12 days ago
Base Salary
$140k - $180k/yr
Responsibilities
- Design AI-native enterprise architectures and multi-agent ecosystems integrating enterprise applications, data platforms, and business processes.
- Define human-agent capability matrices, operating models, context engineering frameworks, and knowledge orchestration approaches.
- Establish governance guardrails, autonomy policies, escalation controls, human oversight mechanisms, and standards for traceability, transparency, and auditability.
- Architect Responsible AI frameworks addressing bias mitigation, explainability, model transparency, ethical adoption, and audit trails.
- Lead client architecture workshops and executive design reviews and govern AI-First Application Development Lifecycle adoption.
- Define standards for AI-generated code quality, validation, production readiness, compliance, monitoring, and observability.
- Drive reusable AI architecture patterns, accelerators, playbooks, strategy, and innovation roadmaps across engagements.
- Mentor architects, AI engineers, and enterprise technology leaders and contribute to Cognizant's AI intellectual property and best practices.
Requirements
- 8 to 15 years of overall IT experience.
- At least 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.
- Expertise in Agentic AI, Generative AI, AI Functional Architecture, Enterprise Architecture, Responsible AI, Large Language Models, Retrieval-Augmented Generation, Multi-Agent Systems, AI Governance and Compliance, cloud-native AI architectures, and AI Platform Strategy.
- Experience with enterprise digital transformation, AI strategy and governance, regulated business processes, and human-in-the-loop AI systems.
- Bachelor's degree in Engineering, Computer Science, Information Technology, or a related discipline.
- Preferred experience includes financial services, healthcare and life sciences, insurance, regulatory technology, cloud platforms, AI security and risk management, and MLOps or AI operations.
- A master's degree is preferred.
Benefits
- Medical, dental, vision, and life insurance.
- Paid holidays and paid time off.
- 401(k) plan and contributions.
- Long-term and short-term disability coverage.
- Paid parental leave.
- Employee Stock Purchase Plan.
- Remote position; annual salary stated as $140,000-$180,000 depending on experience and qualifications.
Tech Stack
Categories
About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value. We build full-stack AI solutions powered by deep industry, process and engineering expertise — embedding an organization's unique context into technology systems that amplify human potential and drive tangible outcomes. From strategy to deployment, we help global enterprises move from AI ambition to AI impact and stay ahead in a fast-changing world. See how at cognizant.ai | Follow us @cognizant