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Senior AI Engineer - Vice President
Citigroup Inc
4 hours ago
Full-time
On-site
Jersey City, New Jersey, United States
Senior AI Engineer - Vice President
Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview
The Senior AI Engineer is a senior level hands-on position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead AI application development. Responsibilities: Lead AI agent development, architecture, and deployment using GenAI platforms, microservices, and intelligent bot interactions, leveraging script tools, adhering to data governance policies Architect and build autonomous AI systems for problem-solving and decision-making, ensuring seamless and secure integration with enterprise systems via robust APIs. Develop highly resilient systems with advanced error handling, fault tolerance, and intelligent routing. Drive GenAI thought leadership, integrating emerging platforms (Gemini, Claude, GPT) and research, while staying current with the latest technologies and trends. Deliver end-to-end Agentic AI solutions, focusing on Python backend services (FastAPI, asyncio), secure REST APIs, and robust data pipelines, applying fundamental programming principles. Optimize AI agent performance, latency, and cost through profiling, caching strategies, knowledge graphs and distributed system optimization. Establish CI/CD practices for automated testing, agent evaluation, cloud-native deployment, and ensure code quality through reviews and peer programming. Collaborate extensively with cross-functional teams and stakeholders to gather requirements, brainstorm solutions, deliver high-quality software, and consult on technical issues. Analyze applications for vulnerabilities, conduct thorough testing, debugging, and effectively troubleshoot software issues. Mentor and coach engineering teams, act as a Subject Matter Expert (SME), and contribute to continuous learning initiatives. Assess and manage risks in business decisions, safeguarding the firm's reputation, ensuring compliance with regulations, and transparently escalating control issues. Recommended Qualifications: Extensive hands-on experience with GenAI concepts, Large Language Models (LLMs), transformer architecture, RAG, and agentic frameworks such as Google ADK, LangChain, LangGraph. Expert Python proficiency for AI/ML development, data engineering, and backend services; deep understanding of software design patterns, data structures, and algorithms. Hands-on experience with AI Development Tools such as Claude Code, Devin AI, Cursor, Copilot etc. Proficient with containers and orchestration technologies on Kubernetes or equivalent cloud, and ability to architect and deploy high-performance, large-scale AI/ML systems to production. Experience in architecting and developing virtual assistants, chatbots, and conversational AI platforms. Experience with technologies like Java, Spring Boot, SQL Queries, front end like React/Angular is a plus. Experience : 6+ years of software development experience, with strong experience delivering Python. Proven expertise in LLMs, fine-tuning methods, building RAG systems (hybrid search, multivector retrieval) Experience with containerization ( Docker ), orchestration ( Kubernetes ), CI/CD pipelines for APIs and ML models, and practices in agile development environments. Experience with distributed systems, event-driven architectures, container-based microservices, distributed logs. Expert understanding of Machine Learning, and Generative AI techniques, coupled with demonstrated experience in complex API integrations and enterprise system connectivity. Exceptional problem-solving, analytical, and communication skills, with the ability to lead, mentor cross-functional teams. Education: Bachelor's degree/University degree or equivalent experience Master's degree preferred.
Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview
The Senior AI Engineer is a senior level hands-on position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead AI application development. Responsibilities: Lead AI agent development, architecture, and deployment using GenAI platforms, microservices, and intelligent bot interactions, leveraging script tools, adhering to data governance policies Architect and build autonomous AI systems for problem-solving and decision-making, ensuring seamless and secure integration with enterprise systems via robust APIs. Develop highly resilient systems with advanced error handling, fault tolerance, and intelligent routing. Drive GenAI thought leadership, integrating emerging platforms (Gemini, Claude, GPT) and research, while staying current with the latest technologies and trends. Deliver end-to-end Agentic AI solutions, focusing on Python backend services (FastAPI, asyncio), secure REST APIs, and robust data pipelines, applying fundamental programming principles. Optimize AI agent performance, latency, and cost through profiling, caching strategies, knowledge graphs and distributed system optimization. Establish CI/CD practices for automated testing, agent evaluation, cloud-native deployment, and ensure code quality through reviews and peer programming. Collaborate extensively with cross-functional teams and stakeholders to gather requirements, brainstorm solutions, deliver high-quality software, and consult on technical issues. Analyze applications for vulnerabilities, conduct thorough testing, debugging, and effectively troubleshoot software issues. Mentor and coach engineering teams, act as a Subject Matter Expert (SME), and contribute to continuous learning initiatives. Assess and manage risks in business decisions, safeguarding the firm's reputation, ensuring compliance with regulations, and transparently escalating control issues. Recommended Qualifications: Extensive hands-on experience with GenAI concepts, Large Language Models (LLMs), transformer architecture, RAG, and agentic frameworks such as Google ADK, LangChain, LangGraph. Expert Python proficiency for AI/ML development, data engineering, and backend services; deep understanding of software design patterns, data structures, and algorithms. Hands-on experience with AI Development Tools such as Claude Code, Devin AI, Cursor, Copilot etc. Proficient with containers and orchestration technologies on Kubernetes or equivalent cloud, and ability to architect and deploy high-performance, large-scale AI/ML systems to production. Experience in architecting and developing virtual assistants, chatbots, and conversational AI platforms. Experience with technologies like Java, Spring Boot, SQL Queries, front end like React/Angular is a plus. Experience : 6+ years of software development experience, with strong experience delivering Python. Proven expertise in LLMs, fine-tuning methods, building RAG systems (hybrid search, multivector retrieval) Experience with containerization ( Docker ), orchestration ( Kubernetes ), CI/CD pipelines for APIs and ML models, and practices in agile development environments. Experience with distributed systems, event-driven architectures, container-based microservices, distributed logs. Expert understanding of Machine Learning, and Generative AI techniques, coupled with demonstrated experience in complex API integrations and enterprise system connectivity. Exceptional problem-solving, analytical, and communication skills, with the ability to lead, mentor cross-functional teams. Education: Bachelor's degree/University degree or equivalent experience Master's degree preferred.