Lead Solution Architect

importance of Solution Architecture across business and technology communities through strong communication, presentations, workshops, and agile development forums. Leverages enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and decisioning across the product family, with human-in-the-loop validation and appropriate handling of sensitive data. Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring traceability/auditability, resiliency, and security controls. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering or architecture concepts and applied experience. Hands-on Solution Architecture experience in enterprise-sized applications spanning functional, information, and technical dimensions, with strong working knowledge of data modeling and meta-modeling (such as UML) or tools such as C4 or MagicDraw. Knowledge of core Solution Architecture capabilities: Micrososervice deployment patterns, Cloud Resiliency, Data Persistence, Data Streaming, Data Quality and Metadata Management. Knowledge of data architecture options including ODS, Data Lake, Data Catalog (DCAT), Data Warehousing, OLTP, and OLAP, and the treatment of data as a technology asset. Demonstrated proficiency in AI, machine learning, or related techniques as applied to architecture or software engineering disciplines. Hands-on experience with object-oriented software development using languages such as Java, Python, or C++; data formats including XML and JSON; and database management technologies including SQL, Oracle, Cassandra, and Public Cloud data offerings. Very strong knowledge of the Financial Services domain with emphasis on institutional businesses including Trading Middle Office, Prime Brokerage, Custody, Fund Accounting, and Securities and Derivatives Products across buy-side and sell-side perspectives. Experience working within lean/agile development frameworks, continuous integration, and continuous delivery. Extremely strong communication and facilitation skills across business and technology stakeholders, with the ability to communicate unambiguously through presentations, documents, workshops, and agile meetings. Ability to evaluate and integrate AI-enabled capabilities into enterprise-grade architectures while meeting resiliency, security, and auditability requirements. Preferred Qualifications, Capabilities, and Skills Hands-on Public Cloud solution design experience, primarily AWS, including architecture certification for a Public Cloud provider. Experience with microservice application development, Service-Oriented Architecture, or N-Tier Architecture. Experience with Infrastructure as Code designs and secure application and software design practices. Experience with Cyber Security concerns informing solution architectures, including working knowledge of industry standards in the authentication and authorization domains. UML experience/exposure #J-18808-Ljbffr