Software Engineering Lead - GenAI Platform Modernization, VP

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., * 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., * 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.

• 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., * Operate as a senior engineering leader who can translate ambiguous business and technology goals into executable architecture, delivery plans, and measurable outcomes.
• Communicate effectively with executive stakeholders, architects, product owners, risk partners, vendor teams, and engineering squads.
• Balance hands-on technical credibility with people leadership, coaching, prioritization, delivery governance, and long-term platform strategy.

Education:

*Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience

"Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position."

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. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.

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

MUFG Benefits Summary

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance, and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act, and (b) they do not conflict with the background screening requirements of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA). The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment, if any.

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.