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Job Overview

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.

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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

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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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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.

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