Thomson Reuters

Technology

LeadSoftwareEngineer,AI

$127–127k Eagan, Minnesota, United States FULL TIME Remote Friendly
The Brief

“Lead Software Engineer, AI at Thomson Reuters. Skills: AI-driven software, Generative AI, RAG architectures, Autonomous AI agents, Full-stack development. Build AI-driven systems. Architect AI-driven systems”

What You'll Achieve.

Turn AI capabilities into market-leading products; Optimize performance for latency; Optimize performance for cost; Optimize performance for user experience; Influence product strategy

Industry & Context.

Technology
Problems you'll solve

Problem-solving; Strategic thinking

What They're Looking For.

Must Have

Bachelor's degree in Computer Science or equivalent experience, 8+ years of software engineering experience, 4+ years in senior or lead roles focused on AI/ML, Proven track record as a software engineer with AI expertise, Experience in Generative AI or RAG or LLMs, Proficiency in backend services and APIs, Expert-level proficiency in object-oriented programming, Extensive experience with AI/ML frameworks, Deep understanding of ML principles, Deep understanding of evaluation methodologies, Deep understanding of distributed systems, Deep understanding of full lifecycle of enterprise AI applications, Advanced experience with AWS, Advanced experience with orchestration tools, Demonstrated ability to integrate AI models into large-scale production systems, Leadership and mentoring skills, Excellent strategic thinking, Excellent problem-solving skills, Outstanding communication skills, Outstanding presentation skills, Experience influencing senior stakeholders

Nice to Have

Master's degree preferred, Experience leading teams building AI-driven systems, Experience leading teams building agent-based architectures, Experience leading teams building enterprise integrations with AI APIs, Advanced knowledge of vector databases, Advanced knowledge of embeddings, Advanced knowledge of semantic search, Advanced knowledge of information retrieval, Domain expertise in legal, tax, accounting, or regulated industries, Experience with AI governance, Experience with model risk management, Experience with regulatory publications, Publications, patents, or speaking experience in AI/ML

What You'll Do.

Build AI-driven systems

Architect AI-driven systems

Design enterprise-scale AI systems

Lead implementation of enterprise-scale AI systems

Implement multi-component pipelines

Implement RAG architectures

Implement autonomous AI agents

Lead full-stack development

Develop AI orchestration

Develop microservices

Develop modern web UIs

Drive technical strategy

Lead evaluation of AI technologies

Lead adoption of AI technologies

Oversee proof-of-concept work

Oversee technical feasibility for new AI-driven solutions

Stay current with AI research

Translate AI insights into technical strategies

Represent organization at industry conferences

Provide senior technical leadership

Lead architecture decisions

Translate business requirements into technical solutions

Mentor senior software engineers

Mentor junior software engineers

Champion MLOps practices

Champion LLMOps practices

Champion governance for AI model lifecycle

Ensure operational excellence

Design testing for AI systems

Design monitoring for AI systems

Design observability for AI systems

Lead compliance with ethical AI principles

Lead compliance with security standards

Lead compliance with regulatory standards

Establish governance for AI model lifecycle management

Lead cross-functional collaboration

Partner with AI researchers

Partner with engineering leadership

Turn AI capabilities into market-leading products

Optimize performance for latency

Optimize performance for cost

Optimize performance for user experience

Influence product strategy

Build intelligent systems

How You'll Work.

Team & Collaboration

Cross-functional collaboration; Partner with AI researchers; Partner with engineering leadership; Partner with design; Partner with product

Communication Scope

Presentation skills; Influencing stakeholders

Process & Methodology

Agile

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