Senior AI Mainframe Modernization Engineer

Overview

On Site

$60 - $65

Contract - W2

Contract - Independent

Contract - 6 Month(s)

No Travel Required

Skills

Mainframe

AI/ML

Groovy scripting

mainframe modernization

mainframe systems

Job Details

Senior AI Mainframe Modernization Engineer

Onsite in Weehawken, NJ

Any working Visa is fine : / H1b

6+ Months

Senior AI Mainframe Modernization Engineer / Weehawken, NJ

About the Role:

We are seeking a forward-thinking Senior AI Mainframe Modernization Engineer to join our technology group. This role will be at the tip of the spear in modernizing legacy mainframe systems into agile, AI-enhanced architectures that support next-generation digital wealth platforms. You ll serve as a technical modernization lead, guiding cross-functional teams and frequently interfacing with executive and C-suite stakeholders to align modernization initiatives with strategic business goals.

This is a hands-on engineering and advisory role ideal for someone who can operate across deep technical challenges, large-scale transformation programs, and high-stakes executive communications.

Key Responsibilities:

Lead the modernization of mainframe-based wealth management systems (e.g., account servicing, trade settlement, portfolio reporting, data aggregation).
Implement modernization strategies using AI/ML-assisted code analysis, automated refactoring, and cloud-native development.
Replace or integrate legacy COBOL/VSAM functions with scalable microservices using Java and Python.
Leverage Groovy scripting for automation (e.g., pipeline orchestration, Gradle builds, testing frameworks).
Collaborate with Wealth business leaders, CIOs, and Heads of Operations to understand platform needs and communicate modernization roadmaps effectively.
Conduct impact assessments and dependency mapping using AI-powered tools for large, entangled mainframe estates.
Implement secure and regulatory-compliant modernization aligned with FINRA, SEC, and internal audit standards.
Contribute to the design of enterprise cloud migration patterns (e.g., AWS/Azure) and hybrid hosting strategies.

Required Qualifications:

Bachelor s or Master s degree in Computer Science, Engineering, or a related field.
7+ years of software development experience, including 3+ years in mainframe modernization within financial services.
Hands-on experience with mainframe systems (e.g., IBM z/OS, COBOL, JCL) and modernization using Java/Python-based stacks.
Strong expertise in Groovy scripting, automation tooling, and DevOps (CI/CD, GitLab, Jenkins).
Excellent communication skills; proven ability to engage senior business and technology executives on technical strategy and transformation.

Preferred Qualifications:

Understanding of Wealth & Asset Management processes: client onboarding, portfolio management, trade lifecycle, reconciliation, and compliance reporting.
Prior experience working with investment platforms, RIA technology stacks, or institutional wealth solutions.
Experience with AI-driven tools for code translation, dependency analysis, or impact forecasting (e.g., IBM ADDI, Modern Systems, or custom LLM-based tools).
Experience deploying modernized services to AWS or Azure, including the use of serverless and Kubernetes-based environments.
Cloud or AI certifications (e.g., AWS Certified Developer, Microsoft AI Engineer, Google Cloud ML Engineer).
Exposure to regulatory reporting systems and compliance frameworks (e.g., MiFID II, Form ADV).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.