Senior AI/ML Engineer - Engineering Excellence (Full Stack Developer) Vice President

Citi • Irving, TX

5d • $125,600 - $188,400 • Onsite

About The Position

Citi, a leading global bank with a vast customer base and operations in over 160 countries, is seeking a highly skilled and experienced Senior AI/ML & Agentic AI Engineer. This role is within the Engineering Excellence and Transformation organization, focusing on designing, developing, and integrating cutting-edge AI/ML and Agentic AI solutions, including advanced AI assistant tools, to revolutionize engineering processes and drive operational improvements. The engineer will leverage comprehensive technical expertise to build scalable, resilient, and high-performance AI systems from conception to deployment, fostering a culture of innovation and continuous delivery. Citi is committed to diversity and fostering an environment where the best people want to work, valuing respect, merit-based promotion, and opportunities for personal development.

Requirements

• Expert proficiency in Python for AI/ML development, including data manipulation (Pandas), scientific computing (NumPy), and machine learning frameworks.
• Strong proficiency in Java (e.g., Spring Boot, Microservices, Enterprise Integration Patterns, RESTful APIs) for building scalable, high-performance, and resilient enterprise applications.
• Extensive experience with Generative AI, Agentic AI principles, and the development of AI assistant tools.
• Hands-on experience with LLMs and fine-tuning methods (e.g., LoRA, QLoRA, Adapter/Prefix Tuning, instruction tuning).
• Practical knowledge of model optimization techniques (e.g., compression, quantization) and familiarity with tools such as DeepSpeed, vLLM, GPTQ, or similar.
• Proficient in prompt engineering, prompt design tools/frameworks, and building robust RAG systems (hybrid search, multi-vector retrieval).
• Proficient with machine learning frameworks (PyTorch, TensorFlow, Keras) and distributed training.
• Strong skills in Natural Language Processing (NLP) techniques (NER, Dependency Parsing, Text Classification, Topic Modeling), transfer learning, and advanced learning paradigms.
• Familiarity with generative AI tools and libraries like LangChain, LlamaIndex, Hugging Face, and major GenAI APIs (e.g., OpenAI, Gemini, Claude, AWS Bedrock).
• Solid experience with both SQL (e.g., PostgreSQL, Oracle, MySQL) and NoSQL (e.g., MongoDB, Cassandra, DynamoDB) databases, including schema design, query optimization, and integration with applications.
• Extensive hands-on experience with at least one major cloud provider (AWS, Azure, or GCP), including services for compute, storage, networking, AI/ML, and data.
• Strong understanding and practical experience with CI/CD pipelines, automated testing, infrastructure as code (IaC), and configuration management.
• Expertise with containerization (Docker) and orchestration (Kubernetes, OpenShift).
• Familiarity with monitoring, logging, and alerting tools for production systems.
• Solid understanding of AI compliance, guardrails, Responsible AI practices, and enterprise security standards within a highly regulated environment.
• Exceptional collaboration and communication skills, capable of effectively bridging the gap between diverse technical teams (AI/ML, Java, DevOps, Cloud) and non-technical stakeholders.
• Proactive and analytical problem-solver, adept at navigating complex technical challenges and driving innovative, cross-domain solutions in a dynamic environment.
• Ability to clearly articulate complex technical concepts, designs, and solutions to diverse audiences, both technical and non-technical.
• Strong passion for continuous learning, innovation, and mentoring, contributing significantly to a culture of technical excellence and organizational transformation.
• At least 6+ years of progressive experience in software engineering and AI/ML development, with a minimum of 5 years specifically focused on Generative AI, Agentic AI, and full-stack AI solutions.
• Demonstrated portfolio of successful, impactful projects leveraging Python, Java, cloud services, and CI/CD/DevOps practices in an enterprise setting.
• Extensive experience working with large-scale distributed systems and architecting solutions for high availability and performance.
• Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, Software Engineering, or a related quantitative field.

Responsibilities

• Lead the design, development, and implementation of sophisticated AI/ML, Generative AI, and Agentic AI solutions, including AI assistant tools, in close collaboration with AI architects, product owners, and cross-functional engineering teams within the Engineering Excellence framework.
• Architect and develop end-to-end AI systems, leveraging both Python for machine learning workflows and Java for scalable enterprise-grade backend services, ensuring seamless integration with existing and new applications.
• Design and implement intelligent agentic systems that exhibit autonomous decision-making capabilities, enabling advanced automation and self-optimizing processes.
• Develop, fine-tune, and optimize Large Language Models (LLMs) using both parameter-efficient techniques and full fine-tuning, focusing on their integration into robust, production-ready systems supported by both Python and Java components.
• Drive the implementation and experimentation with advanced generative AI methods such as prompt engineering and Retrieval-Augmented Generation (RAG), ensuring their effective deployment and performance in enterprise environments.
• Own the deployment pipeline for AI models and associated services, leveraging CI/CD methodologies, containerization (Docker), and orchestration (Kubernetes) on leading cloud platforms (AWS, Azure, GCP) to ensure secure, scalable, and automated releases.
• Apply deep knowledge of database technologies (SQL and NoSQL) to design efficient data storage, retrieval, and management strategies for AI applications, ensuring data integrity and performance.
• Contribute to the establishment and enforcement of engineering best practices, architectural patterns, and tooling standards for full-stack AI development, advocating for maintainability, observability, and cost-efficiency.
• Stay abreast of the latest advancements in AI/ML, Agentic AI, cloud technologies, and DevOps trends, proactively sharing knowledge and driving adoption of innovative solutions.
• Ensure strict adherence to ethical AI guidelines, data privacy regulations, and compliance standards throughout the entire AI solution lifecycle.
• Act as a mentor for junior engineers, providing expert guidance on Python, Java, cloud technologies, and CI/CD best practices, fostering a culture of technical excellence and continuous improvement.

Benefits

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior