About the role
As a Technical Project Manager - Agentic AI Platforms, you will make an impact by leading the strategy, delivery, and operationalization of enterprise AI products powered by large language models (LLMs), agentic workflows, and intelligent automation. You will be a valued member of the AI and Digital Engineering team and work collaboratively with Product, Engineering, Data/ML, Security, Operations, Legal, Compliance, and business stakeholders to deliver scalable, reliable, and measurable AI-driven solutions.
In this role, you will:
- Own the end-to-end lifecycle of Agentic AI products, from discovery and MVP through production deployment and continuous optimization.
- Translate business objectives into practical, scalable, and measurable agentic AI capabilities that drive business value.
- Lead cross-functional teams across Product, Engineering, Data Science, Security, Operations, and business functions to deliver successful outcomes.
- Define product strategies, roadmaps, requirements, user stories, success metrics, and delivery priorities.
- Drive the design and implementation of agentic workflows leveraging LLMs, retrieval systems, memory frameworks, tool orchestration, and multi-agent architectures.
- Establish governance, observability, operational readiness, and reliability practices to ensure secure and compliant enterprise AI solutions.
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 at a client or Cognizant office based on project and business needs.
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
- 12+ years of experience in Technical Project Management, Program Management, or Project Management within enterprise software, platforms, or complex technology environments.
- Proven track record of delivering products from prototype through production with measurable business outcomes.
- Strong technical understanding of APIs, distributed systems, cloud architectures, SDLC, CI/CD, and operational readiness.
- Hands-on knowledge of LLMs and Agentic AI patterns, including retrieval, memory, planning and execution loops, tool usage, and multi-agent orchestration.
- Experience defining product vision, strategy, KPIs, success metrics, and delivery roadmaps.
- Strong background in Agile product delivery and cross-functional execution.
- Experience managing product backlogs, requirements, documentation, prioritization, and stakeholder alignment.
- Strong analytical mindset with the ability to leverage telemetry, operational metrics, and business data to drive decisions.
- Excellent communication, presentation, and stakeholder management skills.
- Experience working with enterprise security, governance, compliance, and risk management requirements.
These will help you stand out
- Experience building and scaling AI-powered products in enterprise environments.
- Knowledge of AI evaluation frameworks, responsible AI practices, and model governance.
- Experience with AI observability, monitoring, and operational excellence frameworks.
- Familiarity with vector databases, prompt engineering, RAG architectures, and agent frameworks.
- Experience working with AWS, Azure, or Google Cloud AI ecosystems.
- Knowledge of MLOps, AI engineering, or Data Science delivery practices.
- Experience leading distributed global teams and large-scale transformation initiatives.
- Ability to balance innovation, risk management, cost optimization, and business outcomes in production AI environments.
Leadership Responsibilities
- Product & Program Strategy
- Agentic AI Solution Leadership
- Requirements & Backlog Management
- Agile Delivery Execution
- AI Quality, Safety & Governance
- Enterprise Integration & Data Enablement
- Operational Readiness & Observability
- Executive Stakeholder Management
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.
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, provincial or local laws.
