Senior AI Mainframe Modernization Engineer

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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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Requirements

Role:Senior AI Mainframe Modernization Engineer – Wealth Management Platforms

Location: Weehawken, NJ

Exp: 8+ Years

Requirements

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

WHAT YOU WILL BE DOING:

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)

YOU: (Required Skills)

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

IT WOULD BE GREAT IF YOU:

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

WHAT’S IN IT FOR YOU:

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

Benefits

Visit us at Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.

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