About the role
In this role, you will:
- Define and drive the enterprise roadmap and reference architectures for AI agent platforms and multi-agent ecosystems using Google ADK, Vertex AI, LangGraph, CrewAI, AutoGen, and related orchestration frameworks.
- Provide technical governance for large-scale agentic AI implementations and evaluate emerging AI agent technologies, frameworks, and protocols, including MCP and A2A communication standards.
- Lead AI agent development teams and strategic programs, driving platform scalability, security, resiliency, operational excellence, architecture reviews, and production readiness.
- Establish engineering standards, development lifecycle practices, observability frameworks, deployment patterns, reusable agent frameworks, accelerators, and governance models.
- Collaborate with executive stakeholders to align AI initiatives with business objectives while sponsoring innovation, proof-of-concepts, capability-building programs, and adherence to responsible AI, compliance, and security requirements.
Work model
What you need to have to be considered
- 12+ years of software engineering experience, including 5+ years in AI/ML leadership roles.
- Expert knowledge of Google ADK, Vertex AI, Generative AI architectures, and multi-agent systems.
- Extensive experience designing enterprise-scale AI platforms on Google Cloud.
- Strong expertise in Python, cloud-native architectures, CI/CD, containerization, and DevOps practices.
- Experience leading large engineering teams and managing complex transformation initiatives.
These will help you stand out
- Deep understanding of AI governance, evaluation frameworks, observability, and production operations.
- Experience with agent orchestration frameworks such as LangGraph, CrewAI, and AutoGen.
- Knowledge of emerging agent communication protocols, including MCP and A2A.
- Experience establishing reusable agent frameworks, accelerators, engineering standards, and governance models.
- Experience sponsoring AI innovation initiatives, proof-of-concepts, and capability-building programs.
Salary and Other Compensation
- 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
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.
Applicants for US based positions must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for US based positions.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.
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.











