1 day ago
Chennai, IndiaStaff+
Responsibilities
- Design AI-native enterprise architectures and human-agent capability matrices for enterprise delivery programs.
- Author guardrail specifications and boundary documentation for agentic systems.
- Lead client architecture review workshops and produce context-pipeline blueprints.
- Govern ADLC adoption and define standards for AI-generated code quality.
- Architect responsible-AI frameworks covering bias detection, explainability, and audit trails.
- Design regulated AI decisioning systems with appropriate compliance controls.
- Lead Frontier Engineer and Master cohorts technically while owning AI-native systems and customer outcomes end to end.
Requirements
- 12–22 years of experience with enterprise AI architecture leadership.
- Demonstrated enterprise-scale AI architecture and responsible-AI leadership.
- Expertise in AI-native enterprise architecture, guardrail specification, responsible-AI frameworks, context-pipeline architecture, cross-platform AI integration, AIOps orchestration, regulated AI decisioning, frontier-model evaluation, red-teaming, and human-agent capability modeling.
- Ability to provide enterprise AI architecture, technical leadership, advisory guidance, AI quality and evaluation design, domain judgment, and business-outcome orientation.
- Successful completion of the Frontier CoE assessment at Architect level.
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About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.