Lead Software Engineer - Salesforce- Business Banking

We are seeking a senior, hands-on Salesforce engineer who can design and deliver secure solutions while coaching and influencing across teams. You will own end-to-end technical execution (design through production support), support architectural evaluations with internal and external partners, and help modernize platforms through automation, optimization, and capabilities including AI/LLM and Agentforce . Key Responsibilities Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies 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. Design, develop, and troubleshoot software solutions; break down complex technical problems using practical, effective approaches. Build secure, production-grade code; review, debug, and improve code written by others. Identify recurring issues and implement elimination/automation strategies to improve the operational stability of applications and systems. Participate in evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and fit within the enterprise information architecture. Contribute to communities of practice to drive awareness and adoption of emerging technologies across software engineering. Contribute to a team culture rooted in diversity, equity, inclusion, and respect. Required Qualifications (Must Have) Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices. Senior-level engineering experience with demonstrated coaching/mentorship, while remaining hands-on. 5+ years of Salesforce development experience , including deep expertise in: Agentforce and AI/LLM-related capabilities/use cases Apex Lightning Web Components (LWC) Triggers, Flows Sales Cloud, Service Cloud, Financial Services Cloud (FSC) REST APIs, web callouts/integrations Strong communication skills and executive presence; able to explain technical details clearly, including how systems work end-to-end and why design decisions were made. Proven experience handling large data volumes, performance tuning, and platform/application optimizations. Preferred Qualifications (Nice to Have) Financial services industry experience. Experience building or integrating cloud-native applications. AWS experience. Java experience. Familiarity with Jira, Bitbucket, and source control/version control systems. What Success Looks Like Releases delivered reliably with measurable improvements in stability and performance. Strong design decisions, effective code reviews, and active coaching that raises team capability. Scalable Salesforce solutions aligned to enterprise architecture and integration standards.