MetLife

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Senior Principal AI Engineer

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Description and Requirements
Role Overview
The Cloud Engineering and Enablement organization provides services for application and platform teams to utilize cloud services in an efficient, safe, and compliant manner. We maintain a global view of cloud adoption and leverage infrastructure as code to engineer a cloud platform providing self-service capabilities and metrics to drive desired behaviors around financial operations, security posture, and overall good hygiene for cloud-based applications.
As part of our continued focus on driving efficiencies related to cloud adoption and developer productivity, we are looking for an experienced Senior Principal AI engineer to work as part of a multidisciplinary team with the mission to research, develop, and implement responsible use of AI to provide superior customer service and create operational and market differentiating capabilities to further establish MetLife as a global industry leader in the Insurance and Financial Services industry.
The Senior Principal AI engineer will utilize deep learning, neuro-linguistic programming, computer vision, chatbots, model fine-tuning, and retrieval augmented generation to help us improve various business outcomes and drive innovation.
Objectives of this role

Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy
Understand company and customer challenges and how integrating AI capabilities can help lead to solutions
Lead cross-functional teams in identifying and prioritizing key areas of business where AI solutions can drive significant business benefit
Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards

Responsibilities

Advise senior executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team, internal partners, and executive leadership
Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation
Stay abreast of advancements in the AI and automation market and competitor landscape
Research, develop, and test various language models against internal benchmarks to identify the most optimal model for the given use case

Reports to: VP, Cloud Engineering
Preferred skills and qualifications

Bachelor's Degree in Computer Science, Information Systems, Business Administration, Engineering, or related field.
10+ years of experience in cloud and infrastructure engineering in a large enterprise
5+ years of Experience with cloud service providers such as Azure (mandatory), AWS & GCP (preferred)
Two or more years of experience in applying AI to practical and comprehensive technology solutions
Experience with ML, deep learning, TensorFlow, Python, NLP
Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
Experience in REST API development, NoSQL database design, and RDBMS design and optimizations

Equal Employment Opportunity/Disability/Veterans
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.
#BI-Hybrid

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Jhair Williams

Director, Product Development Engineering

CREATIVE FREEDOM

Marrying tech tools and human ideation

“As a techie, it’s exciting to work with cutting-edge technology — but tools alone only go so far,” said Williams. Ideating and innovating on how to solve business problems leveraging various technologies is the cornerstone of the product development engineering team’s daily work. “Our team is given the freedom to bring forth ideas and marry them with our tech,” said Williams. “Innovation is not limited to any platform or process – the solutions we drive can be very diverse! You could be working on rolling out a new transaction in our chatbot, enabling a self-service capability that improves speed to market from three days to five minutes or moving a solution to Azure cloud.”

There is a lot of discovery and learning for everyone at MetLife, which creates opportunities for growth by experimenting and becoming subject matter experts (SMEs) while developing new and marketable career skills.

Michael Ivanov

Full Stack Software Engineer

MODERNIZATION FOR ALL

All things agile, the cloud, and DevOps

MetLife’s organization-wide shift to DevOps and the cloud has created endless opportunities for Ivanov. “We are capitalizing on many modern technologies and best practices, which have led to exciting and technically challenging projects. These efforts have improved our ability to scale, increase our team’s agility and ensure that we are cloud-ready moving forward. We now deliver greater value through better-quality code in less time.” Ivanov's team is focused on agility, containerization, cloud readiness, build/release pipeline automation, test process improvements and more. “At MetLife, I have the opportunity to learn and experiment with cutting-edge technologies and tools while leveraging the insights of fellow industry experts.”

I am particularly passionate about the data pipeline and business intelligence reporting work that we are spearheading across MetLife. This work will drive new clarity and visibility to the business, allowing them to be more hands-on with data.

Pushpalata Sail

Scrum Lead lll

RESOURCES FOR GROWTH

Equipping teams with tools to thrive

MetLife’s resources for staying informed of emerging tech has equipped Sail with a variety of ways to experiment and gain new skills. These resources include: MyPath, an internal forum in which employees identify compelling projects or seek to learn technologies; Pluralsight, an external resource which aids technologists in upskilling; Women in Tech, an internal community which strives to provide networking for the next generation of women leaders in tech; and the MetLife Sponsor program, which provided Sail with the opportunity to attend the Dale Carnegie Training Program. “This world-famous course gave me confidence to gain the command I needed both in my work as a technologist and my personal life,” she said.

These resources enabled me to seek challenges and collaborations with other leaders in the business, to learn new technologies like Cloud Computing and DevOps and to accelerate across MetLife to ‘win the future’ — as we say it!