Senior GenAI Platform Engineer - Python, VP
Citi · New York, NY · 4 days ago
HybridEngineering$142k–$213k/yrFull-time
About the role
Citi's global Innovation Labs is seeking a versatile Senior GenAI Platform Engineer to spearhead the design and development of cutting-edge Generative AI platforms. This role is a key driver in creating a competitive advantage for Citi’s lines of business by architecting and delivering high-impact, scalable AI solutions primarily using Python, while also leveraging Node.js and TypeScript.
Responsibilities
- Lead the design, development, and maintenance of highly complex GenAI platforms, applications, and services using Python, Node.js, and TypeScript.
- Ensure the seamless operation, scalability, and integration of AI capabilities across various Citi business units.
- Engage with data science, technical, and business stakeholders to define and design the overall architecture for key use-cases.
- Drive the deployment of new GenAI products and process improvements, working with internal and external partners to design, validate, and deliver solutions.
- Resolve high-impact technical and business problems, leading projects through in-depth evaluation of complex business processes, system architecture, and industry standards.
- Provide expert guidance and advanced knowledge in modern programming, ensuring platform design adheres to architectural blueprints and best practices for generative models.
- Develop and enforce robust coding standards, testing methodologies, debugging practices, and implementation strategies for enterprise-grade solutions across Python, Node.js, and TypeScript.
- Manage multiple concurrent initiatives and projects of varying sizes and complexity.
- Engage with external vendors and startups for joint initiatives and exploration of new technologies.
- Cultivate a comprehensive understanding of how business, architecture, and infrastructure integrate within the GenAI ecosystem at Citi.
- Serve as an advisor and coach to mid-level developers and analysts specializing in AI technologies to foster skill development.
- Collaborate with Citi's Risk and Control teams to ensure best practices are followed regarding governance, risk management, standardization, and tooling.
Qualifications
- 7+ years of experience in the software industry, with a strong emphasis on building enterprise software.
- 6+ years of relevant experience developing and implementing scalable and robust platforms, applications, and services using modern libraries and frameworks (e.g., Python: FastAPI, Flask, Pandas, Scikit-learn, Hugging Face; Node.js: Express, NestJS; TypeScript).
- 5+ years of experience delivering complex backend solutions and services (e.g., APIs, microservices) into production.
- Demonstrated experience in managing and implementing successful projects of varying sizes and complexities.
- Proven understanding of Generative AI systems, AIOps, and application monitoring/evaluation.
- Experience with cloud architectures, with specific experience in public cloud offerings.
- Strong passion and proven hands-on experience integrating with AI/ML technologies.
- Experience with software development agents, agile development, CI/CD pipelines, software testing, and code reviews.
- Able to quickly learn new technologies, adjust priorities, influence highly skilled engineering teams, and guide technology decisions.
- Demonstrated leadership and project management skills.
- Excellent communication and documentation skills, with the ability to communicate clearly and concisely, both written and verbal.
- Strong analytical, problem-solving skills, and a strategic mindset.
- Experience in the financial industry is a significant advantage.