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Software Engineer​/Architect - AI, CoCounsel FDE

Job in Frisco, Collin County, Texas, 75034, USA
Listing for: Thomson Reuters Corp.
Full Time position
Listed on 2026-10-05
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, DevOps, Backend Developer
Salary/Wage Range or Industry Benchmark: 137000 - 255000 USD Yearly USD 137000.00 255000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer / Architect - AI, CoCounsel FDE
## Staff Software Engineer / Architect - AI, CoCounsel FDEApply:
Hybrid:
United States of America, Frisco, Texas:
Canada, Toronto, Ontario:
United States of America, Ann Arbor, Michigan:
United States of America, Eagan, Minnesota:
Full time:
Posted Today:
End Date:
October 30, 2026 (30+ days left to apply):
JREQ
203830###

Job Description Thomson Reuters is looking for a
** Staff Software Engineer / Architect – AI
** to join our CoCounsel Forward Deployed Engineering team.

This role sits at the intersection of
** AI engineering, architecture, product development, and customer delivery**. You will work directly with customers to understand complex business and technical problems, design the right AI-powered solution, and help build and deploy that solution into production.

The ideal candidate is a highly hands-on AI engineer who can move comfortably between customer discovery, technical architecture, software development, and production delivery. You will contribute to reusable AI capabilities while also solving customer-specific challenges in complex enterprise environments.  ###

Key Responsibilities
* Partner directly with customers and internal stakeholders to understand business and technical problems and translate them into scalable AI solutions.
* Architect, build, and deliver production-grade AI applications and services.
* Develop solutions leveraging
** LLMs, RAG, agentic workflows, evaluation frameworks, and enterprise integrations**.
* Design secure, scalable architectures that integrate with customer-owned and Thomson Reuters infrastructure.
* Contribute hands-on to software development, APIs, services, deployment, and production operations.
* Build reusable technical components, patterns, and frameworks that can support multiple customer engagements.
* Establish appropriate
** observability, monitoring, evaluation, MLOps/LLMOps, security, and governance
** practices.
* Participate in technical design reviews and mentor engineers on architecture and implementation.
* Work across engineering, product, and customer-facing teams to drive solutions from problem discovery through production deployment.  ###

Required Qualifications
* ** 8+ years of software engineering experience**, including significant experience designing and delivering production systems.
* Strong hands-on software engineering and architecture experience.
* Demonstrated experience building and deploying
** production AI/ML or LLM-powered systems**.
* Experience with technologies and patterns such as
** LLMs, RAG, agents, evaluation, MLOps/LLMOps, observability, and enterprise integrations**.
* Experience working directly with customers or business stakeholders to identify technical problems and develop solutions.
* Strong understanding of scalable APIs, services, distributed systems, cloud platforms, and production software engineering practices.
* Ability to operate across the full solution lifecycle:
** discovery → architecture → build → deployment → production support**.
* Strong communication skills and ability to explain complex technical concepts to both technical and non-technical stakeholders.  ###

Preferred Qualifications
* Experience in
** Forward Deployed Engineering, Solutions Engineering, or customer-facing AI engineering**.
* Experience working in
** tax, audit, insurance, financial services, legal technology, or other regulated industries**.
* Experience working in enterprise SaaS, AI startups, or highly technical customer-facing engineering environments.
* Experience with security, compliance, governance, and auditability requirements for enterprise AI systems.
* Experience designing reusable platforms or frameworks across multiple customer implementations.
* Experience mentoring senior engineers or leading complex technical…
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