomson Reuters•Eagan, MN

1d•Hybrid

About The Position

Thomson Reuters is seeking a Staff Software Engineer experienced in C# to lead advanced cloud AI services. This role involves designing, developing, and implementing highly scalable, resilient, and secure enterprise AI services, including foundational components for Agentic AI, LLM orchestration, and intelligent automation. The engineer will 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. They will build cloud-based solutions in AWS, Azure, and GCP, develop robust API layers using platforms like Azure API Management and Google Cloud APIGEE, and provide hands-on technical leadership and mentorship to a team of Enterprise AI Services engineers. The role also includes driving agile development practices, acting as a technical subject matter expert, researching and prototyping new AI architectures, championing security-by-design principles, collaborating with the information security team, preparing documentation, and mitigating technical and operational risks.

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.
Azure Cloud experience required.
C# required.
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.

Nice To Haves

Cloud Practitioner and higher AWS certification preferred.
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.
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.

Responsibilities

Leverage expert-level C# programming skills to design, develop, and implement highly scalable, resilient, and secure enterprise AI services, including 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.

Benefits

Hybrid Work Model
Flexibility & Work-Life Balance
Work from anywhere for up to 8 weeks per year
Career Development and Growth
Grow My Way programming
Skills-first approach
Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more.
Two paid volunteer days off annually
Opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Market competitive health, dental, vision, disability, and life insurance programs
Competitive 401k plan with company match
Competitive vacation, sick and safe paid time off
Paid holidays
Parental leave
Sabbatical leave
Optional hospital, accident and sickness insurance paid 100% by the employee
Optional life and AD&D insurance paid 100% by the employee
Flexible Spending and Health Savings Accounts
Fitness reimbursement
Access to Employee Assistance Program
Group Legal Identity Theft Protection benefit paid 100% by employee
Access to 529 Plan
Commuter benefits
Adoption & Surrogacy Assistance
Access to Employee Stock Purchase Plan