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Citi

Lead GenAI Full-Stack Engineer

Citi

. Execute the delivery roadmap for generative and agentic AI projects, aligning projects with business objectives and timelines .

Posted 10/6/2026full-timeUnited StatesSenior💰 $156,160 - $234,240 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in managing the delivery of Generative AI and agentic AI projects, with a strong focus on team leadership, project lifecycle management, and adherence to ethical AI frameworks. Proficient in leveraging advanced AI technologies and tools to deliver scalable, production-ready solutions aligned with business objectives.

Highest-signal resume keywords
Generative AI ExpertisePython ProficiencyLeadership in AI/ML TeamsExperience with MLOps ToolsCI/CD Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Generative AIAgentic AIPythonTransformersTensorFlowPyTorchSQLNoSQLDockerKubernetes
Soft Skills
Team ManagementStakeholder CommunicationRisk MitigationProject Management
Tools & Technologies
AWSAzureGCPMLflowKubeflowGitHub ActionsJenkinsTableauPower BIPinecone
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Data Science
Industry Keywords
AI SolutionsData Privacy ComplianceAgile/ScrumEthical AIAgent Orchestration

Tech Stack

Tools & technologies
AWSAzureCloudDjangoDockerFlaskGoogle Cloud PlatformJenkinsKubernetesNoSQLNumpyPandasPostgresPythonPyTorchScikit-LearnSQLTableauTensorflow

About the role

Key responsibilities & impact
  • Execute the delivery roadmap for generative and agentic AI projects, aligning projects with business objectives and timelines
  • Manage project lifecycles from ideation and scoping through deployment and post-launch support
  • Build, mentor, and manage a high-performing team of AI engineers and specialists
  • Oversee design, development, and deployment of robust, scalable, production-ready GenAI and agentic applications
  • Drive design and delivery of agentic workflows and multi-agent systems
  • Establish standards for agent harnesses, orchestration patterns, and reliable long-running agent execution
  • Manage stakeholder expectations, communicate project progress, identify and mitigate risks, and ensure on-time and on-budget delivery
  • Collaborate with Data Mesh, Cloud Architecture, MLOps/LLMOps, and business unit teams
  • Drive adoption of CI/CD, LLMOps, agent observability, and Agile/Scrum best practices
  • Implement governance and ethical AI frameworks, including guardrails, agent isolation/sandboxing, data privacy compliance, and responsible AI practices

Requirements

What you’ll need
  • 10+ years of overall experience
  • 8+ years of experience in AI/ML, including at least 3 years in Generative AI and agentic AI
  • 5+ years of leadership experience managing technical teams and delivering complex software or AI solutions
  • Expert proficiency in Python
  • Hands-on experience with Transformers, LangChain, LlamaIndex, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, and related libraries
  • Experience with Llama, Gemini, GPT, and other advanced LLMs
  • Experience with vector databases including Pinecone, Weaviate, Chroma, Faiss, and PostgreSQL with pgvector
  • Experience with AWS, Azure, and GCP
  • Experience with MLflow, Kubeflow, or similar MLOps tools
  • Experience with Docker and Kubernetes
  • Experience with GitHub Actions, Jenkins, or similar CI/CD tools
  • Experience with Git
  • Experience with Tableau, Power BI, matplotlib, and seaborn
  • Experience with SQL and NoSQL databases
  • Extensive hands-on experience with AWS services and AI/GenAI infrastructure
  • Strong portfolio demonstrating successful delivery of AI solutions into a production business environment
  • Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field
  • Ability to deliver production-ready Generative AI and agentic AI solutions using pre-trained and hosted foundation models

Benefits

Comp & perks
  • Medical, dental & vision coverage
  • 401(k)
  • Life, accident, and disability insurance
  • Wellness programs
  • Paid vacation/planned time off
  • Paid sick leave/unplanned time off
  • Paid holidays
  • Discretionary and formulaic incentive and retention awards for eligible employees