Thomson Reuters
StaffSoftwareEngineer-AI
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“Staff Software Engineer - AI at Thomson Reuters. Skills: AI-powered solutions, Enterprise-scale AI systems, MLOps/LLMOps, Cloud-native architectures. Spearhead development of AI-powered solutions. Drive technical strategy”
What You'll Achieve.
Transform how organization delivers value; Drive innovation in expert systems; Solve complex business challenges; Establish organization's position in emerging AI areas; Translate AI capabilities into market-leading applications; Drive optimization of AI system performance; Lead strategic initiatives for application feature enhancements
Industry & Context.
Problem-solving skills; Complex business challenges; Technical feasibility assessments; Systems analysis
What They're Looking For.
Must Have
Bachelor's degree in computer science, 8+ years of experience in software engineering, 4 years in senior or lead roles focused on AI/ML, Expert-level proficiency in Python, Extensive experience with AI/ML frameworks, Deep understanding of machine learning principles, Advanced evaluation methodologies, Distributed system design, Proven experience with MLOps/LLMOps, Managing complete lifecycle of enterprise AI-powered applications, Integrating AI models into large-scale production systems, Advanced experience with cloud platforms, Experience with orchestration tools, Leadership experience driving technical initiatives, Excellent strategic thinking, Problem-solving skills, Operate effectively in complex environments, Outstanding communication skills, Presentation skills, Experience influencing senior stakeholders, Experience leading teams in building AI-driven systems, Experience with agent-based architectures, Experience with enterprise integrations with AI APIs, Advanced knowledge of vector databases, Advanced knowledge of embeddings, Advanced knowledge of semantic search, Advanced knowledge of information retrieval systems, Domain expertise in legal, Domain expertise in tax, Domain expertise in accounting, Domain expertise in regulated industries, Track record of successful AI product launches, Scaling AI systems to enterprise customers, Portfolio demonstrating leadership in LLM-based solutions, Portfolio demonstrating leadership in AI product development, Experience with AI governance, Experience with model risk management, Experience with regulatory compliance
Nice to Have
Master's degree preferred
What You'll Do.
Spearhead development of AI-powered solutions
Drive technical strategy
Collaborate with senior stakeholders
Collaborate with product leadership
Collaborate with cross-functional teams
Architect enterprise-grade AI systems
Build enterprise-grade AI systems
Scale enterprise-grade AI systems
Design complex AI systems
Lead implementation of complex AI systems
Design multi-component pipelines
Lead implementation of multi-component pipelines
Design retrieval-augmented generation architectures
Lead implementation of RAG architectures
Design autonomous AI agents
Lead implementation of autonomous AI agents
Architect scalable AI model integration strategies
Integrate AI models into production software
Develop distributed data pipelines
Develop microservices architectures
Lead adaptation of AI models
Lead customization of AI models
Drive innovation in expert systems
Define technical standards for AI architecture
Define best practices for AI architecture
Lead evaluation of AI techniques
Lead strategic adoption of AI techniques
Oversee proof-of-concept projects
Guide technical feasibility assessments
Stay at forefront of AI research
Stay at forefront of emerging technologies
Translate insights into technical roadmaps
Drive innovation initiatives
Establish organization's position in emerging AI areas
Lead technical architecture decisions
Translate business requirements into technical specifications
Mentor senior software engineers
Mentor junior software engineers
Foster technical growth
Foster career development
Champion MLOps practices
Champion LLMOps practices
Lead MLOps implementation
Lead LLMOps implementation
Serve as senior thought leader
Drive technical discussions in executive forums
Represent organization at industry conferences
Represent organization at industry events
Design testing frameworks for AI models
Implement testing frameworks for AI models
Design monitoring systems for AI models
Implement monitoring systems for AI models
Design observability solutions for AI models
Implement observability solutions for AI models
Lead compliance initiatives
Ensure adherence to ethical AI principles
Ensure adherence to security standards
Ensure adherence to regulatory requirements
Conduct advanced systems analysis
Drive operational improvements across AI infrastructure
Establish governance frameworks for AI model lifecycle
Partner with AI researchers
Partner with senior engineering leadership
Partner with design teams
Partner with product teams
Translate AI capabilities into applications
Drive optimization of AI system performance
Optimize AI system latency
Optimize AI system resource usage
Optimize AI system cost efficiency
Optimize AI system user experience
Lead strategic initiatives for application feature enhancements
Influence product strategy
How You'll Work.
Team & Collaboration
Cross-functional teams; Senior stakeholders; Product leadership; AI researchers; Senior engineering leadership; Design teams; Product teams
Communication Scope
Presentation skills; Executive forums; Industry conferences; Industry events
Process & Methodology
Technical strategy, Roadmaps, Feasibility assessments
Full Job Description
**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 globalleader. 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:** * 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. * 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 * 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 organization's position in emerging AI technology areas *
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