Senior Vice President - Data Science and Gen AI
Citigroup · India
Job Description
The Principal AI Engineer / SVP is a senior leader responsible for defining and driving the overall AI technical strategy and architecture for the organization. The overall objective of this role is to act as the organization's foremost technical authority on AI, leading the charge on innovation, setting long-term architectural vision, and ensuring the delivery of robust, scalable, and transformative AI platforms. This role represents the pinnacle of the dual-track career path, for either a top-tier technical expert (Principal) or a strategic people leader (SVP).
Responsibilities:
- 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.
- Mentor and develop senior technical talent (Lead and Senior Engineers), acting as a "force multiplier" to elevate the technical capabilities of the entire department.
- Lead and scale a multi-tiered organization of AI professionals, setting the vision, managing budget, and representing the AI function at the senior executive level.
- Serve as the primary technical advisor to senior leadership on all matters related to AI, including opportunities, risks, and competitive landscape.
- Drive a culture of innovation, experimentation, and technical excellence.
Qualifications:
- 14+ years of extensive software architecture and engineering experience, with a significant focus on AI/ML.
- World-class expertise in software architecture, with a proven track record of designing and delivering large-scale, distributed, and highly available systems.
- Deep and authoritative knowledge of Generative AI, including LLMs, and extensive experience architecting and building complex, production-grade Agentic solutions.
- Ability to define and articulate new architectural options and strategies to solve complex business and technical problems.
- Recognized thought leader in AI, with experience in influencing and driving technical direction across a large enterprise.
- Exceptional leadership and mentoring capabilities, with experience developing senior-level technical talent.
- (For Manager Track): Proven experience in senior people management, organizational design, and strategic planning.
- Deep understanding of the financial services domain, including regulatory, compliance, and security challenges.
- Mastery of cloud-native technologies, MLOps, and the entire AI/ML lifecycle.
Education:
- Bachelor's/University degree; Master's degree or PhD 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.
Job Description
The SVP is a senior technical leader responsible for defining and driving the AI technical evaluation and governance strategy for Wealth. This is an individual contributor role with the overall objective to provide foremost technical authority on AI, leading the charge on innovation, setting long-term architectural vision, and ensuring the delivery of robust, scalable, and transformative AI platforms, with a significant focus on evaluation and governance at scale.
Responsibilities:
- 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.
- Define and develop key ecosystem layers including evaluation and governance that can be embedded in large client/ FA facing solutions.
- 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.
- Mentor and develop senior technical talent (Lead and Senior Engineers), acting as a "force multiplier" to elevate the technical capabilities of the entire department.
- Lead and scale a multi-tiered organization of AI professionals, setting the vision, managing budget, and representing the AI function at the senior executive level.
- Serve as the primary technical advisor to senior leadership on all matters related to AI, including opportunities, risks, and competitive landscape.
- Drive a culture of innovation, experimentation, and technical excellence.
Qualifications:
- 14+ years of extensive software architecture and engineering experience, with a significant focus on AI/ML.
- World-class expertise in software architecture, with a proven track record of designing and delivering large-scale, distributed, and highly available systems.
- Deep and authoritative knowledge of Generative AI, including LLMs, and extensive experience architecting and building complex, production-grade Agentic solutions.
- Ability to define and articulate new architectural options and strategies to solve complex business and technical problems.
- Recognized thought leader in AI, with experience in influencing and driving technical direction across a large enterprise.
- Exceptional leadership and mentoring capabilities, with experience developing senior-level technical talent.
- Deep understanding of the financial services domain, including regulatory, compliance, and security challenges.
- Mastery of cloud-native technologies, MLOps, and the entire AI/ML lifecycle.
Education:
- Bachelor's/University degree; Master's degree or PhD 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.
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Job Family Group:
Decision Management------------------------------------------------------
Job Family:
Specialized Analytics (Data Science/Computational Statistics)------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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