Lead AI Forward Engineer

Overview 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. Responsibilities 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; develop dashboards and reports. Ensure compliance with AI standards for monitoring, governance, privacy, and auditability. Evaluate and recommend AI/ML technologies and platforms (LLM orchestration, agentic frameworks, cloud AI services). Design flexible architectures that can evolve with model/provider changes and emerging AI capabilities. Establish and track SLOs/SLIs for critical AI services. Integrate AI observability tooling into CI/CD; develop automated guardrails and policy enforcement. Partner with engineering teams, service owners, and stakeholders to translate business needs into technical requirements. Communicate trade‑offs and design decisions to technical and non‑technical audiences, including senior leadership. Mentor engineers and share patterns, practices, and lessons learned. Collaborate with Product, Data Science, and AI teams to design evaluation frameworks and run tests, benchmarks, canaries, and A/B experiments. Onboard new AI use cases into the observability platform; support scaling and monitoring during major releases. Qualifications and Experience 6+ years of experience in solution architecture, technical strategy, or senior engineering roles. Experience building software prototypes and taking solutions to production in ambiguous environments. Familiarity with LLM frameworks and patterns (e.g., LangChain, LlamaIndex), RAG/vector search concepts, and enterprise integration. 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. Technical Expertise Proficiency in Python (strongly preferred) and ability to prototype and validate designs. 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. Understanding of AI/ML and LLM application patterns, including prompt design and orchestration approaches. Experience designing for latency, cost, quality, safety, and reliability trade‑offs. Benefits Hybrid work model with flexible office days. Flexibility and work‑life balance policies, including work‑from‑anywhere up to 8 weeks per year. Career development and growth programs. Competitive benefits (vacation, mental health days, Headspace app, retirement savings, tuition reimbursement, etc.). Commitment to inclusion, belonging, and social impact initiatives. Compensation Base compensation range: $118,400USD – $219,800USD (US locations). For Ontario, Canada: $140,600CAD – $190,600CAD. The range depends on knowledge, skills, and experience. Equal Employment Opportunity Thomson Reuters is an Equal Employment Opportunity Employer. We strive to provide a drug‑free workplace and reasonable accommodations for applicants with disabilities. All employment decisions will be made in accordance with applicable laws. #J-18808-Ljbffr