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.