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Discover your future at Citi. Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 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 Responsibility:
AVP: Architect, design, and lead the development of production-grade Generative AI applications and complex Agentic solutions
Define and drive technical strategy for AI projects, including making key decisions on architecture, frameworks, and tools
Lead the design and implementation of agent training, performance measurement, correction, and feedback processes, and create/articulate new architectural options
Ensure solutions meet stringent compliance, security, and performance management standards
VP: Lead the architecture, design, and development of mission-critical, production-grade Generative AI applications and Agentic solutions, ensuring they are scalable, reliable, and secure
Define and own the technical roadmap for AI platforms, making critical decisions on architecture, technology stacks, and long-term evolution
Drive the strategy for designing and redesigning business processes with Agentic solutions, focusing on advanced agent architecture, memory management, hallucination control, and reinforcement learning-based feedback loops
Champion and enforce best practices for compliance, security, MLOps, and Model Governance across all AI projects
SVP: Define and own the long-term architectural vision and strategy for Generative AI and Agentic systems across the enterprise, ensuring alignment with business goals and future growth
Lead the research, design, and prototyping of next-generation AI platforms and 'first-of-a-kind' capabilities, establishing new patterns for the organization
Act as the lead architect for the most complex and critical AI initiatives, ensuring solutions are built for planetary scale, with the highest standards of reliability, security, and performance
Set the technical standards for AI development, including frameworks, tools, MLOps, and Model Governance, influencing teams across the organization
Requirements:
AVP: 7-10 years of overall experience with a minimum of 2.5 years of experience in architecting and developing production-ready Gen AI RAG or Agent-based solutions
VP: 11-14 years of overall experience with a minimum of 3 years leading the development of production-ready Gen AI RAG or Agent-based solutions
SVP: 14+ years of extensive software architecture and engineering experience, with a significant focus on AI/ML
Bachelor's/University degree
Master's degree or PhD preferred in Computer Science, AI, Engineering, or a related quantitative field
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