
Staff Software Engineer - AI II
Thomson Reuters1 day ago
Base Salary
$137k - $255k/yr
Responsibilities
- Architect and build enterprise AI systems including multi-component pipelines, RAG and knowledge-graph architectures, autonomous agents, API gateways, microservices, and modern web UIs.
- Evaluate emerging AI techniques, run proofs of concept, assess technical feasibility, and translate AI research into technical roadmaps.
- Make architecture decisions, translate business requirements into scalable specifications, mentor engineers, and provide senior technical leadership as an individual contributor.
- Implement testing, monitoring, observability, security, ethical AI practices, regulatory compliance, and MLOps/LLMOps governance for AI systems.
- Partner with researchers, engineering leadership, design, and product to deliver customer-facing AI applications and optimize latency, cost, performance, and user experience.
- Set technical priorities, influence product strategy, represent the organization at industry events, and help deliver measurable business value.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience; a master’s degree is preferred.
- 8+ years of software engineering experience, including 4+ years in senior or lead roles working on AI/ML systems.
- Hands-on software engineering experience with generative AI, RAG, or LLM-based systems across discovery, architecture, agentic tools, evaluation, deployment, and metrics.
- Expert proficiency in Python or another object-oriented language, with strong backend service and API design skills.
- Understanding of ML principles, evaluation methodologies, and distributed systems, plus experience with AI/ML frameworks such as PyTorch or TensorFlow.
- Advanced experience with AWS, Docker, Kubernetes, and Terraform, including integrating AI models into large-scale production systems through APIs, data pipelines, and cloud-native architectures.
- Strong technical leadership, mentoring, communication, and senior-stakeholder influence skills.
- Preferred experience leading agent-based systems or enterprise AI API integrations, including OpenAI or Anthropic.
- Preferred knowledge of vector databases, embeddings, semantic search, information retrieval, knowledge graphs, graph data modeling, ontologies, taxonomies, Neo4j, Amazon Neptune, GraphRAG, and entity extraction.
- Preferred experience in legal, tax, accounting, regulated industries, large-scale search, AI product launches, enterprise AI scaling, AI governance, model risk management, regulatory compliance, publications, patents, or speaking.
Benefits
- Flexible hybrid work model for office-based roles.
- Work-from-anywhere flexibility for up to 8 weeks per year, along with broader work-life balance policies.
- Career development, continuous learning, skills development, and leadership-growth programs.
- Comprehensive benefits including flexible vacation, two company-wide mental health days, Headspace access, retirement savings, tuition reimbursement, incentive programs, and wellbeing resources.
- US benefits include health, dental, vision, disability, life insurance, 401(k) with company match, paid holidays, parental leave, sabbatical leave, commuter benefits, adoption and surrogacy assistance, employee stock purchase plan, and other optional programs.
- Two paid volunteer days annually and opportunities for pro-bono consulting and ESG initiatives.
- Eligible office locations include New York City, San Francisco, Los Angeles, Irvine, McLean, and Washington, DC.
Categories
About Thomson Reuters
Thomson Reuters builds research platforms, workflow software, and data services for legal, tax and accounting, compliance, and government professionals, and operates the Reuters global news service. Flagship products include Westlaw for legal research and ONESOURCE and Checkpoint for tax and accounting, sold primarily via subscriptions and enterprise licenses. A public company headquartered in Toronto, it was formed in 2008 by combining Thomson Corporation and Reuters Group and is listed on the TSX and Nasdaq as TRI.