AI Engineer

1 week ago

Irving, United States Citigroup Inc Full time

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

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