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Consulting Principal, AI-Led Mainframe Modernization

Remote / Online - Candidates ideally in
Vernon Hills, Lake County, Illinois, 60061, USA
Listing for: Cognizant Technology Solutions Corporation
Remote/Work from Home position
Listed on 2026-10-31
Job specializations:
  • IT/Tech
    AI Business & Operations, IT Consultant
Salary/Wage Range or Industry Benchmark: 165000 - 194000 USD Yearly USD 165000.00 194000.00 YEAR
Job Description & How to Apply Below
About Cognizant Consulting

Cognizant Consulting is more than Cognizant’s consulting practice. We’re a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we’re looking for our next colleague who’ll join us in shaping the future of business. Could it be you?

About the role

As a Consulting Principal, AI-Led Mainframe Modernization
, you will make an impact by leading complex mainframe transformation engagements and applying generative AI and AI-enabled engineering capabilities to accelerate modernization from discovery through cloud migration and stabilization.

You will work collaboratively with client executives, enterprise architects, business and technology leaders, engineering teams, and AI/ML professionals to define modernization strategies, architect target-state solutions, and deliver large-scale legacy transformation programs.

In this role, you will:
  • Lead end-to-end mainframe modernization engagements
    , including discovery, application and infrastructure assessment, inventory and dependency analysis, target-state architecture, code and data transformation, cloud migration, cutover, and stabilization.
  • Define modernization strategies and transformation roadmaps across rehost, replatform, refactor, re-architect, and replace approaches, incorporating AI-driven portfolio analysis, complexity assessment, estimation, and solution design.
  • Apply generative AI and AI-enabled engineering solutions such as Git Hub Copilot, Azure OpenAI, Amazon Q, Claude, ChatGPT, code translators, and rule‑extraction capabilities to accelerate code comprehension, conversion, documentation, testing, and engineering productivity.
  • Provide architecture and technical governance throughout the transformation lifecycle, including modernization patterns, cloud‑native architecture, AI tool selection, responsible‑AI guardrails, human‑in‑the‑loop validation, and quality assurance of AI‑generated code.
  • Advance AI‑led modernization capabilities by developing reusable accelerators and intellectual property, mentoring consulting and engineering teams, supporting client workshops and solutioning, and contributing to thought leadership and go‑to‑market initiatives.

Work model

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States with some travel involved. Regardless of your working arrangement, we are here to support a healthy work‑life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations.

What you must have to be considered
  • 12+ years of hands‑on experience with mainframe applications and technologies
    , including COBOL, JCL, VSAM, DB2, CICS, IMS, and/or Assembler, with experience serving as a Technical Lead or Architect on complex modernization programs.
  • Proven track record delivering end‑to‑end mainframe modernization
    , beyond advisory and assessment, including code conversion, application decomposition, API enablement, data migration, cloud migration, cutover, and go‑live.
  • Hands‑on experience applying generative AI and LLM‑enabled capabilities to modernization
    , including code comprehension, business‑rule extraction, automated code conversion/refactoring, documentation, test generation, and AI‑assisted estimation.
  • Strong knowledge of mainframe modernization, cloud, and engineering platforms
    , including technologies such…
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