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Staff Software Engineer – AI I
Thomson Reuters. Design and lead implementation of enterprise-scale AI systems .
Tech Stack
Tools & technologiesAWSCloudDistributed SystemsDockerKubernetesMicroservicesPythonPyTorchTensorflowTerraform
About the role
Key responsibilities & impact- Design and lead implementation of enterprise-scale AI systems
- Build multi-component pipelines, RAG and knowledge graph architectures, and autonomous AI agents with multi-step reasoning
- Work hands-on across AI orchestration, RAG, API gateways, microservices, and modern web UIs
- Evaluate emerging AI techniques and drive adoption
- Run proof-of-concept work and assess feasibility of AI-driven features
- Translate AI research insights into technical roadmaps
- Represent the organization at industry conferences and events
- Make design decisions and translate business requirements into scalable technical specifications
- Mentor senior and junior software engineers
- Champion MLOps and LLMOps practices and AI model lifecycle governance
- Design and implement testing, monitoring, and observability for AI systems at scale
- Ensure compliance with ethical AI principles, security standards, and regulatory requirements
- Partner with AI researchers, engineering leadership, design, and product to deliver customer-facing applications
- Set technical priorities and remain engaged through delivery
- Optimize latency, cost, performance, and user experience
- Influence product strategy through technical expertise
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Engineering, or equivalent experience
- 5+ years of software engineering experience, including 3 years in senior or lead roles on AI/ML systems
- Hands-on experience in generative AI, RAG, or LLM-based systems, including discovery, architecture, agentic tools, evaluation, deployment, and metrics
- Expert-level proficiency in Python or another object-oriented language
- Strong backend service and API design skills
- Solid understanding of ML principles, evaluation methodologies, and distributed systems
- Working experience with AI/ML frameworks such as PyTorch or TensorFlow
- Advanced experience with AWS, Docker, Kubernetes, and Terraform
- Experience integrating AI models into large-scale production systems through APIs, data pipelines, and cloud-native architectures
- Strong technical leadership and mentoring experience as an individual contributor
- Experience leading technical direction for agent-based systems or enterprise integrations with AI APIs
- Advanced knowledge of vector databases, embeddings, semantic search, and information retrieval
- Experience with knowledge graphs, graph data modeling, ontologies, taxonomies, graph databases, GraphRAG, and entity extraction
- Domain expertise in legal, tax, accounting, regulated industries, or large-scale search platforms
- Experience launching AI products and scaling AI systems to enterprise customers
- Experience with AI governance, model risk management, and regulatory compliance
- Publications, patents, or speaking experience in AI/ML
- Ability to influence senior stakeholders
- Master’s degree preferred
Benefits
Comp & perks- Flexible hybrid working environment
- 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
- Mental, physical, and financial wellbeing resources
- 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
- 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
- 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