Senior Generative AI Engineer - Vice President

Citigroup

Irving (TX)

On-site

USD 126,000 - 189,000

Full time

4 days ago
Be an early applicant
Application generator

Stand out for this role — generate a tailored resume and cover letter in about a minute.

Get past ATS filters

Job summary

Citigroup in Irving, TX seeks a Senior Generative AI/AI Engineer to drive AI strategy from concept to production. The role focuses on designing scalable AI solutions, prototyping Generative and Agentic AI, and leading cross-functional efforts with strong Python and ML/DL expertise.

Responsibilities include building production-ready AI systems, managing data pipelines, and applying MLOps best practices in containerized environments such as OpenShift or Kubernetes.

Qualifications

  • 6+ years of relevant experience.
  • Proficient in Python and AI libraries (NumPy, pandas, scikit-learn).
  • Hands-on experience with Generative AI, LLMs, and agentic AI frameworks.
  • Skilled in handling large datasets, feature engineering, and data validation.
  • Familiar with MLOps concepts, Docker, and containerized deployments on OpenShift or Kubernetes.

Responsibilities

  • Accountability: drive results on large-scale AI efforts and lead projects.
  • Develop & Prototype: design and iterate on Generative and Agentic AI applications.
  • Implement AI Models: train and fine-tune ML/DL models for business needs.
  • Build Robust Systems: produce production-ready AI/ML code with quality checks.
  • Manage Data Pipelines: build robust data preprocessing pipelines.

Skills

Python Proficiency
ML/DL Fundamentals
Generative AI Experience
Data Handling
MLOps Practices
Problem-Solving

Education

Bachelor's in Engineering

Tools

Docker
OpenShift
Kubernetes
LangChain
Hugging Face

Job description

The USCC Architecture and AI Engineering group is at the forefront of technological innovation, and we are looking for a highly motivated and talented Senior Generative AI/AI Engineer to join our dynamic team. This is an exciting opportunity to work on cutting-edge AI solutions that will shape the future of our industry. This is a pivotal role in driving our AI strategy, from conceptualization through to production. We are looking for an expert with a proven track record in designing and delivering robust, scalable, and well-governed AI solutions. The ideal candidate will be a technical expert collaborate effectively with business stakeholders, and steer our technical direction in the rapidly evolving landscape of Generative and Agentic AI.

Responsibilities:
  • Accountability : Executing and driving results on large-scale AI efforts or multiple smaller AI efforts and serving as a development lead for most medium and large AI projects. This includes expertise with application development methodologies, generative AI & AI and standards for program analysis, design, coding, testing, debugging and implementation.
  • Develop & Prototype: Design, build, and iterate on prototypes for Generative and Agentic AI applications with speed and agility, demonstrating the art of the possible.
  • Implement AI Models: Implement, train, and fine-tune a variety of machine learning and deep learning models to solve complex business problems.
  • Build Robust Systems: Develop and maintain clean, efficient, and scalable code for AI/ML systems, with a focus on production-level quality.
  • Manage Data Pipelines: Engineer and manage sophisticated data handling and preprocessing pipelines to ensure high-quality data for training and inference.
  • Deploy & Operate: Utilize MLOps best practices to deploy AI applications in containerized environments like OpenShift, ensuring robust monitoring, scalability, and reliability.
  • Innovate & Research: Actively monitor and research the latest trends, breakthroughs, and tools in AI/ML. Present findings and lead proof-of-concept projects to integrate new technologies into our stack.
  • Collaborate: Work closely with senior engineers, architects, and product managers in a highly collaborative environment to translate business requirements into technical solutions.
Required Skills and Qualifications :
  • Atleast 6+ years of relevant experience
  • Python Proficiency: Strong and efficient programming skills in Python, including deep familiarity with AI-centric libraries (e.g., NumPy, Pandas, Scikit-learn).
  • ML/DL Foundation: Solid understanding and practical implementation experience with machine learning algorithms and deep learning architectures (e.g., Transformers, CNNs, RNNs).
  • Generative AI Experience: Demonstrable understanding of and hands-on experience with Generative AI, Large Language Models (LLMs), and Agentic AI frameworks.
  • Data Expertise: Proven ability in handling and preprocessing large and complex datasets, including data cleaning, feature engineering, and validation.
  • MLOps Awareness: Working experience or strong familiarity with MLOps principles, including containerizing applications using Docker and deploying on platforms like OpenShift or Kubernetes.
  • Problem-Solving: Strong analytical and problem-solving skills with the ability to tackle complex challenges independently.
Core Technical Stack & Expertise:
  • LLMs: Gemini, OpenAI models (GPT series), Copilot, Claude, Llama, and experience with Local Models.
  • Frameworks: LangChain, LlamaIndex, and the Hugging Face ecosystem (Transformers, Datasets, Tokenizers).
  • Orchestration: LangGraph and conceptual understanding of building Multi-Agent Systems.
  • Development: Building production-ready services using Python, FastAPI, and asynchronous programming patterns.
  • RAG (Retrieval-Augmented Generation): Advanced retrieval techniques using Vector DBs (e.g., Pinecone, Chroma) and PostgreSQL (with pgvector).
  • ML/DL Platforms: PyTorch and/or TensorFlow for building and fine-tuning models.
  • Deployment & Monitoring: Containerization with Docker, deploying production APIs, and implementing robust monitoring and logging.
  • Applied AI Skills: Advanced Prompt Engineering, AI Workflow Design, and GenAI application optimization for cost, latency, and performance.
Education:

Bachelor's in Engineering degree, or equivalent work experience

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 eligibl

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Senior Generative AI Engineer - Vice President
Senior Generative AI Engineer - Vice President

Citigroup Inc. • Irving (TX)

On-site
USD 126,000 - 189,000
Lead Gen AI Engineer - Vice President
Lead Gen AI Engineer - Vice President

Citi • New York (NY)

Hybrid
USD 37,000 - 74,000
Senior Generative AI Engineer
Senior Generative AI Engineer

Citi • New York (NY)

On-site
USD 142,000 - 213,000
Health benefits
401(k)
Lead Software Engineer - Generative AI
Lead Software Engineer - Generative AI

C3.ai, Inc. • Redwood City (CA)

On-site
USD 175,000 - 219,000
Excellent benefits
Competitive compensation
Generous equity
Lead Agentic AI Engineer
Lead Agentic AI Engineer

Citi • Irving (TX)

On-site
USD 126,000 - 189,000
Medical coverage
Dental and vision coverage
401(k) plan
+4
Sr. AI Architect
Sr. AI Architect

Ampcus, Inc • Chantilly (VA)

On-site
USD 180,000 - 260,000
Senior Software Engineer - Generative AI
Senior Software Engineer - Generative AI

C3.ai, Inc. • Redwood City (CA)

On-site
USD 150,000 - 198,000
Equity plan
Excellent benefits
Competitive compensation
Senior Manager GenAI Engineer
Senior Manager GenAI Engineer

New York Technology Partners • Boston (MA)

On-site
USD 130,000 - 180,000
Senior Fullstack AI Engineer (Generative AI / Agentic Systems)
Senior Fullstack AI Engineer (Generative AI / Agentic Systems)

Josh Pros LLC • Richardson (TX)

Hybrid
USD 180,000 - 240,000
Senior AI Engineer (Generative AI & Agentic Systems)
Senior AI Engineer (Generative AI & Agentic Systems)

WonderBotz • United States

Remote
USD 150,000 - 210,000