Senior AI Mainframe Modernization Engineer
Senior AI Mainframe Modernization Engineer
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8years
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
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.
Requirements
Role:Senior AI Mainframe Modernization Engineer Wealth Management Platforms
Requirements
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.
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
Education
B.E/
Employment Type
Full Time
