Description
As a Staff Software Engineer – AI at Thomson Reuters, you will play a lead role in developing intelligent systems that power the next generation of expert solutions across legal, tax, risk, and compliance domains.
Key Responsibilities:
- Spearhead the development of cutting-edge AI-powered solutions and drive technical strategy.
- Design and lead the implementation of complex, enterprise-scale AI systems.
- Architect scalable AI model integration strategies for production software.
- Lead the adaptation and customization of AI models for specialized domains.
- Define technical standards and best practices for AI system architecture.
- Lead evaluation and strategic adoption of cutting-edge AI techniques.
- Oversee proof-of-concept projects and guide technical feasibility assessments.
- Stay at the forefront of AI research and emerging technologies.
- Drive innovation initiatives and establish the organization's position in emerging AI technology areas.
- Lead technical architecture decisions and translate high-level business requirements into comprehensive technical specifications.
- Mentor a team of senior and junior Software engineers.
- Champion MLOps and LLMOps practices.
- Serve as a senior thought leader, driving technical discussions in executive forums and representing the organization at industry conferences.
- Design and implement comprehensive testing frameworks and monitoring systems.
- Lead compliance initiatives ensuring adherence to ethical AI principles.
- Conduct advanced systems analysis and drive operational improvements.
- Establish governance frameworks for AI model lifecycle management.
- Partner with AI researchers, senior engineering leadership, design, and product teams.
- Drive optimization of AI system performance.
- Lead strategic initiatives for application feature enhancements.
- Influence product strategy through deep technical expertise and market understanding.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or equivalent experience.
- Master's degree preferred.
- 8+ years of experience in software engineering with at least 4 years in senior or lead roles focused on AI/ML.
- Expert-level proficiency in Python and extensive experience with AI/ML frameworks.
- Proven experience with MLOps / LLMOps and managing the complete lifecycle of enterprise AI-powered applications.
- Demonstrated expertise integrating AI models into large-scale production systems.
- Advanced experience with cloud platforms and orchestration tools.
- Strong leadership experience driving technical initiatives.
- Excellent strategic thinking, problem-solving skills, and ability to operate effectively in complex environments.
- Outstanding communication and presentation skills.
Benefits:
- Hybrid Work Model
- Flexibility & Work-Life Balance
- Career Development and Growth
- Industry Competitive Benefits
- Culture
- Social Impact
- Making a Real-World Impact