Engineering Sr Lead Analyst

Citi•Tampa, FL

14d•Hybrid

About The Position

Citibank, N.A. seeks an Engineering Senior Lead Analyst for its Tampa, Florida location. Duties: Create and deploy AI based Guardrail solution for Generative AI to protect enterprise against data leakage, jailbreak, prompt injection with millisecond response latency while serving multi thousands request per minute. Architecture, Engineering, and maintenance of analytics services comprising open-source and commercial tooling for enterprise use cases leveraging private & public cloud container technologies like Blue Data / HP Ezmeral, RedHat OpenShift, GKE . Orchestrate & manage accelerated analytics infrastructure including GPU hardware and related software suites for the enterprise. Engineering & maintenance of big data analytics components including ingestion and consumption leveraging tools like Datameer, Anaconda, R. Engineering certification and manage enterprise-wide deployment of open-source components adhering to enterprise risk management frameworks. Engineer deployments for various commercial artificial intelligence and machine learning tools including Data Robot, Dataiku, H20, Jupyter Notebooks, and Python/R distributions. Facilitate and participate in the functional and technical evaluation of new technologies deployed internally and externally in coordination with multiple stakeholders. Build Architecture and engineering process for life cycle maintenance of Business Intelligence product like MicroStrategy, IBM Cognos and integration with data warehouse and data lake solutions. Create turn-key analytics service solution including hybrid infrastructure spanned across data center and public cloud infrastructure for business application consumption. Oversee implementation of robust event-driven architecture for real time application and analytics, inventory management, capacity planning for hardware and software consumption. Evaluate and remediate all security vulnerabilities in service deployments ensuring compliance with enterprise security commitments. Create automated workflows to provide uniform autonomous experience of business on provisioning, operations, and maintenance of scalable distributed platform. Define patterns to facilitate seamless data consumption layer from multiple data storage platforms like HDFS, RDMS, and object store for modeling and analytics workload within enterprise security standards. Foster business application towards adoption of the right toolset for business use cases and provide guidance for modern hardware acceleration layers implementation. Provide fault tolerant highly available solutions that comply with organizational disaster recovery standards. Implement end-to-end security for data in motion and rest. Strategize continuous delivery pipelines for business artifacts while integrating with standard development tools that include Jfrog Artifactory, Jenkins, BMC RLM, and Git. Provide necessary validation layers to meet regulatory guidelines for the firm. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.

Requirements

Requires a Bachelor’s degree, or foreign equivalent, in Computer Science, Computer Engineering, Software Engineering or related field and 6 years of progressively responsible, post-baccalaureate experience as a Software Engineer, Data Engineer, Technical Consultant, or related position in a global technology consulting and software services organization.
6 years of experience must include: Deliver turn-key data analytics services using hybrid infrastructure spanned across data center and public cloud platform(s) for application and end user consumption
Engineer and productionize analytics services using private cloud container technologies like Blue Data / HP Ezmeral or similar
Design and develop Artificial Intelligence & Machine Learning solutions offering tools and capabilities including Data Robot, Dataiku, H20, GPUs.
Enable self-service analytics solution using Arcadia Data or similar over distributed data storage platforms, including HDFS, Hive.
Engineering integrations of analytics tooling including Dataiku and similar with federated data platforms like Starburst and Snowflake using hybrid cloud architecture patterns
Provide Business Intelligence System Infrastructure Administration and maintenance for tools like MicroStrategy and IBM Cognos while participating in framework analysis, design patterns, including vulnerability management and application security
Identify areas to reduce manual effort and increase Customer Experience, participate in end-to-end review of faults and work with multiple vendors to deliver effective solutions.

Responsibilities

Create and deploy AI based Guardrail solution for Generative AI to protect enterprise against data leakage, jailbreak, prompt injection with millisecond response latency while serving multi thousands request per minute.
Architecture, Engineering, and maintenance of analytics services comprising open-source and commercial tooling for enterprise use cases leveraging private & public cloud container technologies like Blue Data / HP Ezmeral, RedHat OpenShift, GKE .
Orchestrate & manage accelerated analytics infrastructure including GPU hardware and related software suites for the enterprise.
Engineering & maintenance of big data analytics components including ingestion and consumption leveraging tools like Datameer, Anaconda, R.
Engineering certification and manage enterprise-wide deployment of open-source components adhering to enterprise risk management frameworks.
Engineer deployments for various commercial artificial intelligence and machine learning tools including Data Robot, Dataiku, H20, Jupyter Notebooks, and Python/R distributions.
Facilitate and participate in the functional and technical evaluation of new technologies deployed internally and externally in coordination with multiple stakeholders.
Build Architecture and engineering process for life cycle maintenance of Business Intelligence product like MicroStrategy, IBM Cognos and integration with data warehouse and data lake solutions.
Create turn-key analytics service solution including hybrid infrastructure spanned across data center and public cloud infrastructure for business application consumption.
Oversee implementation of robust event-driven architecture for real time application and analytics, inventory management, capacity planning for hardware and software consumption.
Evaluate and remediate all security vulnerabilities in service deployments ensuring compliance with enterprise security commitments.
Create automated workflows to provide uniform autonomous experience of business on provisioning, operations, and maintenance of scalable distributed platform.
Define patterns to facilitate seamless data consumption layer from multiple data storage platforms like HDFS, RDMS, and object store for modeling and analytics workload within enterprise security standards.
Foster business application towards adoption of the right toolset for business use cases and provide guidance for modern hardware acceleration layers implementation.
Provide fault tolerant highly available solutions that comply with organizational disaster recovery standards.
Implement end-to-end security for data in motion and rest.
Strategize continuous delivery pipelines for business artifacts while integrating with standard development tools that include Jfrog Artifactory, Jenkins, BMC RLM, and Git.
Provide necessary validation layers to meet regulatory guidelines for the firm.

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.

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