Job Description The Senior AI Engineer is a senior professional responsible for architecting, designing, and leading the development of innovative and scalable AI solutions in coordination with the AI Innovation team. The overall objective is to leverage deep technical expertise and leadership skills to drive the execution of key AI initiatives and mentor other team members. This role supports a dual-track career path for both Senior Individual Contributors and developing People Managers (AVP).
Задачи
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
This includes evaluating different agentic architectures and evolving industry practices to select the optimal approach
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
Mentor a team of junior and intermediate engineers and data scientists, training them in advanced Agentic solution development and software engineering best practices
Oversee project/program management using Agile processes, including planning and managing development timelines and deliverables
Требования
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
Expert-level understanding of Agentic solution design, including architecture selection, memory management, hallucination control, and reinforcement learning feedback loops
Strong experience in architecting and designing highly scalable, available, and performant technology solutions
Deep expertise in Agent training, performance measurement, and feedback processes
Proven ability to mentor and lead technical teams
Strong exposure to program/project management, Agile methodologies, and planning development timelines
In-depth knowledge of compliance, security, and performance management in a production environment
Mastery of Python, AI/ML frameworks (PyTorch, TensorFlow, LangChain), MLOps, and cloud-native architectures (Kubernetes)
Education
Bachelor's/University degree or equivalent experience
Master's degree preferred in Computer Science, AI, Engineering, or a related quantitative field
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required
Most Relevant Skills Please see the requirements listed above
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi
View Citi’s EEO Policy Statement and the Know Your Rights poster
Условия
(For Manager Track - AVP): Begin to take on formal people management responsibilities, including performance reviews, career development, and team building
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