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Principal Generative AI Engineer, SVP
Citigroup Inc
3 hours ago
Full-time
On-site
Jacksonville, Florida, United States
Principal Generative AI Engineer, SVP
Citi is looking for a Principal Generative AI Engineer to lead the design, development, and deployment of intelligent operations and automation platforms within the AI Automation Forward Deployed Engineering (FDE) team, part of Consumer Operations Technology division. In this senior role, you will set the technical direction for generative AI solutions from LLM orchestration and RAG pipelines to AI governance frameworks, ensuring our AI capabilities meet the highest standards of security, compliance, and reliability in financial services. This is a high-impact opportunity to shape how Citi applies cutting-edge AI at scale, working alongside senior technology leaders across a global organization. Responsibilities
Architect and deliver end-to-end generative AI solutions for intelligent operations, including advanced chatbots, agentic workflow automation, and AI-assisted decision platforms that improve operational efficiency at scale. Lead the engineering of LLM pipelines by fine-tuning, prompt-engineering, and deploying open-source models such as Llama, Mistral, and Gemma alongside proprietary models via Google Vertex AI. Build and maintain Retrieval-Augmented Generation (RAG) pipelines using vector databases such as Pinecone, Milvus, and Chroma to enhance model accuracy and contextual relevance. Design and implement AI governance frameworks, including guardrails (NeMo Guardrails, Llama Guard), deterministic controls, semantic routing, and hallucination detection systems to ensure safe and compliant production AI. Deploy scalable, cloud-native AI infrastructure using Python, Docker, Kubernetes, and OpenShift, supported by robust CI/CD pipelines for continuous delivery. Apply deep knowledge of financial services technology to ensure all AI models meet strict risk management, auditability, and data security standards aligned with regulatory requirements. Partner with senior technology leaders and cross-functional teams to translate complex business challenges into production-ready AI solutions, setting credible technical direction throughout delivery. Required Qualifications & Skills
10 or more years of experience in application development or engineering, with a significant focus on AI and machine learning solutions in production environments. Deep expertise in LLM architectures, embedding models, and AI orchestration frameworks such as Google ADK and LangChain, applied to real-world operational use cases. Hands-on experience deploying open-source LLMs (Llama, Mistral, Gemma) and working with enterprise AI platforms including Google Vertex AI or equivalent cloud AI suites. Expert-level Python skills, including proficiency with AI/ML libraries such as PyTorch, Hugging Face, Pandas, and NumPy, and API development frameworks including FastAPI and Flask. Demonstrated ability to implement deterministic controls, bias detection, and hallucination mitigation in production AI systems operating under strict compliance requirements. Strong experience with containerisation technologies (OpenShift, Docker, Kubernetes) and cloud-native application delivery, including CI/CD pipeline management. Background in financial services technology, with working knowledge of financial products, compliance requirements, and data security standards in a regulated environment. Beneficial Skills & Qualifications
Experience leading global technology teams or AI engineering programmes from concept through to production deployment. Familiarity with AI safety standards, emerging guardrail technologies, and the evolving regulatory landscape for AI in financial services. A Bachelor's degree/University degree or equivalent experience. Master's degree in Computer Science, Artificial Intelligence, or a related technical discipline, preferred. Exposure to managing cross-functional stakeholder relationships and communicating complex technical decisions to senior non-technical audiences. What We Offer
At Citi, you will work at the forefront of AI innovation within one of the world's leading financial institutions, contributing to technology programs that operate at genuine global scale. Our Consumer Operations Technology team offers a performance-driven environment where senior engineers have real ownership, the space to lead, and direct influence over how AI reshapes financial services operations. A hybrid working model with 3 days in the office and 2 days working remotely, supporting effective work-life balance. Strategic ownership and technical leadership on high-visibility AI programmes that directly impact Citi's global consumer operations. Access to continuous learning and development resources, including exposure to state-of-the-art AI platforms, tools, and methodologies. Collaboration with senior technology leaders across a global organisation, with the opportunity to shape technical standards and influence delivery at scale. Competitive compensation and a comprehensive financial wellbeing package commensurate with a senior-level engineering role. Wellbeing support and family-friendly benefits designed to help you perform at your best, both professionally and personally. Apply now to lead the next generation of AI-powered operations at Citi and bring production-grade generative AI solutions to one of the world's most influential financial institutions.
Citi is looking for a Principal Generative AI Engineer to lead the design, development, and deployment of intelligent operations and automation platforms within the AI Automation Forward Deployed Engineering (FDE) team, part of Consumer Operations Technology division. In this senior role, you will set the technical direction for generative AI solutions from LLM orchestration and RAG pipelines to AI governance frameworks, ensuring our AI capabilities meet the highest standards of security, compliance, and reliability in financial services. This is a high-impact opportunity to shape how Citi applies cutting-edge AI at scale, working alongside senior technology leaders across a global organization. Responsibilities
Architect and deliver end-to-end generative AI solutions for intelligent operations, including advanced chatbots, agentic workflow automation, and AI-assisted decision platforms that improve operational efficiency at scale. Lead the engineering of LLM pipelines by fine-tuning, prompt-engineering, and deploying open-source models such as Llama, Mistral, and Gemma alongside proprietary models via Google Vertex AI. Build and maintain Retrieval-Augmented Generation (RAG) pipelines using vector databases such as Pinecone, Milvus, and Chroma to enhance model accuracy and contextual relevance. Design and implement AI governance frameworks, including guardrails (NeMo Guardrails, Llama Guard), deterministic controls, semantic routing, and hallucination detection systems to ensure safe and compliant production AI. Deploy scalable, cloud-native AI infrastructure using Python, Docker, Kubernetes, and OpenShift, supported by robust CI/CD pipelines for continuous delivery. Apply deep knowledge of financial services technology to ensure all AI models meet strict risk management, auditability, and data security standards aligned with regulatory requirements. Partner with senior technology leaders and cross-functional teams to translate complex business challenges into production-ready AI solutions, setting credible technical direction throughout delivery. Required Qualifications & Skills
10 or more years of experience in application development or engineering, with a significant focus on AI and machine learning solutions in production environments. Deep expertise in LLM architectures, embedding models, and AI orchestration frameworks such as Google ADK and LangChain, applied to real-world operational use cases. Hands-on experience deploying open-source LLMs (Llama, Mistral, Gemma) and working with enterprise AI platforms including Google Vertex AI or equivalent cloud AI suites. Expert-level Python skills, including proficiency with AI/ML libraries such as PyTorch, Hugging Face, Pandas, and NumPy, and API development frameworks including FastAPI and Flask. Demonstrated ability to implement deterministic controls, bias detection, and hallucination mitigation in production AI systems operating under strict compliance requirements. Strong experience with containerisation technologies (OpenShift, Docker, Kubernetes) and cloud-native application delivery, including CI/CD pipeline management. Background in financial services technology, with working knowledge of financial products, compliance requirements, and data security standards in a regulated environment. Beneficial Skills & Qualifications
Experience leading global technology teams or AI engineering programmes from concept through to production deployment. Familiarity with AI safety standards, emerging guardrail technologies, and the evolving regulatory landscape for AI in financial services. A Bachelor's degree/University degree or equivalent experience. Master's degree in Computer Science, Artificial Intelligence, or a related technical discipline, preferred. Exposure to managing cross-functional stakeholder relationships and communicating complex technical decisions to senior non-technical audiences. What We Offer
At Citi, you will work at the forefront of AI innovation within one of the world's leading financial institutions, contributing to technology programs that operate at genuine global scale. Our Consumer Operations Technology team offers a performance-driven environment where senior engineers have real ownership, the space to lead, and direct influence over how AI reshapes financial services operations. A hybrid working model with 3 days in the office and 2 days working remotely, supporting effective work-life balance. Strategic ownership and technical leadership on high-visibility AI programmes that directly impact Citi's global consumer operations. Access to continuous learning and development resources, including exposure to state-of-the-art AI platforms, tools, and methodologies. Collaboration with senior technology leaders across a global organisation, with the opportunity to shape technical standards and influence delivery at scale. Competitive compensation and a comprehensive financial wellbeing package commensurate with a senior-level engineering role. Wellbeing support and family-friendly benefits designed to help you perform at your best, both professionally and personally. Apply now to lead the next generation of AI-powered operations at Citi and bring production-grade generative AI solutions to one of the world's most influential financial institutions.