Job description

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. Role Overview: MUFG is seeking a highly motivated Security Engineer to design, develop, and deploy autonomous agents that eliminate manual overhead and drive intelligent decision-making across the organization while ensuring proper guardrails and security controls are implemented. Key Responsibilities Agentic Workflow Design: Build and maintain AI agents capable of multi-step reasoning and tool-use to automate cyber security use cases such as Autonomous Incident Investigation, vulnerability prioritization. Advanced Prompt Engineering with expertise in designing high-precision, version-controlled prompts with ability to programmatically optimize LLM outputs for reliable security logic and automated remediation scripts. Use and fine-tune machine learning models (like Deep Learning, K-MEANS, SVM etc) to identify sophisticated attack patterns that bypass traditional signature-based defenses. LLM Integration: Integrate large language models (OpenAI, Anthropic, or open-source models into production environments via APIs or local deployments. Data Pipeline Orchestration: Develop and optimize data ingestion pipelines, specifically focusing on Vector Databases Process Mapping & Optimization: Audit existing manual workflows and re-engineer them using a Machine-First mindset, utilizing LLMs to handle unstructured data. Infrastructure & MLOps: Deploy and monitor AI solutions using cloud-native tools, ensuring high availability, low latency, and cost-efficiency. Safety & Compliance: Implement guardrails for AI outputs to ensure ethical standards, data privacy, and Human-in-the-loop checkpoints where necessary. Qualifications: Experience in Python with hands-on in data ingestion, cleaning, machine learning libraries preferably in Scikit-Learn, Pytorch, system and web-based integrations. AI Frameworks: Proficiency with LangChain, CrewAI, or AutoGPT for agent orchestration. Machine Learning: Hands-on experience in using and tuning Machine Learning models for wide range of cyber security use cases. 3-4 years of hands-on experience with at least on the cloud AI solution (AWS Bedrock/SageMaker, Azure AI) DevOps: Docker, Kubernetes, and Git for version control and deployment. Deep experience with RESTful and GraphQL APIs to connect disparate systems. Education: Bachelor s or Masters degree in Cybersecurity, Computer Science, Artificial Intelligence or related field, or relevant industry certifications. Equivalent work experience is equally preferable. Preferred Certifications: GIAC Machine Learning Engineer AWS Certified Machine Learning Engineer Microsoft Certified: Azure AI Engineer Associate Certified Information Systems Security Professional (CISSP) “ 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 – $203K Non - New York/ New Jersey $140k - 185k 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. 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.

Requirements

Must-haves

Do you want your voice heard and your actions to count?
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.
Agentic Workflow Design: Build and maintain AI agents capable of multi-step reasoning and tool-use to automate cyber security use cases such as Autonomous Incident Investigation, vulnerability prioritization.
Advanced Prompt Engineering with expertise in designing high-precision, version-controlled prompts with ability to programmatically optimize LLM outputs for reliable security logic and automated remediation scripts.
Use and fine-tune machine learning models (like Deep Learning, K-MEANS, SVM etc) to identify sophisticated attack patterns that bypass traditional signature-based defenses.
LLM Integration: Integrate large language models (OpenAI, Anthropic, or open-source models into production environments via APIs or local deployments.
Data Pipeline Orchestration: Develop and optimize data ingestion pipelines, specifically focusing on Vector Databases
Process Mapping & Optimization: Audit existing manual workflows and re-engineer them using a Machine-First mindset, utilizing LLMs to handle unstructured data.
Infrastructure & MLOps: Deploy and monitor AI solutions using cloud-native tools, ensuring high availability, low latency, and cost-efficiency.
Safety & Compliance: Implement guardrails for AI outputs to ensure ethical standards, data privacy, and Human-in-the-loop checkpoints where necessary.
Experience in Python with hands-on in data ingestion, cleaning, machine learning libraries preferably in Scikit-Learn, Pytorch, system and web-based integrations.
AI Frameworks: Proficiency with LangChain, CrewAI, or AutoGPT for agent orchestration.
Machine Learning: Hands-on experience in using and tuning Machine Learning models for wide range of cyber security use cases.
3-4 years of hands-on experience with at least on the cloud AI solution (AWS Bedrock/SageMaker, Azure AI)
DevOps: Docker, Kubernetes, and Git for version control and deployment.
Deep experience with RESTful and GraphQL APIs to connect disparate systems.
Bachelor s or Masters degree in Cybersecurity, Computer Science, Artificial Intelligence or related field, or relevant industry certifications. Equivalent work experience is equally preferable.
GIAC Machine Learning Engineer
AWS Certified Machine Learning Engineer
Microsoft Certified: Azure AI Engineer Associate
Certified Information Systems Security Professional (CISSP)
“ Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position.”
New York / New Jersey: $140k – $203K

Nice-to-haves

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Keywords to mirror

aillmmachine learningpythonawsazuredockerkubernetesgraphql

Platform: workday
Effort: long

Benefits

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