Lead AI Forward Engineer

Platform Engineering / Platform Services TR product teams use to run their applications Within Thomson Reuters AI Reimagine program the Lead AI Forward Engineer designs and guides the delivery of AI-powered solutions that reduce operational toil and accelerate technology teams across Platform Engineering Product Engineering and Service Management. This role operates as a forward-deployed solution architectpartnering closely with teams to identify opportunities design end-to-end architectures and drive implementations to production.

You will own solution design from concept through deployment ensuring solutions are scalable maintainable and extensible. You will evaluate emerging AI technologies (LLM orchestration agent frameworks cloud AI services) define repeatable patterns and help build organizational capability through mentorship and shared standards.

About the role:

Solution Architecture and Delivery

• Identify high-impact opportunities to apply AI automation and intelligent agents across CIO technology teams.
• Design end-to-end AI solutions including workflows integration patterns data flows and operational considerations.
• Guide implementation from prototype to production ensuring solutions meet reliability security and compliance expectations.
• Define reusable architectural patterns and reference designs to enable broader adoption across teams.
• Build scalable pipelines to collect and analyze inference and workflowlevel telemetry integrating with TRs data backbone.
• Develop dashboards and reports providing clear visibility into performance reliability safety and cost.
• Ensure compliance with TRs AI standards for monitoring governance privacy and auditability.

AI System Design and Technology Strategy

• Evaluate and recommend AI/ML technologies and platforms (LLM orchestration agentic frameworks cloud AI services) based on capability cost risk and fit.
• Design flexible architectures that can evolve with model/provider changes and emerging AI capabilities.
• Apply sound judgment on when AI is appropriate vs. when simpler automation or traditional engineering approaches are better.
• Establish and track SLOs/SLIs for critical AI services to meet enterprise reliability and compliance requirements.
• Integrate AI observability tooling into CI/CD so new models prompts and workflows are automatically enrolled in monitoring and evaluation.
• Develop automated guardrails and policy enforcement (e.g. limits anomaly detection abuse/failure pattern detection) with cloud engineering and security teams.

Cross Functional Partnership and Influence

• Partner with engineering teams service owners and stakeholders to translate business needs into technical requirements and solution designs.
• Communicate trade-offs and design decisions clearly to both technical and non-technical audiences including senior leadership when needed.
• Mentor engineers and share patterns practices and lessons learned to raise overall AI solution design maturity.
• Partner with Product Data Science and AI teams to design and run evaluation frameworks for LLMs/ML models (offline/online tests benchmarks canaries A/B experiments).
• Work with Product Data Science AI Inference Engineering and Enterprise AI teams to onboard new AI use cases into the observability platform from day one.
• Collaborate with Cloud Engineers (AWS Azure and GCP) and SREs to align AI observability with broader platform observability and capacity management.
• Support scaling and monitoring of AI infrastructure and workloads during major releases and global events.

Required Skills & Qualifications

Technical Skills

• Strong solution design/architecture capability: end-to-end system design integration patterns API thinking and operational design.
• Working knowledge of AI/ML and LLM application patterns including:
  • LLM capabilities/limitations prompt design orchestration approaches and agent workflows
  • Practical trade-offs (latency quality cost safety reliability)
  • Production AI systems and observability challenges (prompting context windows RAG hallucinations provider variability).
• Proficiency inPython(strongly preferred) and ability to prototype and validate designs with hands-on technical work.
• Cloud architecture familiarity inAWS Azure or GCP including common service patterns and enterprise constraints.
• Knowledge of distributed systems microservices CI/CD and cloudnative architectures.
• Strong communication skills: ability to document designs influence decisions and align diverse stakeholders.

About you:

Preferred Background

• 10 yearsof experience with progression in solution architecture technical strategy or senior engineering roles.
• Experience building software prototypes and taking solutions to production in ambiguous low-precedent environments.
• Familiarity with LLM frameworks and patterns (e.g. LangChain LlamaIndex) RAG/vector search concepts and enterprise integration considerations.
• Experience with DevOps/Platform Engineering/SRE principles and designing for operational excellence.
• Exposure to enterprise service management (e.g. ServiceNow/ITSM) security architecture and compliance-oriented environments.
• Demonstrated technical leadership through mentoring architectural governance or cross-team enablement.

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Whats in it For You

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal tax accounting compliance government and media. Our products combine highly specialized software and insights to empower professionals with the data intelligence and solutions needed to make informed decisions and to help institutions in their pursuit of justice truth and transparency. Reuters part of Thomson Reuters is a world leading provider of trusted journalism and news.

We are powered by the talents of 26000 employees across more than 70 countries where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity accuracy fairness and transparency are under attack we consider it our duty to pursue them. Sound exciting Join us and help shape the industries that move society forward.

As a global business we rely on the unique backgrounds perspectives and experiences of all employees to deliver on our business goals. To ensure we can do that we seek talented qualified employees in all our operations around the world regardless of race color sex/gender including pregnancy gender identity and expression national origin religion sexual orientation disability age marital status citizen status veteran status or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

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