Description and Requirements
Role Value Proposition:
The Platforms & Engineering organization provides modern capabilities and services that are common to the enterprise, that can be used by the various CIO and Business teams. These services range from API platform capabilities, CRM functions, Cloud Data platforms and Developer Productivity tools to name a few. The most recent addition has been with Generative AI capabilities, which has been offered as a platform to drive more reuse and ease the burden for app teams to onboard into using AI capabilities.
As part of our continued focus on driving efficiencies related to platforms and developer productivity, we are looking for an experienced Lead 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 Lead AI engineer will utilize deep learning, natural language processing, computer vision, chatbots, model fine-tuning, and retrieval augmented generation to help us improve various business outcomes and drive innovation.
Objectives of this role
- Architecture, design and development of AI applications
- Stay abreast of advancements in the AI and automation market and competitor landscape; Lead POC's and drive technical decisions for new AI capabilities stack
- Hands on work with requirements, application architecture, design, code, code-reviews, CI/CD, deployment, and trouble-shooting prod issues
- Drive new best practices and look for continuous improvements in the delivery process
- Provides estimates for work efforts on new use cases, projects and work with teams on sizing features and user stories
- Oversight (Technical guidance, code review, design review) of development work by development team members
- Research, develop, and test various language models against internal benchmarks to identify the most optimal model for the given use case
Preferred Skills and Qualifications:
- Bachelor's Degree in Computer Science, Information Systems, Business Administration, Engineering, or related field.
- 10+ years of experience in full stack engineering, especially in cloud environments, in a large enterprise
- 5+ years of Experience with cloud service providers such as Azure (mandatory), AWS & GCP (preferred)
- Expertise with the DevSecOps processes and driving improvements to Developer Experience
- Two years of experience in applying AI to practical and comprehensive technology solutions
- Experience with GenAI, LLMs, prompt engineering, ML, deep learning, Python, NLP
- Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
- Experience in C#/.Net Development, REST API development, NoSQL database design, and RDBMS design and optimizations
- Excellent analytical, verbal and written communication skills with focused attention to details, professionalism and time/task management skills, and ability to establish strong relationships.
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 2024 "World's Most Admired Companies" as well as the 2024 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 empathy, we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
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.
What We Do
Named one of Fortune’s “World’s Most Admired Companies,” MetLife is leading the global transformation of an industry we’ve defined for more than 150 years. At MetLife, every innovation and line of code is a lifeline for our customers and their families—from victims of natural disasters to people living with disabilities and beyond. With operations in more than 40 markets and leading positions across the globe, MetLife’s building a workforce of diverse and empowered voices that all belong. Join our remarkable journey—one in which you help write the next century of innovation in financial services—because with MetLife, making the world a better place is All Together Possible.
Why Work With Us
At MetLife, you’ll be working for a company whose purpose is to help customers throughout their life’s journey, and often in their most critical time of need. You’ll be a part of developing leading-edge platforms that will have a lasting impact on the lives and well-being of tens of millions of customers.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
MetLife's current workplace policies classify roles as Office, Hybrid or Virtual based on the nature of work, encouraging new ways of working together