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If you are a Senior AI Mainframe Modernization Engineer – Wealth Management Platforms looking for excitement, challenge and stability in your work, then you would be glad to come across this page.
We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long term project. Here are a few details.
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Location: Weehawken, NJ
Exp: 8+ Years
Title: Senior AI Mainframe Modernization Engineer – Wealth Management Platforms
Location: Weehawken, NJ (Onsite)
Duration: 12+ months (Contract)
Rate: Market Competitive (Open to C2C/W2)
Citizenship Requirement: USC/H1b/GC/H4EAD
We are seeking a Senior AI Mainframe Modernization Engineer to lead the transformation of legacy wealth management systems into agile, AI-powered architectures. This is a hands-on leadership role requiring deep technical expertise, executive communication, and cross-functional collaboration.
Lead modernization of legacy mainframe systems (e.g., account servicing, trade settlement, portfolio reporting).
Implement AI/ML-assisted code analysis and automated refactoring strategies.
Translate COBOL/VSAM-based workflows into cloud-native microservices using Java, Python , and Groovy .
Design secure, scalable solutions aligned with FINRA, SEC , and internal compliance standards.
Conduct impact assessments and dependency mapping with AI-powered tools .
Interface directly with CIOs, business leaders, and operations executives to align technical strategy with business outcomes.
Define hybrid cloud migration strategies (AWS/Azure) for enterprise workloads.
Drive DevOps implementation and automation with Jenkins, GitLab, and Groovy-based pipelines .
Support agile transformation and innovation for wealth platforms using GenAI and modern engineering practices.
Scheduled Hours: Monday–Friday (Full-time availability expected)
Are experienced in each of:
Bachelor’s or Master’s in Computer Science, Engineering, or related field
7+ years of software engineering experience with 3+ years in mainframe modernization in financial services
Hands-on knowledge of IBM z/OS, COBOL, JCL , and migration to Java/Python stacks
Strong Groovy scripting skills for automation, builds, and testing
Experience in CI/CD with GitLab, Jenkins, and cloud-based DevOps workflows
Proven ability to communicate modernization strategy to C-level executives and technology leadership
Also bring experience with:
Wealth/Asset Management platforms: onboarding, portfolio management, trade lifecycle, and reconciliation
Investment platforms, RIA tech stacks, or institutional wealth platforms
AI-driven tools for dependency analysis and code translation (e.g., IBM ADDI, Modern Systems, LLM-based refactoring)
Deployment of modernized services to AWS or Azure , including serverless or Kubernetes environments
Cloud and AI certifications (e.g., AWS Developer, Microsoft AI Engineer, Google ML Engineer)
Exposure to regulatory reporting frameworks like MiFID II , Form ADV , or equivalent
Lead cutting-edge modernization of core financial infrastructure
Partner with executives and domain experts on business-critical transformation
Use advanced AI and automation to unlock legacy data and modernize tech stacks
Influence cloud strategy, architecture, and digital delivery in a regulated financial services environment
Long-term engagement potential in high-impact wealth management transformation projects
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