Hybrid Prompt Engineer – LLM Specialist, AVP

at MUFG

• Job title: Prompt Engineer – LLM Specialist, AVP
• Job type: Full Time
• Experience level: Lead
• Salary: $108,000 - $146,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Cyber Security, Python
• Location requirements: Hybrid, Tampa, United States

About the role

• Member of the AI/DX Accelerator Integration team designing and optimizing prompts for AI solutions in the financial services industry. Collaborating on effective AI systems and ensuring compliance with regulations.

Responsibilities

• design, optimize, and implement prompts, tools, and guardrails to support robust, compliant, and efficient AI solutions
• contribute to the development of retrieval-augmented generation (RAG) systems and fine-tune large language models (LLMs)
• develop and refine prompt architectures tailored to financial use cases, ensuring regulatory compliance and minimizing operational risk
• conduct A/B testing and automated evaluations using golden datasets representative of banking and financial scenarios
• collaborate with compliance and risk teams to validate prompt effectiveness and safety
• design advanced retrieval systems (chunking, embeddings, rerankers) for secure and accurate information access in regulated environments
• implement policy-aware filters and automated redaction mechanisms for PII/PCI, adhering to FINRA, SEC, and GDPR standards
• work closely with cybersecurity and legal teams to ensure data protection and auditability
• fine-tune LLMs for financial applications, optimizing for performance, compliance, and cost-effectiveness
• implement robust guardrails to mitigate hallucinations and ensure outputs are defensible and grounded in verified sources
• monitor and report on model performance, integrating feedback from end-users and compliance teams

Requirements

• 3+ years of hands-on experience with LLMs/NLP, including Python and modern machine learning tooling
• Proven track record in deploying AI solutions within highly regulated environments
• Strong understanding of data privacy, security, and ethical AI practices
• In-depth familiarity with banking terminology, document types, and regulatory requirements (e.g., BSA/AML, PCI DSS).
• Experience building defensible AI systems with grounding, citations, and dynamic guardrails
• Demonstrated ability to develop policy-aware retrieval and automated PII/PCI redaction patterns
• Experience collaborating with compliance, risk, and audit teams in financial institutions

Benefits

• 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
• paid vacation
• sick days
• holidays