Posted Date
5/23/2026
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 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. We are seeking a hands-on individual with a passion for rapid prototyping, a deep curiosity for emerging technologies, and the drive to turn ambitious ideas into reality. If you are eager to build, learn, and grow in the fast-paced world of Generative and Agentic AI, this role is for you.
Key Responsibilities
- 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
- 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.
The Ideal Candidate
- You are a builder at heart, driven by a desire to create and experiment.
- You thrive in a fast-paced environment and excel at turning ideas into functional prototypes quickly.
- You are a voracious learner, constantly keeping up-to-date with the latest research papers, open-source projects, and technology trends in AI.
- You are a proactive and collaborative team player with excellent communication skills.
- You are passionate about solving real-world problems and delivering tangible impact through technology.
Education:
- Bachelor’s degree/University degree or equivalent experience
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Job Family Group:
Technology
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Job Family:
Applications Development
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Time Type:
Full time
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Primary Location:
Irving Texas United States
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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.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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Anticipated Posting Close Date:
May 29, 2026
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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.
Salary
125,760.00 - 188,640.00 Annual
Type
Full-time