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:
The ideal candidate will have hands-on experience or deep familiarity with the following technologies:
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
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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 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 planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
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Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Anticipated Posting Close Date:Sep 11, 2026------------------------------------------------------
Automated Processing and AIWe use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents – AI Notice and Right
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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Skills Required
- At least 6 years of relevant experience
- Bachelor's degree in Engineering or equivalent work experience
- Strong Python programming skills, including familiarity with NumPy, Pandas, and Scikit-learn
- Practical experience with machine learning algorithms and deep learning architectures, including Transformers, CNNs, or RNNs
- Hands-on experience with Generative AI, large language models, and Agentic AI frameworks
- Experience handling and preprocessing large, complex datasets, including data cleaning, feature engineering, and validation
- Working experience or strong familiarity with MLOps principles, Docker, OpenShift, or Kubernetes
- Strong analytical and problem-solving skills
- Experience with production-ready Python services, FastAPI, and asynchronous programming
- Experience with LangChain, LlamaIndex, Hugging Face, LangGraph, vector databases, PostgreSQL, PyTorch, or TensorFlow
- Experience deploying and monitoring production APIs with robust logging and monitoring
- Advanced prompt engineering, AI workflow design, and generative AI application optimization
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
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