AI ML Platform Engineer Vice President

Citi • Tampa, FL

65d

About The Position

The AI & ML Platform Engineer, Vice President will be instrumental in implementing architecture and engineering processes, and best practices to enable application hosting in environments on-premises, on public cloud platforms, or as hybrid deployments. The candidate should have knowledge of AI & ML solutions, modern micro-services architectures, Kubernetes, and cloud infrastructure. The role is responsible for exploration, technical advisory, and development of platform services using secure, safe, and robust architecture(s).

Requirements

• 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.

Nice To Haves

• 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.

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.

Benefits

• In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards.
• Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.
• Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays.
• For additional information regarding Citi employee benefits, please visit citibenefits.com.
• Available offerings may vary by jurisdiction, job level, and date of hire.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Number of Employees: 5,001-10,000 employees