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Software Engineer - AI II
Remote / Online - Candidates ideally in
Eagan, Dakota County, Minnesota, USA
Listed on 2026-06-11
Eagan, Dakota County, Minnesota, USA
Listing for:
Refinitiv
Full Time, Part Time, Remote/Work from Home
position Listed on 2026-06-11
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Engineer, Cloud Engineer - Software
Job Description & How to Apply Below
## Staff Software Engineer - AI IIApplyremote type:
Hybrid locations:
United States of America, Eagan, Minnesota:
United States of America, Frisco, Texas:
United States of America, New York, New York:
Canada, Toronto, Ontario:
United States of America, Ann Arbor, Michigan time type:
Full time posted on:
Posted Todayjob requisition :
JREQ
198263
** Staff Software Engineer (AI) – Forward Engineering
**** Build the future of AI‐powered systems at Thomson Reuters
** Join our Forward Engineering team and help reinvent how Thomson Reuters operates. As a Staff Software Engineer (AI), you'll architect and prototype AI‐driven systems—multi‐agent workflows, advanced RAG pipelines, intelligent automation—and work directly with business and product leaders to turn real problems into transformative, AI‐first solutions.
This is a hands‐on, high‐influence role for an engineer who thrives at the intersection of systems design, applied AI, and cross‐functional partnership.
** About
The Role
*** Build enterprise‐grade AI systems — including domain‐specific agent frameworks and advanced RAG architectures.
* Drive AI innovation by leading proofs of concept, evaluating emerging techniques, and translating research into deployable solutions.
* Own architecture — converting business needs into scalable designs, defining patterns, and guiding engineering best practices (MLOps / LLMOps).
* Partner across TR — embedding with business units, SMEs, and product teams to co‐create AI solutions and accelerate adoption.
* Scale prototypes into production and help shape engineering standards for TR’s AI‐first transformation.
** About You
*** 8+ years in software engineering, with 4+ years leading AI/ML system development.
* Deep expertise in Python and modern ML/AI frameworks (PyTorch, Tensor Flow, JAX).
* Strong foundations in machine learning, distributed systems, and scalable architectures.
* Demonstrated ownership of AI lifecycle: deployment, monitoring, model management, evaluation.
* Experience with AWS/Azure/GCP and infrastructure tooling (Docker, Kubernetes, Terraform).
* Proven ability to integrate AI into production systems using APIs, pipelines, and cloud‐native patterns.
* Experience designing and validating agentic systems, including evaluation frameworks for non‐deterministic model behavior.
** AI‐Native Engineering Expectations
*** Comfortable using AI coding tools (Copilot, Cursor, Cline, Claude Code) to quickly understand codebases, generate solutions, and accelerate development.
* Able to work with AI agents to scale output—parallelizing work streams, speeding code review, and rapidly iterating based on feedback.
* Track record of rapid prototyping, moving from idea → proof of concept at startup speed.
** Preferred
* ** Experience leading teams that build internal AI prototypes or agent‐driven systems.
* Strong knowledge of vector DBs, embeddings, semantic search, or IR systems.
* History of launching and scaling AI solutions inside enterprise environments.
* Familiarity with AI governance, model‐risk management, or regulated workflows.
* Publications, patents, or speaking experience in AI/ML.#LI-SB1
This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.
** What’s in it For You?**
* ** Hybrid Work Model:
** We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
* ** Flexibility & Work-Life Balance:
** Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
* ** Career Development and Growth:
** By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first…
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