AI Engineer & Architect Production LLM Solutions

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 initiatives. #LI-TH1 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 for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance:
Flex My…