Description
Thomson Reuters is looking for a Principal Software Engineer / Architect – AI, CoCounsel Forward Deployed Engineering (FDE) to help design, build, and deliver production AI solutions for complex customer environments.
This is a highly technical, hands-on individual contributor role. You will work directly with customers, product teams, and engineers to understand difficult business and technical problems, architect solutions, and personally contribute production code.
Key Responsibilities
- Lead highly complex technical and customer engagements from discovery through production delivery.
- Architect, build, and deploy production AI solutions within customer and enterprise environments.
- Write production code regularly and review the work of Senior, Staff, and Forward Deployed Engineers.
- Provide technical direction across complex AI, software architecture, integration, security, and deployment decisions.
- Work directly with customers to understand their technical environments, constraints, and business needs.
- Partner closely with Product and Engineering to translate customer learnings into scalable product capabilities.
- Identify patterns across client engagements and recommend improvements to the core CoCounsel platform.
- Guide engineers through complex technical challenges through hands-on development, architecture reviews, mentoring, and technical leadership.
- Influence technical strategy across Forward Deployed Engineering and related product and engineering teams.
- Evaluate new technologies and approaches that improve AI delivery, reliability, scalability, and customer outcomes.
- Communicate complex technical decisions clearly to engineering teams, product leaders, executives, and customer stakeholders.
- Serve as a senior technical representative for Thomson Reuters in high-impact customer engagements.
Required Qualifications
- 12+ years of software engineering experience, including significant technical leadership at the Principal, Architect, or highest individual-contributor level.
- Deep experience designing and delivering complex production software systems.
- Strong hands-on software engineering skills with recent experience personally writing and reviewing production code.
- Significant experience with AI/ML, Generative AI, or LLM-powered systems in production environments.
- Experience architecting and delivering AI solutions that integrate with enterprise or customer-owned infrastructure.
- Strong understanding of distributed systems, APIs, system integration, cloud architecture, scalability, reliability, and production operations.
- Demonstrated experience leading highly complex technical initiatives or customer engagements end-to-end.
- Ability to translate customer-specific technical work into reusable, scalable product capabilities.
- Experience providing technical guidance and mentorship to Senior and Staff-level engineers.
- Strong judgment around architecture, technical tradeoffs, security, reliability, and production deployment.
- Excellent communication skills with the ability to work effectively with engineers, product teams, executives, and customer stakeholders.
Preferred Qualifications
- Experience building or deploying LLM, agentic AI, RAG/retrieval, or other Generative AI systems in production.
- Experience in Forward Deployed Engineering, customer engineering, solutions engineering, or another deeply technical customer-facing engineering environment.
- Experience working with enterprise customers and complex customer-owned infrastructure.
- Experience operating within legal technology, financial services, professional services, or other highly regulated environments.
- Familiarity with security, privacy, governance, or fiduciary-grade requirements associated with enterprise AI deployments.
- Demonstrated technical presence through open-source contributions, technical publications, conference presentations, patents, industry leadership, or equivalent technical recognition.
- Experience influencing product strategy based on direct customer and field experience.
What's in it For You?
- Hybrid Work Model: flexible hybrid working environment for office-based roles.
- Flexibility & Work-Life Balance: supportive workplace policies, including work from anywhere for up to 8 weeks per year.
- Career Development and Growth: culture of continuous learning and skill development.
- Industry Competitive Benefits: comprehensive benefit plans, including 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.
- Social Impact: opportunities to make an impact in the community, including two paid volunteer days off annually.
- Making a Real-World Impact: helping customers pursue justice, truth, and transparency.