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Tier-1 brand and AI focus increase applicant interest, but seniority and specialization limit broad competition.
Specialized ML/AI platform, agent frameworks, and Citi risk/compliance context reduce cross-industry transferability.
Mandatory 13+ years, GenAI/Agent tooling and platform experience create strict shortlisting filters.
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Own and lead technical components of Citi's Enterprise AI platform, aligning engineering output with business objectives and product strategy.
Engage directly with business partners to understand detailed business problems and translate these into technical solutions and roadmaps that support commercial goals.
Lead architecture and development of AI-enabled solutions, including maintenance of CI/CD pipelines and ensuring integration with broader platforms and teams.
13+ years of experience as senior developer, technical lead, or similar role.
Proficiency in Java or Python; hands-on experience with both preferred; experience with Postgres or Oracle databases.
Experience with Generative AI, AI Agents (especially Google ADK), and CI/CD tooling such as Jenkins, uDeploy, Tekton, or Harness.
Bachelor's degree in Computer Science, Engineering, or related field.
Experienced in driving technical strategy and managing complex engineering roadmaps in collaboration with senior stakeholders including MD-level.
Strong technical leader with expertise in object-oriented design and architecture, who can mentor junior members and lead teams potentially including line management.
Comfortable operating in fast-paced, evolving environments with direct business engagement and ability to balance technical and commercial priorities.