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 capabilities, 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 Sr. Consulting Manager, AI Engineering, you will make an impact by designing, building, and scaling AI-powered solutions that improve software development efficiency, automation, and engineering productivity. You will be a valued member of the engineering team and work collaboratively with product, architecture, and engineering stakeholders to develop backend services and integrate AI-assisted workflows using Claude Code, Cowork, and Model Context Protocol (MCP).
In this role, you will:
Design and develop scalable backend services using Python and/or JavaScript with Node.js
Build and integrate AI-powered developer productivity solutions using Claude Code and Cowork
Implement and extend MCP-based integrations and workflows to support AI-assisted software development
Develop APIs and service integrations while troubleshooting, optimizing, and maintaining AI-enabled development platforms
Collaborate with product, architecture, and engineering teams to define solutions, drive delivery, and improve engineering productivity through AI-enabled workflows
Work model – Hybrid
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring four days per week in a client or Cognizant office and one day working remotely. 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
10+ years of experience in hands-on implementation experience with Claude Code
Hands-on experience with Cowork
Strong backend development experience using Python and/or JavaScript with Node.js
Practical experience implementing integrations and workflows using Model Context Protocol (MCP)
Experience designing, developing, and integrating AI-powered developer workflows and productivity tools
Strong understanding of API development, service integrations, and backend architecture
Experience working with Git-based development workflows
Experience working within Agile software development environments
Ability to collaborate effectively with product, architecture, and engineering teams
Ability to troubleshoot, optimize, and maintain backend services and AI-enabled development platforms
Ability to independently design, build, and deploy scalable backend solutions
These will help you succeed
9+ years of software engineering experience
Experience implementing AI developer tools, AI coding assistants, or other AI-enabled engineering productivity solutions
Experience building multiple MCP integrations within production environments
Understanding of LLM ecosystems, AI agents, prompt engineering, and developer workflow automation
Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform
Experience with modern CI/CD pipelines and software delivery practices
Experience mentoring engineering teams on AI-assisted software development practices
Strong analytical and problem-solving skills with the ability to evaluate and improve developer workflows
Ability to translate AI capabilities into scalable solutions that deliver measurable improvements in engineering efficiency
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.
Salary and Other Compensation:
Applications will be accepted until 10/28/2026
The annual salary for this position is between $140,000 to $152,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
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, state or local laws.
