Do you want your voice heard and your actions to count?

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.

Job Summary

The Head of Artificial Intelligence Architecture and Strategy leads the design, implementation, and governance of AI systems while aligning AI initiatives with the organization’s strategic goals to drive innovation, efficiency, and ethical AI adoption.

This leadership role focuses on developing a comprehensive AI roadmap, designing scalable and secure AI architectures, and ensuring seamless integration of AI solutions within existing infrastructures. The person in this role bridges the gap between technical teams and business stakeholders, driving AI adoption to generate measurable business value while addressing ethical, regulatory, and operational challenges.

Major Responsibilities

Strategic AI Planning: Define and execute a company-wide AI strategy that aligns with overall business objectives and identifies opportunities for AI-driven innovation.AI Architecture Design: Develop, oversee, and optimize the AI technology stack including infrastructure, data pipelines, model development, deployment, and integration with IT systems.Team Leadership & Collaboration: Lead multidisciplinary teams—including data scientists, AI engineers, and business partners—fostering innovation and collaboration across departments.Project & Resource Management: Manage AI projects end-to-end ensuring timely delivery, budget adherence, and continuous improvement of AI models and systems.Innovation & Research: Stay ahead of AI trends and emerging technologies to continuously evolve AI capabilities and explore advanced techniques such as generative AI and hybrid AI models.Ethics & Compliance: Establish AI governance frameworks ensuring transparency, fairness, data privacy, and adherence to regulatory standards like GDPR or industry-specific mandates.Stakeholder Communication: Clearly communicate AI initiatives’ benefits, risks, and limitations to technical and non-technical audiences including top executives and external partners.

Skills & Qualifications

Strong expertise in AI, machine learning, and deep learning frameworks (e.g., TensorFlow, PyTorch), with hands-on experience in designing and deploying AI systems.Proficiency in programming languages such as Python, Java, or R, and experience with cloud platforms like AWS, Google Cloud, or Azure.Solid understanding of data engineering, big data tools (Hadoop, Spark), and AI model optimization in production environments.Demonstrated leadership and project management capabilities, able to manage cross-functional teams and complex AI initiatives successfully.Strategic thinking with the ability to align AI technologies with business goals and anticipate future technological advances.Excellent communication and interpersonal skills for collaborative work and explaining AI concepts to diverse stakeholders.Commitment to ethical AI practices and a thorough understanding of data security, privacy, and bias mitigation.

Challenges

Keeping pace with rapid advances in AI technology while maintaining reliable, scalable systems.Balancing innovation with practical business constraints such as budget, timeline, and infrastructure limitations.Managing organizational resistance, bridging knowledge gaps, and fostering a culture open to AI-driven transformation.Ensuring AI implementations comply with evolving regulatory frameworks and ethical standards.Attracting and retaining top AI talent in a highly competitive market.

Impact

The Head of Artificial Intelligence Architecture and Strategy plays a pivotal role in shaping the organization's AI future by transforming complex AI technologies into strategic assets that enhance operational efficiency, unlock new revenue streams, and sustain competitive advantage across industries such as healthcare, finance, retail, and manufacturing.

This role requires a blend of technical mastery, visionary leadership, and business acumen to navigate the challenges of AI implementation while fostering innovation and responsible AI usage aligned with corporate values and goals 

The typical base pay range for this role is between $250K - $338K 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.

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.

We are proud to be an Equal Opportunity Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual’s associates or relatives that is protected under applicable federal, state, or local law.