# Lead AI Forward Engineer **Company**: Thomson Reuters **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Category**: Engineering **Industry**: Technology **Apply**: https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/India-Bengaluru-Karnataka/Lead-AI-Forward-Engineer_JREQ197282?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_82aa2722-c19 ## Description The Lead AI Forward Engineer designs and guides the delivery of AI-powered solutions that reduce operational toil and accelerate technology teams across the CIO organization. This role operates as a forward-deployed solution architect and engineer, partnering closely with teams to identify opportunities, design end-to-end architectures, and drive implementations to production. **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 workflow-level telemetry, integrating with TR's data backbone. - Develop dashboards and reports providing clear visibility into performance, reliability, safety, and cost. - Ensure compliance with TR's 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** - 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 in Python (strongly preferred) and ability to prototype and validate designs with hands-on technical work. - Cloud architecture familiarity in AWS, Azure, or GCP, including common service patterns and enterprise constraints. - Knowledge of distributed systems, microservices, CI/CD, and cloud-native architectures. - Strong communication skills: ability to document designs, influence decisions, and align diverse stakeholders. **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. - 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. - Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. - Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. ## Skills ### Required - Python - AI/ML - LLM - cloud architecture - distributed systems - microservices - CI/CD - cloud-native architectures ### Nice to have - LangChain - LlamaIndex - RAG/vector search concepts - enterprise integration considerations - DevOps/Platform Engineering/SRE principles --- Source: [Apply at thomsonreuters.wd5.myworkdayjobs.com](https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/India-Bengaluru-Karnataka/Lead-AI-Forward-Engineer_JREQ197282?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)