AI Python Engineer
We are seeking an AI Python Engineer to join our team at Marsh. This role will be based in Mexico City. This is a hybrid role that has a requirement of working at least three days a week in the office. As an AI Python Engineer, you will demonstrate strong ownership, and is eager to grow within a fast-moving, AI-driven environment.
Key responsibilities
- Contribute to the development and maintenance of Python-based pipeline components
- Work with AI tools, agents, and skills to support automated document extraction and workflow orchestration
- Help improve ingestion, parsing, validation, and processing logic across the pipeline
- Support integrations with external systems and services, including Databricks, GitHub, Azure, PostgreSQL, MongoDB, Copilot and document repositories
- Assist in debugging, testing, and evaluating AI-assisted outputs
- Contribute to the reliability, maintainability, and scalability of the platform
- Proactively learn the business domain, technical stack, and evolving AI tooling
- Communicate effectively in English with technical and non-technical stakeholders
Required qualifications
- Around 3 years of professional software development experience
- Strong proficiency in Python
- Familiarity with AI tools, agents, and modern AI application workflows
- Demonstrated ability to work independently, learn quickly, and take initiative
- Strong English communication skills, both written and verbal
- Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Data Science, or a related field preferred
Preferred qualifications
- Experience with LLM orchestration frameworks such as LangChain or LangGraph
- Exposure to Databricks, Azure, PostgreSQL, MongoDB, or MLflow
- Experience building or supporting AI-enabled applications or workflow automation systems
- Familiarity with document processing, data pipelines, or production-grade automation
- A proactive mindset and interest in continuous learning
Why join our team:
- We help you be your best through professional development opportunities, interesting work and supportive leaders.
- We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
- Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.
Skills Required
- Approximately 3 years of professional software development experience
- Strong proficiency in Python
- Familiarity with AI tools, agents, and modern AI application workflows
- Ability to work independently, learn quickly, and take initiative
- Strong English communication skills, written and verbal
- Bachelor's degree in Computer Science, Software Engineering, IT, AI, Data Science, or related field
- Experience with LLM orchestration frameworks such as LangChain or LangGraph
- Exposure to Databricks, Azure, PostgreSQL, MongoDB, or MLflow
- Experience building or supporting AI-enabled applications or workflow automation systems
- Familiarity with document processing, data pipelines, or production-grade automation
- Proactive mindset and interest in continuous learning
Marsh McLennan Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Marsh McLennan and has not been reviewed or approved by Marsh McLennan.
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Leave & Time Off Breadth — Leave offerings are described as generous, including sizable PTO, paid holidays, paid sick days, and additional time off such as paid volunteer time and “Summer days.” These time-off benefits are portrayed as a standout part of the overall rewards package.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive, spanning medical, dental, and vision options, with additional supports like disability and life insurance and access to mental health resources and an EAP. The breadth of plan options is positioned as a core strength of the benefits package.
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Retirement Support — Retirement benefits are framed as solid, with 401(k) programs and employer matching frequently highlighted alongside other financial programs. Stock purchase options are also referenced as an additional wealth-building component of the total rewards mix.
Marsh McLennan Insights
What We Do
Marsh McLennan (NYSE: MMC) brings together nearly 78,000 experts in risk, strategy, and people across Marsh, Guy Carpenter, Mercer, and Oliver Wyman, serving clients in over 130 countries. Marsh enables enterprise worldwide by helping clients manage risks, transforming uncertainty into opportunity. Guy Carpenter helps clients grow profitably with reinsurance broking expertise, advisory services, and advanced analytics. Mercer helps organizations advance the health, wealth, and careers of their most vital asset — their people. Oliver Wyman’s expertise in strategy, operations, risk, and organization transformation changes what is possible for our clients, their industries, and society. Together, we combine a unique range of capabilities to help our clients solve problems, seize opportunities, and build lasting success in increasingly complex operating environments.








