Software Engineering Lead - GenAI Platform Modernization, VP

MUFG•Jersey City, NJ

20h•$140,000 - $205,000•Hybrid

About The Position

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. The role combines hands-on architecture leadership with delivery accountability across regulated banking platforms, including payments, workflow orchestration, real-time integration, observability, and AI governance. The VP will drive the design and production adoption of agentic GenAI capabilities, Graph RAG knowledge systems, and modernization accelerators that convert legacy platform complexity into clear specifications, reusable engineering patterns, and measurable delivery outcomes. This includes partnering closely with Product, Operations, SRE, QA, Security, Architecture, and vendor teams to ensure solutions are scalable, governed, auditable, and fit for enterprise production use. A key priority is to strengthen internal engineering ownership by reducing long-term dependence on third-party platforms where appropriate, rebuilding critical capabilities within bank-controlled platforms, and using AI-assisted development to accelerate re-platforming, operational diagnosis, and production support.

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.

Nice To Haves

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.

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.