Senior Software Engineer – AI, Tax and Audit

Thomson Reuters

. Build and deploy production AI solutions that help tax and audit professionals improve accuracy, streamline complex work, and deliver better client outcomes .

Posted 11/6/2026full-timeUnited StatesSenior💰 $118,400 - $219,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying AI solutions for tax and audit professionals, with a strong foundation in system design and backend engineering. Proficient in translating client needs into technical solutions while managing multiple engagements and ensuring delivery excellence.

Highest-signal resume keywords

Python ProficiencyAI/ML Application DevelopmentSystem Design and ArchitectureClient-Facing Technical DeliveryExperience with Thomson Reuters Products

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Hard Skills

Software EngineeringBackend EngineeringREST APIsAsynchronous ServicesEvent-Driven SystemsRAG ArchitecturesModel Context Protocol (MCP)Infrastructure as CodeContinuous Integration and Delivery (CI/CD)Observability and AI Evaluation Tooling

Soft Skills

Problem SolvingClient CommunicationTechnical Tradeoff ExplanationDelivery Ownership

Tools & Technologies

AWSAzureGoogle CloudDatadogGrafanaPrometheusLangChainLangGraphPydanticAIAutoGen

Industry Keywords

TaxAuditRegulated DomainsAccuracyTraceabilityAudit TrailsConsultingProfessional Services

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGrafanaPrometheusPython

About the role

Key responsibilities & impact

Build and deploy production AI solutions that help tax and audit professionals improve accuracy, streamline complex work, and deliver better client outcomes
Own client delivery on simpler builds and standard integrations
Translate ambiguous client needs into technical scope, working solutions, and effective handoffs for public accounting firms, corporate tax departments, and audit practices
Build production AI applications, including RAG pipelines, custom agents, and multi-step agentic workflows
Apply AI solutions to tax preparation and review, audit testing, workpaper automation, validation, and regulatory analysis
Develop scalable, secure, and maintainable backend services
Apply architecture established with Staff and Principal engineers
Partner with Integration Engineers to connect solutions to Thomson Reuters products and client systems
Establish AI evaluation, observability, monitoring, tracing, benchmarking, and adversarial testing
Partner with Tax & Audit AI Engineers to translate tax rules and audit procedures into engineering plans, prototypes, and measurable evaluation criteria
Manage delivery across multiple engagements at agreed time allocations
Contribute technical judgment during early discovery, rapid prototyping, and pre-sales discussions
Support deployments through post-launch stabilization, incident resolution, runbooks, and support handoffs
Contribute reusable components and engineering patterns that improve future delivery

Requirements

What you’ll need

5+ years of software engineering experience
Strong foundation in system design, distributed systems, and maintainable software architecture
At least 2 years of hands-on experience building and deploying AI/ML or LLM-powered applications in production
Strong proficiency in Python and backend engineering, including REST APIs, asynchronous services, and event-driven systems
Hands-on experience with RAG architectures, vector databases, and AI orchestration frameworks such as LangChain, LangGraph, PydanticAI, or AutoGen
Experience deploying secure applications on AWS, Azure, or Google Cloud
Experience with Infrastructure as Code and continuous integration and delivery (CI/CD)
Experience with observability and AI evaluation tooling
Ability to lead client discussions, explain technical tradeoffs clearly, solve problems in ambiguous environments, and own delivery across competing priorities
Experience with Thomson Reuters tax and accounting products, such as UltraTax CS, GoSystem Tax RS, ONESOURCE, GoFileRoom, or CoCounsel, or comparable software
Experience in consulting, professional services, or client-facing technical delivery
Experience building Model Context Protocol (MCP) servers or tool integrations for AI agents
Familiarity with tax, audit, or other regulated domains where accuracy, traceability, and audit trails are essential
Experience with tools such as Datadog, Grafana, Prometheus, LangSmith, Langfuse, Braintrust, or Weights & Biases

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
Environmental, Social, and Governance (ESG) initiative opportunities
United States: health, dental, vision, disability, and life insurance programs
United States: competitive 401k plan with company match
United States: competitive vacation, sick and safe paid time off
United States: paid holidays, including two company mental health days off
United States: parental leave
United States: sabbatical leave
Optional hospital, accident and sickness insurance
Optional life and AD&D insurance
Flexible Spending and Health Savings Accounts
Fitness reimbursement
Employee Assistance Program
Group Legal Identity Theft Protection benefit
529 Plan access
Commuter benefits
Adoption & Surrogacy Assistance
Employee Stock Purchase Plan
Potential eligibility for an Annual Bonus based on enterprise and individual performance