About the role
As a Senior AI Agent Lead, you will make an impact by leading the design, delivery, and deployment of enterprise-scale autonomous AI agent solutions powered by Google's Gemini Large Language Models. You will be a valued member of the AI and Cloud Engineering team and work collaboratively with business stakeholders, machine learning engineers, cloud architects, and technology leaders to deliver innovative, business-driven AI capabilities.
In this role, you will:
- Lead the end-to-end delivery of scalable, autonomous AI agent solutions leveraging Google Gemini models and agentic AI frameworks.
- Define and drive cloud-native architecture strategies for AI platforms deployed on Google Kubernetes Engine (GKE).
- Oversee the implementation of the Model Context Protocol (MCP) to securely connect AI agents with enterprise applications, internal data sources, and external business tools.
- Partner with business and technology stakeholders to translate strategic objectives and complex requirements into actionable delivery roadmaps.
- Provide technical leadership and governance for AI solution design, deployment, security, scalability, and operational excellence across the AI ecosystem.
Work model
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 attendance in a client or Cognizant office in Atlanta, Georgia. 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 need to have to be considered
- 7+ years of experience leading technology delivery, platform engineering, or enterprise software development initiatives.
- Proven expertise designing and implementing Generative AI, Large Language Model (LLM), and AI agent orchestration solutions.
- Hands-on experience with Google Cloud Platform (GCP), including cloud-native architecture and deployment practices.
- Strong knowledge of Kubernetes, containerized application deployment, and Google Kubernetes Engine (GKE).
- Understanding of GCP security principles, governance frameworks, and secure AI application development.
- Demonstrated ability to lead cross-functional teams and communicate effectively with both technical and non-technical stakeholders.
- Experience translating business requirements into technical strategies, roadmaps, and execution plans.
These will help you stand out
- Experience working with Google Gemini models and the broader Vertex AI ecosystem.
- Knowledge of Model Context Protocol (MCP) architecture and enterprise AI integrations.
- Experience building enterprise-scale agentic AI solutions in regulated or large-scale environments.
- Familiarity with MLOps, AI platform operations, and production AI lifecycle management.
- Cloud certifications related to Google Cloud Platform, Kubernetes, or AI/ML technologies.
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 August 30, 2026.
The annual salary for this position is between $ 150,000 - $ 180,000 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.
