Staff Software Engineer AI I

Staff Software Engineer- AI

Are you passionate about building AI-driven software that transforms how professionals work Join a dynamic and highly skilled team at Thomson Reuters where we invest deeply in AI technologies and explore emerging fields with the backing of a global leader. As a Staff Software Engineer AI 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.

About The Role

As a Staff Software Engineer AI you will:

• Spearhead the development of cutting-edge AI-powered solutions and driving technical strategy. You will collaborate with senior stakeholders product leadership and cross-functional teams to architect build and scale enterprise-grade AI systems that transform how our organization delivers value to customers.

• Build & Architect AI-Driven Systems

• Design and lead the implementation of complex enterprise-scale AI systems including sophisticated multi-component pipelines advanced retrieval-augmented generation (RAG) architectures and autonomous AI agents with multi-step reasoning capabilities Architect scalable AI model integration strategies for production software through robust APIs distributed data pipelines and microservices architectures Lead the adaptation and customization of AI models for specialized domains driving innovation in expert systems for legal tax fraud and compliance Define technical standards and best practices for AI system architecture across the organization

• Drive Innovation & Technical Strategy

• Lead evaluation and strategic adoption of cutting-edge AI techniques to solve complex business challenges Oversee proof-of-concept projects and guide technical feasibility assessments for new AI-driven features Stay at the forefront of AI research and emerging technologies translating insights into actionable technical roadmaps Drive innovation initiatives and establish the organizations position in emerging AI technology areas

• Provide Senior Technical Leadership

• Lead technical architecture decisions and translate high-level business requirements into comprehensive scalable technical specifications Mentor a team of senior and junior Software engineers fostering technical growth and career development Champion MLOps and LLMOps practices across the organization leading both design and implementation initiatives Serve as a senior thought leader driving technical discussions in executive forums and representing the organization at industry conferences and events

• Ensure Quality Security & Operational Excellence

• Design and implement comprehensive testing frameworks monitoring systems and observability solutions for AI model performance at scale Lead compliance initiatives ensuring adherence to ethical AI principles security standards and regulatory requirements Conduct advanced systems analysis and drive operational improvements across AI infrastructure Establish governance frameworks for AI model lifecycle management

• Lead Cross-Functional Collaboration

• Partner with AI researchers senior engineering leadership design and product teams to translate AI capabilities into market-leading applications Drive optimization of AI system performance across multiple dimensions including latency resource usage cost efficiency and user experience Lead strategic initiatives for application feature enhancements through advanced AI capabilities Influence product strategy through deep technical expertise and market understanding

About You

You are a fit for the position of Staff Software Engineer - AI if your background includes:

Required Skills and Experience

• Bachelors degree in Computer Science Engineering or equivalent experience; Masters 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 (PyTorch TensorFlow JAX)
• Deep understanding of machine learning principles advanced evaluation methodologies and distributed system design
• 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)
• Strong leadership experience driving technical initiatives
• Excellent strategic thinking problem-solving skills and ability to operate effectively in complex fast-paced environments
• Outstanding communication and presentation skills with experience influencing senior stakeholders

Preferred Qualifications

• Experience leading teams in building AI-driven systems agent-based architectures or enterprise integrations with AI APIs from providers like OpenAI Anthropic and others
• Advanced knowledge of vector databases embeddings semantic search and information retrieval systems
• Domain expertise in legal tax accounting or other regulated industries
• Track record of successful AI product launches and scaling AI systems to enterprise customers
• Portfolio demonstrating leadership in innovative LLM-based solutions and AI product development
• Experience with AI governance model risk management and regulatory compliance
• Publications patents or speaking experience in AI/ML domains