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.