Senior AI Data Engineer- Vice President at Citi

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Mar, 26

Salary

0.0

Posted On

24 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Machine Learning, AI Concepts, API Design, Cloud Platforms, Problem Solving, Communication, Software Development, Agent Frameworks, Data Engineering, Automation, Documentation, Collaboration, Evaluation, Optimization

Industry

Financial Services

Description

Agent Design and Development: Design and implement intelligent agents, including their perception, reasoning, planning, and action execution modules. System Architecture: Develop scalable and robust architectures for agentic systems, ensuring high performance, reliability, and security. Machine Learning Integration: Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models) to enhance agent capabilities and decision-making. Task Automation: Develop agents that can automate complex tasks, optimize workflows, and solve real-world problems across various domains. Framework and Tooling: Utilize and contribute to agentic AI frameworks and development tools. Evaluation and Optimization: Design and implement metrics and evaluation strategies for agent performance, continuously optimizing and improving agent behavior. Research and Innovation: Stay abreast of the latest advancements in AI, particularly in agent-based systems, autonomous AI, and related fields, and propose innovative solutions. Collaboration: Work closely with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate agentic solutions into broader products and services. Documentation: Create comprehensive technical documentation for agent designs, implementations, and operational procedures. 6+ years of professional experience in software development with a focus on AI, machine learning, or agent-based systems. Experience in finance industry a plus. Programming: Strong proficiency in Python, SQL; Java is a plus. Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas). Familiarity with large language models (LLMs) and their application in agentic systems. Familiarity with specific agent frameworks (e.g., LangChain, AutoGen, CrewAI, RAG) or research in multi-agent reinforcement learning. Experience in designing and implementing APIs for AI services. Software Engineering: Experience with software development best practices, including version control (Git), CI/CD pipelines, testing, and code reviews. Problem-Solving: Excellent analytical and problem-solving skills with a creative approach to complex challenges. Communication: Strong written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences. Platforms: Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Bachelor's degree in computer science, artificial intelligence, robotics, or a related quantitative field, or equivalent experience Master's degree preferred ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Anticipated Posting Close Date: dic 30, 2025 ------------------------------------------------------

Responsibilities

Design and implement intelligent agents and develop scalable architectures for agentic systems. Collaborate with cross-functional teams to integrate agentic solutions into broader products and services.