Lead Software Engineer, AI

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🕒 6 days ago

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Thomson Reuters

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2008

💸 Finance

📱 Media

☁️ SaaS

Finance • Media • SaaS

Thomson Reuters is a global content and technology company that provides professionals with reliable and accurate solutions across the legal, tax and accounting, international trade, and risk management sectors. The company offers a range of products including legal research tools, tax preparation software, compliance and regulatory solutions, and media services like Reuters for global news. With significant investments in generative AI, Thomson Reuters continues to innovate in helping professionals optimize their workflows and enhance their decision-making. Their platforms serve various industries such as law firms, corporations, tax professionals, and media organizations, providing essential tools that combine powerful technology with in-depth expert content.

📋 Description

• Spearhead the development of cutting-edge AI-powered solutions and driving technical strategy • Collaborate with senior stakeholders, product leadership, and cross-functional teams • Design and lead the implementation of complex, enterprise-scale AI systems • 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 • Mentor a team of senior and junior Software engineers, fostering technical growth • Design and implement comprehensive testing frameworks for AI model performance

🎯 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 • Experienced with Generative AI/RAG/LLM • Expert-level proficiency in Python and experience with AI/ML frameworks (PyTorch, TensorFlow, JAX) • Deep understanding of machine learning principles and advanced evaluation methodologies • 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 using APIs, data pipelines, and cloud-native architectures • Advanced experience with cloud platforms (AWS, Azure, GCP) and orchestration tools (Docker, Kubernetes, Terraform) • Experience leading teams in building AI-driven systems

🏖️ Benefits

• Hybrid Work Model: Flexible hybrid working environment (2-3 days a week in the office) • Flex My Way: Supportive workplace policies for managing personal and professional responsibilities • Career Development and Growth: Culture of continuous learning and skill development • Industry Competitive Benefits: Comprehensive benefit plans including flexible vacation and two Mental Health Days • Social Impact: Two paid volunteer days off annually and pro-bono consulting opportunities