Lead Generative AI Engineer, VP

Citi

. Lead hands-on development and delivery of intelligent operations solutions, including advanced chatbots, agentic workflow automation, and AI-assisted decision platforms .

Posted 9/21/2026full-timeUnited StatesSenior💰 $125,760 - $188,640 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and implementing AI solutions, including large language models and AI safety frameworks, while ensuring compliance with financial services technology standards. Proven ability to lead AI programs from concept to production using advanced tools and methodologies.

Highest-signal resume keywords

Large Language Model ArchitecturesGoogle Vertex AIPython ProgrammingAI Safety FrameworksFinancial Services Technology

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonPyTorchHugging FacePandasNumPyFastAPIFlaskOpenShiftDockerKubernetes

Soft Skills

LeadershipCollaborationProblem-Solving

Tools & Technologies

Google Vertex AICI/CD PipelinesCloud-Native ArchitecturesRetrieval-Augmented GenerationAgentic Workflow Automation

Certifications & Qualifications

Bachelor’s DegreeMaster’s Degree in Computer Science

Industry Keywords

Financial Data SecurityRisk ManagementAuditabilityFintech AICompliance Requirements

Tech Stack

Tools & technologies

CloudDockerFlaskKubernetesNumpyOpenShiftPandasPythonPyTorch

About the role

Key responsibilities & impact

Lead hands-on development and delivery of intelligent operations solutions, including advanced chatbots, agentic workflow automation, and AI-assisted decision platforms
Fine-tune, prompt-engineer, and deploy open-source and proprietary large language models via Google Vertex AI
Implement Retrieval-Augmented Generation pipelines
Architect and implement AI safety frameworks, guardrails, and deterministic controls
Design and deploy scalable AI pipelines using Python, Docker, Kubernetes, and cloud-native architectures
Apply financial services technology expertise to ensure AI models meet risk management, auditability, and financial data security standards
Set technical direction and architect governance frameworks for senior-level AI programs

Requirements

What you’ll need

Deep understanding of LLM architectures, vector databases, embedding models, and AI orchestration frameworks
Hands-on experience with Google Vertex AI or equivalent cloud AI suites
Experience deploying open-source models such as Llama, Mistral, and Gemma
Proven experience implementing deterministic controls, semantic routing, guardrails, and bias/hallucination detection in production AI systems
Expert-level Python skills, including PyTorch, Hugging Face, Pandas, NumPy, FastAPI, and Flask
Strong experience with OpenShift, Docker, Kubernetes, CI/CD pipelines, and cloud-native application delivery
Experience in financial services technology and understanding of financial products, compliance requirements, and fintech AI
Demonstrated ability to lead AI and automation programs from concept to production
Bachelor’s degree/University degree or equivalent experience
Master’s degree in Computer Science, Artificial Intelligence, or a related technical discipline preferred

Benefits

Comp & perks

Discretionary and formulaic incentive and retention awards may be available for eligible employees
Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid vacation, sick leave, and holidays
Hybrid working model with 3 days in the office and 2 days working remotely
Continuous learning and development opportunities
Access to enterprise AI platforms, open-source tooling, and cloud infrastructure
Collaborative team environment with peer mentorship
Competitive financial wellbeing and benefits package