Position OverviewCiti is looking for a Lead AI/GenAI Engineer to drive the design, development, and deployment of next-generation intelligent operations and automation platforms within the AI Automation Forward Deployed Engineering (FDE) team, part of Consumer Operations Technology. In this senior hands-on role, you will build and operationalize generative AI solutions using cutting-edge open-source models
and enterprise cloud platforms, while architecting the governance frameworks needed to ensure security, compliance, and reliability at scale. Your work will directly shape how Citi applies AI to transform its operations and deliver measurable impact across the business.
Key Responsibilities- AI Solution Delivery: Lead the hands-on development and delivery of intelligent operations solutions, including advanced chatbots, agentic workflow automation, and AI-assisted decision platforms.
- Model Engineering & Orchestration: Fine-tune, prompt-engineer, and deploy open-source LLMs (Llama, Mistral, Gemma, etc) and proprietary models via Google Vertex AI. Implement RAG (Retrieval-Augmented Generation) pipelines.
- AI Governance & Guardrails: Architect and implement robust AI safety frameworks, guardrails (e.g., NeMo Guardrails, Llama Guard), and deterministic controls to prevent hallucinations, ensure data privacy, and maintain regulatory compliance.
- Cloud-Native Architecture: Design and deploy scalable AI pipelines using Python, containerization (Docker, Kubernetes), and cloud-native architectures.
- Financial Services Compliance: Apply deep knowledge of financial services technology to ensure AI models adhere to strict risk management, auditability, and financial data security standards.
Required Skills & Qualifications- AI & LLM Expertise: Deep understanding of LLM architectures, vector databases (e.g., Pinecone, Milvus, Chroma), embedding models and AI orchestration frameworks (Google ADK, LangChain etc).
- Cloud & Tools: Hands-on experience with Google Vertex AI (or equivalent cloud AI suites) and deploying open-source models (Llama, Mistral, Gemma).
- AI Governance & Safety: Proven experience implementing deterministic controls, semantic routing, guardrails, and bias/hallucination detection in production AI systems.
- Programming: Expert-level Python skills, including AI/ML libraries (PyTorch, Hugging Face, Pandas, NumPy) and API development (FastAPI, Flask).
- Infrastructure: Strong experience with containerization (Openshift,Docker, Kubernetes), CI/CD pipelines, and cloud-native application delivery.
- Domain Knowledge: Experience in financial services technology, with an understanding of financial products, compliance requirements, and the competitive AI landscape in fintech.
- Leadership: Demonstrated ability to lead AI and automation programs from concept to production, setting credible technical direction at a senior level.
Beneficial Skills & Qualifications- Experience deploying and tuning models on Google Vertex AI or equivalent enterprise-grade cloud AI platforms.
- Familiarity with additional AI orchestration tools and emerging open-source LLM frameworks beyond core requirements.
- A Bachelor's degree/University degree or equivalent experience. Master's degree in Computer Science, Artificial Intelligence, or a related technical discipline, preferred.
What We OfferAt Citi, you will work at the intersection of AI innovation and financial services, contributing to programs that operate at global scale and shape how intelligent technology is applied across one of the world's most complex organizations. This is an opportunity to take genuine ownership of high-impact AI delivery while continuing to grow your technical expertise in a performance-driven, collaborative environment.
- Hybrid working model with 3 days in the office and 2 days working remotely, giving you flexibility while keeping you connected to the team.
- Direct influence over technical strategy, with the autonomy to architect AI governance frameworks and set engineering standards across a senior-level program.
- Access to enterprise AI platforms, open-source tooling, and cloud infrastructure at a scale few organizations can offer, enabling you to solve genuinely complex technical challenges.
- Continuous learning and development opportunities, including exposure to cutting-edge generative AI and machine learning advancements within a global technology organization.
- A collaborative team environment where technical excellence, peer mentorship, and delivery ownership are valued and recognized.
- Competitive financial wellbeing and benefits package, designed to reflect the seniority and impact of this role.
Apply now to bring your AI engineering expertise to a role where your work will directly shape the future of intelligent operations within global financial services.
Job Family Group: Technology
Job Family:Applications Development
Time Type:Full time
Primary Location:Irving Texas United States
Primary Location Full Time Salary Range:$125,760.00 - $188,640.00
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.
Most Relevant Skills Please see the requirements listed above.
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:Aug 15, 2026
