About Cognizant Consulting
Cognizant Consulting is more than Cognizant’s consulting practice—we’re a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we’re looking for our next colleague who’ll join us in shaping the future of business. Could it be you?
About the role
As a Consulting Principal, Enterprise AI you will make an impact by defining enterprise-wide AI architecture strategy and establishing scalable, secure, and governed AI solutions across a portfolio of SaaS, fintech, payments, and Hi-Tech clients. You will be a valued member of the Enterprise Architecture team and work collaboratively with executive stakeholders, solution architects, engineering leaders, product teams, delivery organizations, and client leadership to drive AI transformation at enterprise scale.
In this role, you will:
Define enterprise AI architecture vision, governance standards, and target-state roadmaps that enable AI-augmented operations, intelligent automation, and enhanced customer and employee experiences
Architect scalable, resilient, explainable, and secure GenAI, machine learning, RAG, and agentic AI solutions while establishing reusable reference architectures and accelerators across client portfolios
Design cloud-native architectures and integration patterns across AWS, Azure, and GCP, ensuring AI capabilities are seamlessly integrated with SaaS platforms, payment ecosystems, finance systems, ServiceNow, Salesforce, DocuSign, and other enterprise applications
Establish architecture governance, responsible AI standards, model evaluation frameworks, compliance controls, and Architecture Review Board processes to ensure production-ready solutions
Serve as a trusted advisor to client executives while supporting solutioning, pre-sales activities, discovery workshops, proof-of-concepts, and large-scale transformation initiatives
Work model – Hybrid
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 3 days a week in a client or Cognizant office. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
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 must have to be considered
12–15+ years of Enterprise Architecture experience supporting large-scale enterprise technology transformation programs
Proven experience architecting enterprise-grade AI, GenAI, machine learning, and agentic AI solutions
Deep expertise with TOGAF Architecture Development Method (ADM) and Enterprise Architecture governance frameworks
Significant client-facing consulting experience, including executive stakeholder engagement, solutioning, pre-sales, and strategic advisory responsibilities
Strong experience designing cloud-native architectures across AWS, Azure, and/or Google Cloud Platform
Expertise in microservices, Kubernetes, Docker, event-driven architecture, Kafka, REST APIs, and enterprise integration patterns
Experience designing GenAI solutions including RAG architectures, vector databases, LLM onboarding, AI orchestration frameworks, and autonomous agent solutions
Strong understanding of AI governance, responsible AI practices, model evaluation frameworks, privacy requirements, and regulatory compliance controls
Demonstrated ability to independently develop proofs of concept and working prototypes to validate AI solutions and architecture decisions
Experience establishing architecture standards, reusable frameworks, governance processes, and enterprise reference architectures
These will help you succeed
Domain expertise in SaaS platforms, fintech and payments, finance automation, semiconductor manufacturing, or Hi-Tech enterprise environments
Experience supporting fraud detection, risk decisioning, payment processing, ledger platforms, identity management, compliance, and financial automation initiatives
Experience integrating AI solutions with Salesforce, ServiceNow, DocuSign, ERP platforms, finance systems, and payment ecosystems
Hands-on experience with LangChain, LlamaIndex, MLflow, Hugging Face, PyTorch, TensorFlow, and vector database technologies
Experience designing enterprise data platforms, lakehouse architectures, Kafka-based streaming solutions, and large-scale analytics ecosystems
Experience operating within highly regulated environments requiring PCI-DSS, SOX, privacy, fraud prevention, resilience, and audit controls
Experience leading Architecture Review Boards, Design Review Boards, and enterprise governance councils
Experience developing proposals, estimates, statements of work, and executive-level solution presentations
TOGAF certification and cloud architecture certifications across AWS, Azure, or GCP
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, state or local laws.
