The AI Engineer Intermediate Analyst is an intermediate-level professional responsible for designing and implementing complex, scalable AI solutions in coordination with the AI Innovation team. The overall objective is to apply a strong understanding of AI, software architecture, and business processes to build and optimize high-performance AI systems. **Responsibilities:** + Design and develop production-ready Generative AI and Agentic solutions, with a strong focus on Agent Architecture selection, memory management, hallucination control, and performance measurement. + Analyze complex business processes and problems to design and implement technology and analytic solutions at scale, with a focus on performance optimization. + Develop and maintain robust data and technology pipelines, ensuring they are scalable, efficient, and reliable. + Implement feedback loops for AI agents using reinforcement learning techniques to continuously improve solution effectiveness. + Take ownership of the technical design and implementation of AI features and services. + Adhere to and promote best practices in software development, MLOps, and Model Governance. + Mentor junior engineers and provide technical guidance on projects. **Qualifications:** + 4-7 years of overall experience with a minimum of 2 years of experience in developing production-ready Gen AI based RAG or Agent-based solutions. + Strong experience in designing Agentic solutions, including Agent Architecture selection, memory management, hallucination control, and measuring solution effectiveness. + Proven ability to analyze business problems and design scalable technology/analytic solutions. + Hands-on experience with performance optimization of highly scalable systems. + Strong proficiency in Python and deep experience with AI/ML frameworks (PyTorch, TensorFlow, LangChain). + Extensive experience with cloud platforms (AWS, Azure, GCP), containerization (Kubernetes), and MLOps tools. + Experience with data pipeline and technology pipeline development. + Excellent analytical skills and a deep understanding of software architecture principles. **Education:** + Bachelor's/University degree or equivalent experience in Computer Science, Engineering, or a related quantitative field. ------------------------------------------------------ **Job Family Group:** Decision Management ------------------------------------------------------ **Job Family:** Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------ **Time Type:** ------------------------------------------------------ **Most Relevant Skills** Please see the requirements listed above. ------------------------------------------------------ **Other Relevant Skills** For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ _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 (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)_ _._ _View Citi’s_ _EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy)_ _and the_ _Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf)_ _poster._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.