Enterprise AI Architecture Leader

Cognizant; Natoma (CA); Hybrid; USD 250,000 - 420,000; Full time

Job summary

Cognizant is seeking a Chief Architect to lead enterprise AI architecture, guiding generative AI and ML integration across complex platforms. Role emphasizes scalable architectures, ethical AI usage, and strategic alignment with long-term organizational goals.

Leadership responsibilities include governance, collaboration with diverse teams, and defining non-functional requirements for robust AI systems across hybrid environments.

Qualifications

• Twenty years of designing large-scale enterprise architectures with AI/ML in real-world business contexts.
• Hands-on expertise in generative AI: architectures prompting techniques fine-tuning deployment strategies across cloud/native or on-premises.
• Deep understanding of AI/ML foundations: supervised/unsupervised learning, model evaluation, optimization, data prep.

Responsibilities

• Lead enterprise-wide AI architecture definition embedding generative AI and ML into core platforms for scalable, resilient solutions.
• Create AI solution blueprints detailing data flows, lifecycles, services, and integration patterns for reusability across hybrid environments.
• Oversee governance standards, design principles, and review processes ensuring robustness, efficiency, and responsible AI practices.
• Guide model selection, training, deployment, optimization for secure data handling and transparent evaluation of performance and bias.
• Coordinate with data science, engineering, security, and business stakeholders to translate analytics needs into practical AI architectures.
• Develop reference architectures for AI workloads including model orchestration, feature stores, experiment tracking, and monitoring.
• Evaluate emerging AI/ML technologies and provide architectural recommendations balancing innovation, cost, and readiness for large multinational environments with no travel expectations.
• Define non-functional requirements for AI systems such as scalability, latency, reliability, observability, and regulatory adherence.
• Collaborate on data pipelines and model serving infrastructure supporting training, validation, and inference with privacy considerations.
• Document architectural decisions and operational guidelines to keep AI platforms understandable and auditable.
• Mentor teams on architecture best practices and reusable components to improve customer experiences and business outcomes.
• Review complex AI implementations and provide feedback addressing security, resilience, and sustainability without adding unnecessary complexity or travel.
• Influence roadmaps for scaling generative AI responsibly across markets to improve efficiency, personalization, and social value.

Skills

AI architecture

Generative AI

Model deployment

Governance

Collaboration

Responsible AI

Hybrid work

Enterprise-scale

Regulatory awareness

Job description

Cognizant is seeking a Chief Architect to lead enterprise AI architecture, guiding generative AI and ML integration across complex platforms. Role emphasizes scalable architectures, ethical AI usage, and strategic alignment with long-term organizational goals.

Leadership responsibilities include governance, collaboration with diverse teams, and defining non-functional requirements for robust AI systems across hybrid environments.