Analytics Engineering Manager II, Generative AI

Key Skills

Aartificial intelligence, Apache Hadoop, AWS Sagemaker, Cloud computing, Data Analytics, Effective communication skills, Elasticsearch, Generative AI, HDFS, JavaScript, Kubernetes-K8s, Machine learning techniques, Natural Language Processing (NLP), Natural Language Understanding-NLU, PySpark, R Programming, Snowflake, Spark Core, TypeScript

Job Description

Who we are:

American International Group, Inc. (AIG) is a leading global insurance organization. AIG member companies provide a wide range of property casualty insurance in approximately 70 countries and jurisdictions. These diverse offerings include products and services that help businesses and individuals protect their assets and manage risks.

We’re also committed to making a positive difference for our colleagues and in the communities where we work and live. We encourage colleagues to give back to the causes they care most about, supporting these efforts through our Volunteer Time Off and Matching Grants Programs.

Analytics Innovation:

We are a focused team within AIG extracting insights from data to enable better decision-making, provide better service and experience, and drive business growth. The team leverages latest technologies and approaches to solve business problems, optimize processes and improve organizational performance. We seek highly capable and motivated individuals to join us in this mission.

About the role:

As an Analytics Engineer, you will be responsible for driving best in class model engineering and operationalization by designing, building, and maintaining cloud native big data solutions. You are passionate about driving change and delivering value. You bring data curation and programming skills with a track record of creating solutions that enable analytics innovation and decision insights. 

What you need to know: 

• Collaborate with stakeholders to understand needs and find innovative data solutions

• Deliver and provide ongoing maintenance of solutions that continually deliver business value
• Work closely with data architects and senior engineers to implement sustainable best practices and technical design
• Work with analytics, application development and data science teams
• Implement rigorous standards and documentation for software development and code management, and design requirements that provide quality work on fast paced schedules
• Manage and prioritize project timelines and deliverables, work with external dependencies, and communicate with stakeholders
• Share knowledge and best practice across the enterprise
• Collaborate with external and internal data engineering teams

What we’re looking for: 

Experience:

• 10+ years in technology / programming / application delivery
• 5+ years in financial services or insurance industry

Skills:

• Master’s degree computer science, software engineering or equivalent demonstration of advanced technical abilities

• Experience with NLP / NLU / Generative AI technologies and methodologies
• Excellent programming skills PySpark, R, Spark SQL, Java, JavaScript, and TypeScript
• Experience with Hadoop, HDFS, Spark, Kubernetes, and ElasticSearch
• Experience deploying, maintaining, and monitoring inference models
• Experience with Palantir Foundry, Snowflake, AWS SageMaker or others with AI/ML and cognitive services from a cloud provider
• Experience with code versioning processes
• Excellent written and verbal communication skills
• Ability to travel as needed.

For positions based in Jersey City, the base salary range is $94,000-$133,000. For positions based in NYC, the base salary range is $98,000-$139,000. In addition, the position is eligible for a bonus in accordance with the terms of the applicable incentive plan.