GenAI Full-Stack Engineer Lead

Job d:

Location:

Irving, Texas, United States Salary: $ - $Category:
Technology, Applications Development, Professional Company:
Citi 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, Lang Chain, Llama Index, Tensor Flow, PyTorch, Pandas, Num Py, Scikit-learn, Flask/Django, and other relevant data science, machine learning, and web development libraries. Deep Learning Frameworks:
Tensor Flow, PyTorchLLMs:
Llama, Gemini, GPT, and other advanced LLMs.Vector Databases:
Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions (pgvector).Cloud Platforms: AWS, Azure, GCPMLOps Tools: MLflow, Kubeflow, or similar.

Containerization:
Docker, KubernetesCI/CD Tools:
Git Hub Actions, Jenkins, or similar.

Version Control:
Git Data Visualization & Reporting:
Tableau, Power BI, matplotlib, seaborn. Databases: SQL and No

SQL databasesQualifications
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).

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