Software Engineering Lead - GenAI Platform Modernization, VP

About the role

We are seeking a highly experienced VP Software Engineering lead focusing on AI-enabled engineering transformation, enterprise integration, and platform modernization within Transaction Banking Technology.

Responsibilities

• Lead enterprise platform modernization programs across Transaction Banking with accountability for architecture, execution, adoption, and operational readiness.
• Design and productionize agentic GenAI solutions for engineering productivity, legacy modernization, operational diagnosis, and knowledge retrieval in regulated banking environments.
• Build and govern reusable AI platform patterns including prompt templates, tool/function calling, context management, reducer/summarization logic, evaluation instrumentation, and LLM gateway integration.
• Deliver Graph RAG and knowledge systems using graph databases, vector retrieval, text-to-query patterns, embeddings, and auditable execution ledgers.
• Own distributed integration architecture across REST APIs, IBM MQ, Kafka, file-based interfaces, and event-driven systems.
• Partner with enterprise governance, cyber, risk, and architecture teams to ensure AI, data, and integration solutions meet security, audit, resilience, and control expectations.
• Lead vendor architecture reviews, RFP evaluations, technical due diligence, and re-platforming assessments to determine where capabilities should be bought, integrated, or insourced.
• Mentor senior engineers, establish reusable engineering frameworks, and promote adoption across US and global delivery teams.

Requirements

• 10+ years of software engineering experience in financial services, with significant ownership of enterprise platforms, distributed systems, or banking technology delivery.
• Deep hands-on experience with Java and Python, including microservices, REST APIs, SQL, integration frameworks, and production-grade platform design.
• Strong experience with Generative AI or applied AI engineering, including LLM integration, LangChain/LangGraph or comparable orchestration frameworks, prompt engineering, RAG, agentic workflows, and evaluation approaches.
• Experience building governed, auditable systems in regulated environments, including metadata capture, run identifiers, token/cost accounting, traceability, failure classification, and operational controls.
• Strong cloud/platform engineering background including Kubernetes, Docker, CI/CD, health-check frameworks, reliability engineering, and production observability.
• Demonstrated leadership across architecture, delivery, mentoring, cross-team adoption, documentation, SRE partnership, QA strategy, and production support.
• Bachelor's degree in Computer Science, Engineering, or related discipline; equivalent practical experience in enterprise software engineering will be considered.

Qualifications

• Transaction Banking and payments technology including ACH, wires, payment initiation, clearing, settlement, reporting, exception handling, and reconciliation.
• SWIFT, ISO 20022, MT formats, BAI/BAI2, lockbox, account reporting, and bank file-based integration patterns.
• Legacy modernization programs involving code analysis, specification generation, re-platforming, vendor capability replacement, and measurable productivity improvement.

Skills

• Generative AI or applied AI engineering.
• Java and Python.
• Cloud/platform engineering (Kubernetes, Docker, CI/CD, etc.).
• Enterprise platform design and governance.
• Legacy modernization and re-platforming.
• Regulated environment compliance (metadata capture, run identifiers, token/cost accounting, traceability, failure classification, operational controls).
• Vendor architecture reviews and RFP evaluations.
• Technical due diligence and re-platforming assessments.
• Leadership and mentoring.
• Software engineering experience in financial services.

Benefits

• Comprehensive health and wellness benefits.
• Retailer retirement plans.
• Educational assistance and training programs.
• Income replacement for qualified employees with disabilities.
• Paid maternity and parental bonding leave.
• Paid vacation, sick days, and holidays.

Pay

The typical base pay range for this role is as follows: New York / New Jersey: $140k – $205k depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation.

Schedule

Our hybrid work schedule is four days on-site and work remotely one day per week.