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Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support firm's portfolios.\nYou will spend most of your time hands-on, designing and building the APIs, data pipelines, and integrations that operates on large volume data sets. The remainder goes into setting technical direction , design reviews and defining how teams build & utilizes the solutions.\nJob responsibilities\nCreates complex and scalable coding frameworks using appropriate software design frameworks\nDefines and leads multiple technology and process implementations across groups to achieve firmwide technology objectives, working in a matrix model\nProduces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development\nDevelops secure and high-quality production code, and reviews and debugs code written by others\nArchitects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, releases readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams\nApplies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale\nAdvises cross-functional teams on technological matters within domain of expertise and serves as the function's go-to subject matter expert\nContributes to the development of technical methods in specialized fields in line with the latest product development methodologies\nInfluences leaders and senior stakeholders across business, product, and technology teams\nEngineers the platform's query and data access layer over firmwide code intelligence infrastructure, owning query latency, data freshness, resiliency, and cost characteristics as consumption grows across the firm's codebase\nDefines how SDLC controls, compliance checks, and engineering workflows execute against real code structure rather than manual review, and drives adoption by delivering the reference integrations, consumption patterns, and standards other teams build against\nRequired qualifications, capabilities, and skills\nFormal training or certification on software engineering concepts and advanced applied experience\nHands-on practical experience delivering system design, application development, testing, and operational stability\nExpert in one or more programming language(s), preferably Java\nDemonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data, grounded in a strong understanding of responsible AI use, control expectations, and risk-based governance in engineering workflows\nExperience applying expertise and new methods to determine solutions 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