Description
As a Senior Software Engineer – AI II at Thomson Reuters, you will play a key role in developing intelligent systems that power the next generation of expert solutions across legal, tax, risk, and compliance domains.
You will collaborate with a cross-functional team of product managers, UX designers, and engineers to design, build, and deliver AI-powered solutions.
Responsibilities:
- Architect and implement advanced AI systems, including multi-component pipelines, retrieval-augmented generation (RAG), and custom AI agents with multi-step reasoning.
- Integrate AI models into production software through robust APIs and scalable data pipelines.
- Adapt AI models and techniques to specialized domains, tailoring solutions for expert systems in areas such as legal, tax, and compliance.
- Evaluate and prototype cutting-edge AI techniques to solve business challenges.
- Conduct proof-of-concept projects for new AI-driven features.
- Stay current with AI research and emerging technologies.
- Break down functional requirements into scalable technical specifications.
- Mentor junior engineers and facilitate technical discussions.
- Contribute to MLOps and LLMOps practices, both in design and implementation.
- Act as a thought leader, sharing expertise in company-wide forums and representing the organization in emerging technology areas.
- Implement comprehensive testing frameworks and monitoring systems for AI model performance.
- Ensure compliance with ethical AI principles and security standards.
- Conduct systems analysis and recommend operational improvements.
- Work closely with AI researchers, engineers, designers and product teams to translate AI capabilities into real-world applications.
- Optimize AI system performance considering factors like latency and resource usage.
- Support application feature enhancements through AI capabilities.
Requirements:
- Bachelor's degree in computer science or equivalent experience.
- 7+ years of experience in software engineering; at least 2 years focused on AI/ML.
- Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow).
- Strong understanding of machine learning principles, evaluation, and system design.
- Knowledge of MLOps and the end-to-end lifecycle of AI-powered software applications.
- Experience integrating AI models into production systems using APIs and data pipelines.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes).
- Excellent problem-solving skills and ability to work independently in a fast-paced environment.
- Strong communication skills and experience working in cross-functional teams.
Benefits:
- Hybrid Work Model: flexible hybrid working environment
- Flexibility & Work-Life Balance: supportive workplace policies
- Career Development and Growth: culture of continuous learning and skill development
- Industry Competitive Benefits: comprehensive benefit plans
- Culture: globally recognized, award-winning reputation for inclusion and belonging
- Social Impact: opportunities to make an impact in the community