Job description

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. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

Requirements

Must-haves

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
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonjavascriptnode.jsrestapiagilellmawsazureci/cd

Platform: cognizant
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave