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  http : / / alignity.io / careers . Alignity Solutions is an Equal Opportunity Employer, M / F / V / D.

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