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
Things to know before you apply
- Work authorization: Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
- Accommodations: If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
- AI in hiring: We use artificial intelligence (AI) tools to help us screen and assess applications more efficiently. Our team performs additional human review and ultimately decides who moves forward in our hiring process.
- Open position: Unless otherwise stated, this job posting is for an open position on our team.
- Language proficiency: We ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
- Inclusion: Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.











