Citi Group AI & ML Platform Engineer – VP Hybrid 

United States, Texas, Houston 

497018044

Responsibilities:

• Design and deliver AI & ML Platform as a Service solution(s) including Generative AI (GenAI) capabilities as turn-key offerings to support Citi lines of businesses.
• Work on designing hybrid cloud architecture patterns, product evaluations, and enablement efforts to build solutions using IaaS, PaaS, and SaaS capabilities.
• Contribute towards driving strategy and roadmap for evolving Citi’s data analytics ecosystem.
• Stay up to date with industry trends and advancements in AI technologies including GenAI and apply them to build new capabilities.

Qualifications:

• Strong understanding of private and public cloud technologies, architectures, network designs, etc., along with working experience of one of the major public cloud service providers – AWS, GCP, or Azure. GCP experience preferred.
• Knowledge of GenAI services on GCP, AWS or Azure.
• Proven experience and understanding of working with AI & ML technologies.
• Understanding of platform architecture, high availability, fail-over, disaster recovery planning, and implementation considerations based on service level agreements.
• Knowledge of business intelligence solutions such as Tableau, Qlik, etc. and analytics solutions such as H2O, Dataiku, Google Vertex AI, etc.
• Exposure to Big Data technologies like Hadoop, Spark, Hive, Impala, HBase, YARN, etc. using distribution from Cloudera or MapR. Cloudera experience preferred.
• Hands on work with one of the major programming languages Java, Python, Ruby, etc.
• Working knowledge of container technologies, Kubernetes, Infrastructure as Code (IaC), and CI/CD.
• Excellent written and verbal communication skills.
• Capable of building, articulating, and presenting new ideas to technical, non-technical, and business communities.
• Experience managing vendor interactions for troubleshooting sessions, enhancement requests, and guiding vendor roadmaps to meet Citi standards and functional requirements.
• Self-starter able to work with minimal supervision and in a global team of members with diverse skills and backgrounds.

Preferred Qualifications:

• Experience in moving application workloads from on-premises Hadoop platforms to GCP (Google Cloud Platform) IaaS services like Google Cloud Engine, and Google Cloud Storage and/or PaaS services like Dataproc, Big Query, and Big Table.

Education:

• Bachelor's degree required, 8 or more years of experience in relevant technologies

Anticipated Posting Close Date: