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Added 1 min ago
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Added 19 mins ago
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Added 21 mins ago
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Senior .NET Full Stack Engineer with C#
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- $86,000 to $99,000 USD / year
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Added 21 mins ago
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Closed listing

Cognizant

Consulting Principal, AI-Led Mainframe Modernization

Little Rock, AR, United States

$165,000-$194,000

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Pay: $165,000-$194,000
Posting language: English
Posted: Oct 28, 2026

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Original job description

Archived listing. The details below describe a past opening.

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 GitHub 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 as IBM z/OS Connect, AWS Mainframe Modernization, Micro Focus/OpenText, Heirloom, Raincode, Docker, Kubernetes, CI/CD, microservices, middleware, and at least one major cloud platform such as AWS, Microsoft Azure, or Google Cloud.
Strong consulting and client-facing experience, including the ability to architect complex transformation solutions, engage senior client stakeholders, lead cross-functional teams, manage technical risks, and communicate the business value and ROI of AI-enabled modernization.

These will help you succeed

Practical experience designing and validating AI-assisted code conversion pipelines , including prompt engineering, LLM evaluation, accuracy benchmarking, AI output-quality controls, responsible-AI practices, and human-in-the-loop validation.
Experience developing or scaling AI-enabled modernization accelerators or intellectual property , including inventory analyzers, code translators, business-rule extraction engines, test-case generators, or modernization workbenches.
Strong understanding of cloud-native architecture, application portfolio rationalization, DevOps, MLOps, containerization, microservices, service mesh, and enterprise architecture frameworks such as TOGAF .
Experience delivering complex modernization engagements across industries such as insurance, banking and financial services, healthcare, and retail , working across business SMEs, architects, developers, DevOps, and AI/ML engineering teams.
Relevant certifications such as AWS Solutions Architect, Azure Solutions Architect, Google Cloud Professional Cloud Architect, Azure AI Engineer, AWS AI/ML certifications, TOGAF, or equivalent credentials .

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Compensation

$165,000-$194,000

This position is eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. The U.S. template identifies compensation as mandatory where required by state law.

Benefits

Medical, dental, vision, and life insurance
401(k) plan and contributions
Employee stock purchase plan
Employee assistance program
10 paid holidays plus PTO
Paid parental leave and fertility assistance
Learning and development certifications and programs

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

About employer

More about this job

Skills

ML
Estimating
GitHub
Microsoft Azure
Documentation
Coaching
Leadership
REST Assured
COBOL
JCL
IBM DB2
CICS
AWS
Docker
Kubernetes
CI/CD
Microservices
Google Cloud
DevOps

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