Senior Software Engineer - AI II at Thomson Reuters · Location…

Senior Software Engineer - AI II

Location: Mexico, Mexico City · Hybrid

Software Engineer (Full Stack)

As a Software Engineer (Full Stack) you will join our pivotal Forward Engineering team responsible for reimagining critical TR business functions by developing enterprise-grade AI systems that deliver measurable business value. This is a hands-on individual contributor role where you will work closely with senior functional leaders to facilitate end-to-end optimization of business processes and workflows through development of scalable, AI-first solutions.

About The Role

As a Software Engineer (Full Stack), you will be hands-on in designing, building, and delivering innovative AI-powered solutions leveraging platforms such as Anthropic Claude, Microsoft Copilot, GitHub Copilot, and Google Gemini, drive technical strategy and embed within CIO particularly Employee Technology Services (ETS) Team to reimagine processes and accelerate TR's AI-first transformation.

Build & Design AI-Driven Systems

• Define technical standards and best practices for rapid prototyping and lead solution discovery

• Hands-on design and prototyping of complex, enterprise-scale AI-driven systems leveraging multi-model architectures (Claude, GPT, Gemini, Llama) for employee productivity, M365 Copilot extensibility, and internal workflow automation

• Personally build engaging front ends using React, Next.js, TypeScript, and Tailwind CSS, including Microsoft Teams apps, Copilot extensions, and employee-facing AI interfaces

• Directly develop robust back-ends with Python, FastAPI, Pydantic, and cloud infrastructure, including API design, data modeling, and multi-platform AI service integration (Claude API, OpenAI API, Gemini API, Microsoft Graph API)

• Embed directly with prioritized business units, including Employee Technology Services (ETS)—to develop deep domain expertise in M365 ecosystem, employee productivity platforms, and IT service management, while building stakeholder relationships

• Partner with business leaders, functional SMEs, and product teams to co-create solutions and drive adoption

• Document solutions and architectural decisions for knowledge transfer and capability building

About You

You are fit for the position if you have:

Required Skills and Experience

Core Engineering Experience

• Bachelor's degree in computer science, engineering, or equivalent experience; Master's degree preferred

• 5 YOE of hands-on software engineering experience across the full stack (we welcome engineers who are stronger in front-end or back-end but have demonstrated capability in both)

• Excellent strategic thinking, problem-solving skills, and ability to operate effectively in complex, fast-paced environments

• Outstanding communication and presentation skills with experience influencing senior stakeholders

Cloud & Infrastructure (Required)

• Deep, production-level experience with Azure (preferred) or AWS - you should have designed, deployed, and operated systems on at least one of these platforms, including Azure OpenAI Service, Azure AI Studio, or AWS Bedrock

• Experience with cloud orchestration and infrastructure tools (Docker, Kubernetes, Terraform, CloudFormation, or similar)

• Understanding of CI/CD pipelines and modern DevOps practices (GitHub Actions, GitLab CI, Azure DevOps, or similar)

AI & Machine Learning (Required)

• Proficiency in Python and practical experience working with AI systems, including:

  • Hands-on experience with large language models (LLMs) across major AI platforms, including Anthropic Claude, Microsoft Copilot/OpenAI, Google Gemini, and Meta Llama

  • Experience building or integrating AI agents, agentic workflows, AI-powered coding assistants (GitHub Copilot, Claude Code, Gemini Code Assist), and enterprise workflow automation (ServiceNow, Jira)

  • Familiarity with LLM orchestration frameworks and AI platform SDKs (LangChain, LlamaIndex, Semantic Kernel, Anthropic API/SDK, Microsoft Copilot Studio, Google Vertex AI, or similar)

  • Familiarity with AI/ML frameworks (PyTorch, TensorFlow, or similar)

• Demonstrated expertise integrating AI models and services from multiple providers (Anthropic, OpenAI, Google, Microsoft) into production systems using APIs, data pipelines, and cloud-native architecture

• Basic understanding of vector databases and RAG (Retrieval-Augmented Generation) patterns

Data & APIs (Required)

• Experience designing and implementing RESTful APIs and/or GraphQL endpoints

• Hands-on experience with both SQL databases (PostgreSQL, MySQL, or similar) and NoSQL databases (MongoDB, DynamoDB, CosmosDB, or similar)

• Understanding of data modeling, database design, and optimization

Security & Best Practices

• Understanding of authentication and authorization patterns (OAuth 2.0, OpenID Connect, or similar)

• Knowledge of security best practices including secrets management and secure API design

Bonus Points

Advanced AI/ML Experience

• 4+ years of experience leveraging advanced AI/ML frameworks and enterprise AI platforms (Microsoft Copilot ecosystem, Claude Enterprise, Azure OpenAI, Google Vertex AI) in production systems

• Advanced knowledge of vector databases (Pinecone, Weaviate, Chroma, pgvector), embeddings, semantic search, and information retrieval systems

• Experience with prompt engineering, AI development tooling, and management platforms (LangSmith, Anthropic Workbench, Microsoft Copilot Studio, Google AI Studio, PromptLayer, or similar)

• Experience with AI governance, model risk management, and regulatory compliance

Infrastructure & Scale

• Experience with message queues and event-driven architectures (Kafka, RabbitMQ, AWS SQS/SNS, Azure Service Bus, or similar)

• Experience with serverless architecture (Azure Functions, AWS Lambda) and Microsoft Power Platform

Observability & Quality

• Production experience with APM and observability tools (Datadog, New Relic, Application Insights, or similar)

• Experience implementing comprehensive testing strategies (unit, integration, e2e) using modern testing frameworks

• Knowledge of distributed tracing and logging systems (OpenTelemetry, ELK Stack, CloudWatch)

#LI-AC1

What’s in it For You?

• Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.

• Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.

• Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.

• Industry Competitive Benefits: We offer comprehensive benefit plans to include 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. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.

• Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

• Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.

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More information about Thomson Reuters can be found on thomsonreuters.com