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Lead Software Engineer, AI

Job in Eagan, Dakota County, Minnesota, USA
Listing for: Thomson Reuters
Part Time position
Listed on 2026-07-13
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect
Salary/Wage Range or Industry Benchmark: 127400 - 236600 USD Yearly USD 127400.00 236600.00 YEAR
Job Description & How to Apply Below

Lead Software Engineer, AI

Are you passionate about building AI-driven software that transforms how professionals work? Join our fast-moving, forward-thinking group that is creating AI-driven software for professionals through our investigative platform, CLEAR (Consolidated Lead Evaluation and Reporting), which empowers users to search and analyze billions of public and proprietary records from a unified interface. We invest deeply in AI technologies and explore emerging fields with the backing of Thomson Reuters, a global leader.

About

the Role
  • Build and architect AI-driven systems – Design and lead the implementation of enterprise-scale AI systems, including multi-component pipelines, retrieval-augmented generation (RAG) architectures, and autonomous AI agents with multi-step reasoning; lead full-stack development from AI orchestration and RAG through API gateways, microservices, and modern web UIs.
  • Drive innovation and technical strategy – Lead evaluation and adoption of cutting‑edge AI techniques; oversee proof‑of‑concept work and technical feasibility for new AI-driven features; stay current with AI research and translate insights into technical roadmaps; represent the organization at industry conferences and events.
  • Provide senior technical leadership – Lead architecture decisions and translate business requirements into scalable technical specifications; mentor senior and junior software engineers; champion MLOps and LLMOps practices and governance for the AI model lifecycle.
  • Ensure quality, security, and operational excellence – Design and implement testing, monitoring, and observability for AI systems at scale; lead compliance with ethical AI principles, security standards, and regulatory requirements; establish governance for AI model lifecycle management.
  • Lead cross‑functional collaboration – Partner with AI researchers, engineering leadership, design, and product to turn AI capabilities into market‑leading applications; optimize performance for latency, cost, and user experience; influence product strategy through deep technical expertise.
About You
  • Bachelor’s degree in Computer Science, Engineering, or equivalent experience (Master’s degree preferred), and 8+ years of software engineering experience with at least 4 years in senior or lead roles focused on AI/ML.
  • Proven track record as a software engineer with AI expertise (not primarily a data scientist or ML researcher), with experience in Generative AI or RAG or LLMs – including solution discovery, architecture, agentic tools, evaluation, deployment, lifecycle, and metrics.
  • Strong proficiency in backend services and APIs.
  • Expert‑level proficiency in an object‑oriented programming language and extensive experience with AI/ML frameworks (e.g., PyTorch, Tensor Flow, JAX); deep understanding of ML principles, evaluation methodologies, and distributed systems; and the full lifecycle of enterprise AI applications.
  • Advanced experience with AWS and orchestration tools (Docker, Kubernetes, Terraform); demonstrated ability to integrate AI models into large‑scale production systems via APIs, data pipelines, and cloud‑native architectures.
  • Strong leadership and mentoring experience; excellent strategic thinking and problem‑solving; outstanding communication and presentation skills with experience influencing senior stakeholders.
Additional

Preferred Qualifications
  • Experience leading teams building AI‑driven systems, agent‑based architectures, or enterprise integrations with AI APIs (e.g., OpenAI, Anthropic).
  • Advanced knowledge of vector databases, embeddings, semantic search, and information retrieval; domain expertise in legal, tax, accounting, or regulated industries (e.g., investigative or large‑scale search platforms).
  • Track record of successful AI product launches and scaling AI systems to enterprise customers; experience with AI governance, model risk management, and regulatory compliance; publications, patents, or speaking experience in AI/ML.
What’s in it for You?
  • Hybrid Work Model: Flexible hybrid working environment (2–3 days a week in the office depending on the role) for office‑based roles while delivering a seamless digitally and physically…
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