Senior Data & AI Engineer

Description and Requirements
The Team You Will Join
MetLife is on a transformational journey into the New Frontier. Working closely with our business partners, we are embarking on a transformation that will drive a holistic and cohesive product-aligned model, enabled by an end-to-end delivery capability to drive our highest impact enterprise strategic agenda. Within MetLife Global Technology - Corporate Systems - Controls, our team assists our IT and business partners in solving complex operational and risk management challenges by rapidly delivering lasting transformations with speed and discipline. Driven by passion and purpose, you will be instrumental in driving change and implementing MetLife's product model for our businesses while aligning our brand and technology to bring immediate value to our customers and partners.
The Opportunity
MetLife Finance & Risk Management Technology - Controls IT is seeking a Senior Data Engineering & AI/ML Engineer to play a critical role in building and modernizing data and analytics solutions that support Risk, Compliance, and Internal Audit functions.
The ideal candidate brings strong hands‑on engineering expertise, coupled with the ability to collaborate, communicate, and lead across product, engineering, and business teams. This role requires deep experience in data engineering, system integration, and AI/ML enablement, along with a solid understanding of engineering best practices and developer enablement.
This position is both hands‑on and strategic, with responsibilities that include guiding teams through data modeling, architecture and design decisions, platform modernization, and agile delivery practices.
How You'll Help Us Build a Confident Future (Key Responsibilities)

• Partner closely with product owners and stakeholders to plan, prioritize, and deliver high‑impact business outcomes aligned with enterprise risk and control objectives.
• Lead the design, development, testing, and deployment of scalable data engineering and data processing pipelines.
• Define and maintain architecture, design, and technical documentation to support long‑term platform sustainability.
• Oversee operational support for complex data systems and workflows, including root cause analysis and issue resolution.
• Champion and promote engineering best practices across Data Engineering, Data Platforms, AI/ML, and Cloud technologies.
• Provide technical leadership and guidance to teams on data modeling, integration patterns, performance optimization, and modernization initiatives.
• Support agile delivery by translating business needs into clear technical requirements, user stories, and prioritized backlogs.

Required Skills

• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.
• Strong proficiency in Python and SQL, with deep experience in database design, query optimization, and performance tuning across large‑scale data systems.
• 5+ years of hands‑on experience building and optimizing data engineering pipelines, leveraging ETL platforms (e.g., Informatica, Pentaho), and/or Modern data platforms (e.g., Databricks, Snowflake, Hadoop).
• 5+ years of practical experience with AI/ML technologies and libraries, such as PySpark, Pandas, NumPy, LangChain, Hugging Face, and LLM/RAG integration and prompt engineering.
• 3+ experience working with GenAI / Large Language Models (LLMs) such as OpenAI and Copilot, and integration via API.
• Experience in data modeling (dimensional, canonical, or domain‑oriented models) and designing analytics‑ready datasets and semantic layers.
• Hands‑on experience with Agile delivery frameworks and DevOps tooling (e.g., Azure DevOps, GitHub, Jira).
• Excellent verbal and written communication skills, with the ability to build strong partnerships across technical and business stakeholders.

Preferred Skills

• Hands‑on experience in custom software development within a cloud‑based DevOps environment, including familiarity with CI/CD automation.
• Experience implementing data quality checks, validation frameworks, lineage, and governance controls in regulated environments.
• Hands‑on experience designing and operating data solutions on cloud platforms (preferably Azure), including storage, compute, and networking fundamentals.
• Familiarity with Enterprise Risk Management, Compliance, Internal Audit, or other GRC domains.
• Experience within Financial Services or a global insurance organization.

Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.
The expected salary range for this position is $103,300 - $154,975. This role may also be eligible for annual short-term incentive compensation. All incentives and benefits are subject to the applicable plan terms.
Benefits We Offer
Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, volunteer time off, tuition assistance and much more!
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies", Fortune World's 25 Best Workplaces™, as well as the Fortune 100 Best Companies to Work For®, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law ("protected characteristics").
If you need an accommodation due to a disability, please email us at [email protected]. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.
MetLife maintains a drug-free workplace.
$103,300 - $154,975
#BI-Hybrid