GenAI Full-Stack Engineer Lead

Citigroup; Irving (TX); On-site; USD 156,000 - 234,000; Full time

Benefits offered by this job

Medical, dental & vision coverage

401(k) retirement plan

Life, accident & disability insurance

Wellness programs

Paid time off packages

Job summary

Citigroup in Irving, TX seeks a senior GenAI practitioner to translate AI strategy into production capabilities across the Controls Technology platform. You will lead delivery, mentor engineers, and ensure robust, secure, scalable GenAI and agentic solutions.

Role emphasizes architecting solutions on pre-trained models, collaboration with cross-functional teams, and governance of responsible AI practices. Time type: Full time, on-site at Irving, TX.

Qualifications

• 10+ years of overall experience.
• 8+ years in AI/ML with at least 3 years in Generative AI.
• 5+ years of leadership experience managing technical teams.
• Extensive hands-on experience with AWS services for AI/GenAI.

Responsibilities

• GenAI Delivery Leadership: manage delivery roadmap from ideation to deployment.
• Team Leadership & Mentorship: build and mentor AI engineers and specialists.
• End-to-End Solution Delivery: design, develop, and deploy production-grade GenAI applications.
• Agentic Solution Delivery: drive agentic workflows and multi-agent systems across the platform.
• Stakeholder & Program Management: primary contact for GenAI delivery and risk management.
• Cross-Functional Partnership: collaborate with Data Mesh, Cloud Architecture, MLOps/LLMOps, and business units.
• Technical Excellence & Best Practices: promote CI/CD, LLMOps, agent observability, and Agile practices.
• Governance & Ethical Deployment: enforce governance, guardrails, and privacy compliance.

Skills

GenAI delivery

Leadership

Python programming

Agile/Scrum

Education

Bachelor's or Master's in CS/DS/AI

Tools

Transformers

LangChain

LlamaIndex

TensorFlow

PyTorch

Pandas

NumPy

Scikit-learn

Flask/Django

Job description

We are seeking a results-driven Generative AI practitioner with end-to-end experience for the execution and deployment of cutting-edge Generative AI and agentic AI solutions across our enterprise-wide Controls Technology platform. In this role, you will be responsible for translating AI strategy into tangible, production-ready capabilities that enhance operational efficiencies and drive business value. We're looking for someone who combines deep technical expertise in generative AI - including context engineering, retrieval systems, knowledge graphs, and multi-agent orchestration - with a proven track record of successfully delivering complex technology projects. This role centers on architecting and delivering solutions built on pre-trained and hosted foundation models, not on training or fine-tuning models.

Key Responsibilities

• GenAI Delivery Leadership: Execute the delivery roadmap for generative and agentic AI projects, ensuring alignment with business objectives and timelines. Manage the project lifecycle from ideation and scoping to deployment and post-launch support.
• Team Leadership & Mentorship: Build, mentor, and manage a high-performing team of AI engineers and specialists. Foster a culture of execution, collaboration, and continuous improvement to successfully deliver on the AI roadmap.
• End-to-End Solution Delivery: Oversee the design, development, and deployment of robust, scalable, and production-ready GenAI and agentic applications. Ensure all solutions meet rigorous performance, security, and quality standards before and after deployment.
• Agentic Solution Delivery: Drive the design and delivery of agentic workflows and multi-agent systems , establishing standards for agent harnesses , orchestration patterns, and reliable long-running agent execution across the platform.
• Stakeholder & Program Management: Serve as the primary point of contact for GenAI delivery. Manage stakeholder expectations, communicate project progress, identify and mitigate risks, and ensure on-time and on-budget delivery.
• Cross-Functional Partnership: Collaborate closely with Data Mesh, Cloud Architecture, MLOps/LLMOps, and business unit teams to ensure the seamless integration and operationalization of GenAI and agentic solutions into our existing technology ecosystem.
• Technical Excellence & Best Practices: Drive the adoption of best practices in software development (CI/CD), LLMOps, agent observability, and project management (Agile/Scrum) within the AI team to ensure efficient and repeatable delivery.
• Governance & Ethical Deployment: Implement and enforce robust governance and ethical AI frameworks throughout the delivery process - including guardrails, agent isolation/sandboxing, and responsible AI practices - ensuring compliance with data privacy standards and corporate policies.

Technical Skills

• Programming Languages: Python (expert proficiency required)
• Python Packages: Transformers, LangChain, LlamaIndex, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, and other relevant data science, machine learning, and web development libraries.
• Deep Learning Frameworks: TensorFlow, PyTorch
• LLMs: Llama, Gemini, GPT, and other advanced LLMs.
• Vector Databases: Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions (pgvector).
• Cloud Platforms: AWS, Azure, GCP
• MLOps Tools: MLflow, Kubeflow, or similar.
• Containerization: Docker, Kubernetes
• CI/CD Tools: GitHub Actions, Jenkins, or similar.
• Version Control: Git
• Data Visualization & Reporting: Tableau, Power BI, matplotlib, seaborn.
• Databases: SQL and NoSQL databases

Qualifications

• 10+ years of overall experience.
• 8+ years of experience in AI/ML, with at least 3 years in Generative AI (including agentic AI).
• 5+ years of leadership experience managing technical teams and delivering complex software or AI solutions.
• Extensive hands-on experience with AWS services and infrastructure related to AI/GenAI.
• A strong portfolio of projects showcasing the successful delivery of AI solutions into a production business environment.

Education:

Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field (PhD preferred).

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Primary Location:

Irving Texas United States

Primary Location Full Time Salary Range:

$156,160.00 - $234,240.00

Benefits and Salary:

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 p