Senior Software Engineer, AI
Senior Software Engineer, AI
Ready to build the AI that transforms how professionals work? Join a dynamic, high-caliber team at Thomson Reuters, where we're investing boldly in AI and pushing into emerging frontiers with the backing, data, and reach of a global leader. As a Senior Software Engineer, AI, you'll take the lead in developing the intelligent systems powering the next generation of expert solutions across legal, tax, risk, and compliance.
About The Role
As a Senior Software Engineer, AI, you will
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Spearhead the development of groundbreaking AI-powered solutions and drive bold technical strategy. You'll team up with senior stakeholders, product leadership, and cross-functional teams to architect, build, and scale enterprise-grade AI systems that redefine how we deliver value to customers.
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Design and lead the build-out of ambitious, enterprise-scale AI systems - from sophisticated multi-component pipelines to advanced retrieval-augmented generation (RAG) architectures and autonomous AI agents with multi-step reasoning capabilities
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Push the boundaries of AI model adaptation and customization for specialized domains, fueling breakthrough innovation in expert systems for legal, tax, fraud, and compliance
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Set the bar - Define the technical standards and best practices that shape AI system architecture across the organization
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Partner with AI researchers, senior engineering leadership, design, and product teams to turn AI capabilities into market-leading applications
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Shape product strategy with deep technical expertise and sharp market instincts
About You
You're a great fit for Senior Software Engineer, AI if you bring:
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Bachelor's degree in Computer Science, Engineering, or equivalent experience; Master's degree preferred
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4+ years of experience in software engineering
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Experienced with Generative AI/RAG/LLM
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Experience in areas such as: leading solution discovery for various planning and teams, Architecture, Agentic tools, Evaluations, Deployment, Lifecycle of Solution, Metrics
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Expert-level proficiency in Python and extensive experience with AI/ML frameworks (PyTorch, TensorFlow, JAX)
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Deep understanding of machine learning principles, advanced evaluation methodologies, and distributed system design
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Proven experience with MLOps/LLMOps and managing the complete lifecycle of enterprise AI-powered applications
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Demonstrated expertise integrating AI models into large-scale production systems using APIs, data pipelines, and cloud-native architectures
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Advanced experience with cloud platforms (AWS, Azure, GCP) and orchestration tools (Docker, Kubernetes, Terraform)
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Excellent strategic thinking, problem-solving skills, and ability to operate effectively in complex, fast-paced environments
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Outstanding communication and presentation skills with experience influencing senior stakeholders
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Domain expertise in legal, tax, accounting, or other regulated industries
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Track record...