The senior professional responsible for architecting, designing, and leading the development of innovative and scalable AI solutions. 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.
Responsibilities:- 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.
- Has the ability to operate with a limited level of direct supervision.
- Can exercise independence of judgement and autonomy.
- Acts as SME to senior stakeholders and /or other team members.
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Qualifications:
- 10-12 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.
- SAS, SQL, Tableau skills are plus
- 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.
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Job Family Group: Operations - Services------------------------------------------------------
Job Family:Business KYC------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Business Acumen, Credible Challenge, Laws and Regulations, Management Reporting, Policy and Procedure, Program Management, Referral and Escalation, Risk Controls and Monitors, Risk Identification and Assessment, Risk Remediation.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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Skills Required
- 10-12 years overall experience with minimum 2.5 years 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 RL feedback loops
- Proven ability to architect and design highly scalable, available, and performant technology solutions
- Deep expertise in agent training, performance measurement, correction, and feedback processes
- Proven ability to mentor and lead technical teams
- Strong exposure to program/project management and Agile methodologies
- In-depth knowledge of compliance, security, and performance management in production environments
- Ability to operate with limited supervision, exercise independent judgement, and act as SME to senior stakeholders
- SAS
- SQL
- Tableau
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
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