AI Engineer - Vice President

AI Engineer - Vice President

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

The AI Engineer would be responsible for design and development of novel AI/ML solutions using large language models and agentic frameworks to address business use cases. S/he will help enable AI application hosting in environments on-premises, on public cloud platforms, or as hybrid deployments. The candidate should have knowledge of AI/ML solutions including Generative AI, micro-services architectures, Kubernetes, & cloud infrastructure.

Responsibilities

• Design, develop, and operate AI solutions including but not limited to inference, Retrieval-augmented Generation (RAG), similarity search, guardrails, evaluation, and observability.
• Leverage open source and commercial large language model (LLM) and SaaS/PaaS technologies such as Llama, Gemini, Vertex AI, OpenAI etc. to build AI solutions.
• Introduce optimization techniques to improve performance, scalability, latency and throughput of largescale AI systems.
• Contribute towards driving strategy and roadmap for evolving Citi's AI ecosystem.
• Stay abreast with industry trends and advancements in AI technologies including GenAI and apply them to build cutting edge solutions.

Required Qualifications

• Hands-on experience with developing AI systems for real-world use cases.
• Knowledge of GenAI services on GCP, AWS or Azure.
• 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.
• Working knowledge of container technologies, Kubernetes, Infrastructure as Code (IaC), and CI/CD.

Preferred Qualifications

• Strong understanding of private and public cloud technologies, architectures, and network designs and working experience of one of the major public cloud service providers AWS, GCP, or Azure.
• Experience working with AL/ML algorithms, LLM inferencing and fine-tuning, vector stores, etc. using Python, Java, or similar programming language(s).
• Knowledge of business intelligence solutions such as Tableau, Qlik, etc. and analytics solutions such as H2O, Dataiku, Google Vertex AI, etc.
• Excellent written and verbal communication skills.
• Capable of presenting new ideas to technical and non-technical audience.
• Experience managing vendor interactions for troubleshooting sessions, enhancement requests, and guiding vendor roadmaps to meet Citi standards and functional requirements.
• Self-starter and a good team player who could work in a global team of members with diverse skills.

Education

• Bachelor's/University degree, Master's degree preferred