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The Lead AI Forward Engineer develops and implements AI solutions, guiding design and delivery, improving operational efficiency, and defining modular AI architecture while mentoring teams and ensuring compliance.

Lead end-to-end data science projects: gather requirements, build scalable data pipelines, develop ML and NLP models, design data stores, create dashboards in Tableau/Power BI, extract business insights, and present results to stakeholders.

Lead the DEX lifecycle: define use cases, build personas and journey maps, measure DEX scores, integrate qualitative and quantitative data, create dashboards and automation/self-healing, align DEX with business KPIs/XLAs/OKRs, integrate with ITSM and endpoint/security tooling, and mentor IT teams to improve employee technology experience and productivity.

Serve as primary customer contact for South Korea accounts to drive onboarding, product adoption, and retention. Build strategic relationships, create and execute success plans, run QBRs, monitor usage, identify upsell opportunities, and relay customer feedback to product and sales teams.

Leads a team of 6–12 Client Project Managers and oversees a portfolio of enterprise client projects. Owns delivery quality, utilization, revenue-hour targets, resource allocation, project financials, risk management, escalations, and continuous process improvement. Directly manages strategic projects, supports client satisfaction and upsell opportunities, and partners with Sales, Resource Management, Delivery, Technology, and Product teams. Also serves as a Gdansk site leader and supports global stakeholder engagement.

Leads software quality engineering through Playwright and C# UI/API automation, manual testing, test case development, framework architecture, and CI/CD quality gates. Designs scalable automation strategies, maintains E2E and API test suites, performs performance testing with JMeter, reviews code, mentors teams, supports Agile delivery and releases, and provides Tier 3 production support for complex cloud-based systems.

Design, build, and deploy AI-powered systems (RAG, custom agents, multi-component pipelines). Integrate models into production via APIs and scalable data pipelines, contribute to MLOps/LLMOps, mentor engineers, prototype new techniques, ensure ethical AI and monitoring, and optimize performance for legal/tax/compliance expert systems.

Supports sales and account management teams across Japan and Asia by handling product and policy questions, trials, regulatory documentation, order fulfillment, billing, client data, pipeline validation, compliance, and process improvements. The role also resolves customer issues, provides usage analytics, supports regional meetings, and coordinates consistent sales-support coverage across markets.

Lead complex customer engagements from discovery through production delivery by architecting, building, and deploying AI solutions. Write and review production code, guide senior engineers, make architecture and deployment decisions, and translate customer-specific learnings into scalable CoCounsel product capabilities. The role requires hands-on expertise in generative AI, LLM systems, enterprise integrations, distributed systems, cloud architecture, security, reliability, and production operations, along with strong technical leadership and customer communication.

Drive and support sales of Thomson Reuters Legal CoCounsel by partnering with sales and go-to-market teams throughout complex deal cycles. Serve as a legal AI product subject matter expert in customer meetings, translating legal workflows into tailored solutions. Develop enablement materials, competitive intelligence, and deal strategies; collaborate with Product, Marketing, Partnerships, and Enablement; and support customer success stories that demonstrate product value and accelerate adoption.