Lead BI and AIML Engineer, VP

Do you want your voice heard and your actions to count

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG) one of the worlds leading financial groups. Across the globe were 150000 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 worlds most trusted financial group its 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 Data Platform Engineering team is embarking on a transformative journey to define enable and drive our data strategy. We aim to engage with partners across technology data business and operations to develop and deliver business outcomes.

Our team is seeking an experienced and dynamic individual to join as Lead Data AI (AI/ML ops) and BI (Business Intelligence & Data consumption) VP to be an SME & Leader into the Enterprise Data & Data Capabilities group. (aka: EDDC)

• This visible and impactful position requires engaging with variety of stakeholders and technologists. This role will help define Cloud Data-Ops AI-ML solutions and Capabilities in line with the overall data strategy of technology and business
• This role requires a deep understanding of data management strategies best practices and innovative technologies including data virtualization data pipelines data consumption and data reporting and AI/ML ecosystems.
• With AI/ML technologies playing a critical role in content creation personalization and audience engagement this role expertise will be instrumental in optimizing resource utilization managing budgets and implementing innovative cost-saving strategies.
• Act as proactive leader who understands the interplay between development security and operations in AI/ML workflows.

Roles and Responsibilities:

• Provide leadership in helping the EDDC group with AWS operational aspects - IAM roles Policies and Permissions security guardrails.
• Guide and pursuit the aspects related to reliability scalability and performance of MUFGs Cloud infrastructure platforms and applications
• Extend help in cloud architecture & migration as well as setting up AWS AI/ML Solutions (with a focus on AWS Bedrock SageMaker Amazon Q)
• Work with cutting-edge ML models and AI-driven applications focusing on improving (RAG) systems and evolving MCP practices to develop scalable solutions.
• Utilize Pinecone or Singlestore for scalable vector search solutions enhancing the performance of search/retrieval systems with fast scalable vector search techniques.
• Manage large datasets applying best practices in machine learning to ensure robust model training validation and deployment pipelines.
• Design and implement robust CI/CD pipelines for AI/ML model development testing and deployment ensuring minimal downtime and maximum efficiency.
• Automate model versioning retraining and deployment workflows to streamline the AI/ML monitoring and alerting mechanisms to ensure the continuous health of AI/ML pipelines.
• Maintain active Interface with Cloud-Engineering and Cloud SecOps in smooth resource provisioning and its usage for the data services group applications.
• Assist in evolving DevOps & Automation practices (Terraform CI/CD etc.) Drive the adoption of (IaC) to streamline operations minimize manual work add scalability.
• Evolve practices to adhere to MUFG Security & Compliance (Secure by Design Zero-Trust IAM Guardrails KMS SCPs)
• Develop technical documentation user guides and presentations for diverse teams
• Continuously evaluate system design and usage to identify opportunities for cost optimization ensuring cloud infrastructure efficiency.
• Collaborate with cross-functional teams working closely with Data Scientists Product Managers and Backend Engineers to deploy AI solutions into production.
• Conduct ongoing research to stay updated with advancements in generative AI machine learning and deep learning integrating innovative solutions into products and services.
• Guide and aid business intelligence and reporting groups; Streamline the BI-Ecosystems

Engineering & Technical Skills:

• Experience with design and engineering of AWS cloud resources for enterprise data platforms data pipelines (ETL) and data controls and reporting and analytic solutions.
• Strong understanding of data management strategies best practices and innovative technologies. Experience with relational databases such as Oracle RDS Snowflake etc. and with data virtualization tools such as Starburst and Denodo.
• Experience with data movement tools such as Informatica Data Sync FsX AWS Glue Airflow and messaging streams (Kinesis).
• Experience with data visualization tools such as Tableau Power Bi AWS Quicksight etc.
• Exposure to AI Solutions: AWS Bedrock Sagemaker Amazon Q AWS Data Automation Lang Graph MCPs Agentic AI
• Expertise in AWS Cloud internals: API Gateway EC2 S3 IAM Lambda RDS EKS CloudFront Route 53 Control Tower MWAA EMR Glue ETL Athena AWS Config KMS Kinesis SQS OpenSearch etc.
• Experience in CI/CD tools - DevOps: Jenkins AWS Code Deploy Code Pipeline GitHub Terraform Cloudbees
• Possess functional coding skills of in Python Scala and database procedural languages and automation scripting with Java Script /
• Experience in Jira Confluence MS Office.

Qualifications:

• 10 years of data experience in the large financial Services sector from a technology data and/or business operations perspective.
• 5 years of experience in managing and dealing with AWS cloud internals engineering and operations. (Dealt with on-prem to cloud migrations)
• 10 years in solution design architecture engineering and/or development.
• 5 years of experience in data management and/or data product development.
• Have either an AWS associate or professional certification (or equivalent)
• Proven experience as an Integration Engineer or similar role.
• Bachelors degree in science business management or finance-related fields.
• Firsthand experience with GenAI models (e.g. GPT Claude PaLM or similar).
• Proficiency in Python and ML frameworks like TensorFlow PyTorch or Hugging Face Transformers.
• Solid understanding of MLOps practices including CI/CD for ML model versioning and model monitoring.
• Familiarity with Agentic AI frameworks (e.g. LangChain AutoGPT CrewAI) is a plus.
• Experience with containerization and orchestration tools (Docker Kubernetes).
• Experience with vector databases (preferred).
• Understanding of responsible AI and model interpretability (preferred).

Education:

Bachelors 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 between $140K - $173K depending on job-related knowledge skills experience and location. This role may also be eligible for certain discretionary performance-based bonuses 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 individuals associates or relatives that is protected under applicable federal state or local law.