- 7to 15 years of overall IT experience.
- Minimum 3+ years in Enterprise Architecture, AI Architecture, or Digital Transformation leadership roles.
- Proven experience designing and deploying enterprise-scale AI and Generative AI solutions.
- Experience leading large-scale technology transformation programs across multiple business domains.
- Strong experience working directly with executive stakeholders and client architecture boards.
- Agentic AI
- Generative AI
- AI Functional Architecture
- Enterprise Architecture
- Responsible AI
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Multi-Agent Systems
- AI Governance & Compliance
- Cloud-native AI Architectures
- AI Platform Strategy
- Enterprise Digital Transformation
- AI Strategy & Governance
- Regulated Business Processes
- Human-in-the-Loop AI Systems
- Financial Services
- Healthcare & Life Sciences
- Insurance
- Regulatory Technology
- Cloud Platforms (Azure, AWS, GCP)
- AI Security & Risk Management
- MLOps and AI Operations
- Design AI-native enterprise architectures for large transformation programs.
- Define human-agent capability matrices and operating models for AI-enabled delivery.
- Architect multi-agent ecosystems that integrate enterprise applications, data platforms, and business processes.
- Develop scalable context engineering and knowledge orchestration frameworks.
- Define guardrails, policies, and boundary specifications for agentic AI systems.
- Establish governance models for AI autonomy, decision-making, and escalation controls.
- Design human oversight mechanisms for enterprise AI operations.
- Create standards for AI system traceability, transparency, and auditability.
- Architect Responsible AI frameworks covering:
- Bias detection and mitigation
- Explainability
- Model transparency
- Ethical AI adoption
- Audit trail design
- Ensure compliance with corporate, industry, and regulatory AI requirements.
- Lead client architecture workshops and executive design reviews.
- Govern AI-First Application Development Lifecycle (ADLC) adoption across delivery portfolios.
- Define standards for AI-generated code quality, validation, and production readiness.
- Drive reusable AI architecture patterns, accelerators, and playbooks across engagements.
- Design AI-powered decisioning systems for regulated industries.
- Define compliance controls and governance checkpoints for high-risk AI use cases.
- Establish monitoring and observability frameworks for AI-driven business processes.
- Act as a trusted advisor to clients and internal leadership teams.
- Influence AI strategy, architecture standards, and innovation roadmaps.
- Mentor architects, AI engineers, and enterprise technology leaders.
- Contribute to Cognizant's AI intellectual property, frameworks, and industry best practices.
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional sobre el empleo
La información sobre la compensación es exacta en la fecha de publicación de este anuncio. Cognizant se reserva el derecho de modificar esta información en cualquier momento, de conformidad con la legislación aplicable.
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Cognizant es un empleador que ofrece igualdad de oportunidades. Su solicitud y candidatura no se evaluarán en función de la raza, el color, el sexo, la religión, el credo, la orientación sexual, la identidad de género, el origen nacional, la discapacidad, la información genética, el embarazo, la condición de veterano ni cualquier otra característica protegida por las leyes federales, estatales o locales.







