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Staff Software Engineer / Architect - AI, CoCounsel FDE
Thomson Reuters. Partner directly with customers and internal stakeholders to understand business and technical problems and translate them into scalable AI solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and delivering scalable AI solutions, with a strong focus on LLMs, MLOps, and production-grade software engineering practices. Proven ability to collaborate with stakeholders and mentor engineering teams while ensuring compliance and security in enterprise AI systems.
Highest-signal resume keywords
AI Application DevelopmentMLOps/LLMOps ImplementationProduction System ArchitectureCustomer EngagementObservability and Monitoring
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringAI/ML Systems DevelopmentAPI DesignDistributed SystemsCloud PlatformsSecurity PracticesGovernance FrameworksEvaluation FrameworksReusable Component DesignEnterprise Integrations
Soft Skills
Strong CommunicationMentoring
Industry Keywords
Forward Deployed EngineeringSolutions EngineeringFinancial ServicesLegal TechnologyEnterprise SaaSComplianceAuditabilityTaxInsuranceRegulated Industries
Tech Stack
Tools & technologiesCloudDistributed Systems
About the role
Key responsibilities & impact- Partner directly with customers and internal stakeholders to understand business and technical problems and translate them into scalable AI solutions
- Architect, build, and deliver production-grade AI applications and services
- Develop solutions leveraging LLMs, RAG, agentic workflows, evaluation frameworks, and enterprise integrations
- Design secure, scalable architectures integrating customer-owned and Thomson Reuters infrastructure
- Contribute hands-on to software development, APIs, services, deployment, and production operations
- Build reusable technical components, patterns, and frameworks supporting multiple customer engagements
- Establish observability, monitoring, evaluation, MLOps/LLMOps, security, and governance practices
- Participate in technical design reviews and mentor engineers on architecture and implementation
- Work across engineering, product, and customer-facing teams from problem discovery through production deployment
Requirements
What you’ll need- 8+ years of software engineering experience, including significant experience designing and delivering production systems
- Strong hands-on software engineering and architecture experience
- Demonstrated experience building and deploying production AI/ML or LLM-powered systems
- Experience with LLMs, RAG, agents, evaluation, MLOps/LLMOps, observability, and enterprise integrations
- Experience working directly with customers or business stakeholders to identify technical problems and develop solutions
- Strong understanding of scalable APIs, services, distributed systems, cloud platforms, and production software engineering practices
- Ability to operate across discovery, architecture, build, deployment, and production support
- Strong communication skills and ability to explain complex technical concepts to technical and non-technical stakeholders
- Preferred: experience in Forward Deployed Engineering, Solutions Engineering, or customer-facing AI engineering
- Preferred: experience in tax, audit, insurance, financial services, legal technology, or other regulated industries
- Preferred: experience in enterprise SaaS, AI startups, or highly technical customer-facing engineering environments
- Preferred: experience with security, compliance, governance, and auditability requirements for enterprise AI systems
- Preferred: experience designing reusable platforms or frameworks across multiple customer implementations
- Preferred: experience mentoring senior engineers or leading complex technical initiatives
Benefits
Comp & perks- Flexible hybrid working environment for office-based roles
- Work from anywhere for up to 8 weeks per year
- Flexible vacation
- Two company-wide Mental Health Days off
- Headspace app access
- Retirement savings
- Tuition reimbursement
- Employee incentive programs
- Resources for mental, physical, and financial wellbeing
- Two paid volunteer days off annually
- Pro-bono consulting project opportunities
- ESG initiative opportunities
- United States: health, dental, vision, disability, and life insurance programs
- Competitive 401k plan with company match
- Competitive vacation, sick and safe paid time off
- Paid holidays, including two company mental health days off
- Parental leave
- Sabbatical leave
- Optional hospital, accident and sickness insurance paid 100% by the employee
- Optional life and AD&D insurance paid 100% by the employee
- Flexible Spending and Health Savings Accounts
- Fitness reimbursement
- Employee Assistance Program
- Group Legal Identity Theft Protection benefit paid 100% by employee
- 529 Plan access
- Commuter benefits
- Adoption & Surrogacy Assistance
- Employee Stock Purchase Plan