MetLife

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  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 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 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 

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 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 optimization